RWS Blog RSS https://www.rws.com/blog/ai-ip-and-the-shift-toward-portfolio-intelligence/ RWS took to the stage at the CNFI's first customer forum in Taipei. On April 24, RWS partnered with the Chinese National Federation of Industries (CNFI) to host its first customer forum in Taipei: “AI-Driven New Era of IP Management – Building a New Ecosystem for the Full IP Lifecycle.”. . The forum brought together nearly 200 professionals from the IP and technology community to discuss how artificial intelligence (AI) can support intellectual property (IP) management across the full lifecycle, including invention, application strategy, portfolio management, maintenance, analytics and commercialization.. . James Lacey, CEO of RWS IP solutions, gave the keynote presentation, “AI x IP: A New Connected Ecosystem for the Full IP Lifecycle.” His session explored how technology, data and expert support are changing the way organizations manage global IP portfolios. After the forum, we spoke to James about his experience in Taipei, the themes behind his presentation and how he sees AI shaping the next phase of IP management.. . It was James’s first time back in Taipei since 2019, and the pace of change was immediately clear.. . “First time I have been back in Taipei since 2019 and I’ve been struck by the pace of innovation and willingness to adopt AI solutions,” he said. “This event is special to me since although RWS was founded in 1958 and now has over 7,000 employees globally, it’s our first ever IP focused event in Taipei and I’m looking forward to meeting with over 200 leading IP industry experts.”. . The event marked an important milestone for RWS IP solutions, bringing clients, partners and senior IP professionals together for a practical discussion about AI, portfolio strategy and the future of IP operations.. . 2026-05-18T15:35:32.552Z Blog https://www.rws.com/blog/pillars/the-ultimate-guide-to-ip-research/ Strategic IP research explained – how legal teams use expert-led IP research to assess risk, uncover opportunity and make defensible decisions across the IP lifecycle. How legal professionals can make stronger, clearer and more defensible decisions through expert-led intellectual property research.. . For decades, IP research has been a cornerstone of innovation. Long before intellectual property became a board-level concern, legal teams relied on structured research and established methodologies to guide organizations through complex legal landscapes. Those foundations still matter. What has changed is the context in which IP research operates, and the expectations placed upon it.. . Today, innovation cycles move faster, competition is global by default and legal risk rarely sits neatly within one jurisdiction or one form of IP. As a result, IP research is no longer confined to reactive legal checks or isolated support tasks. By 2026, it has evolved into a proactive form of business intelligence – one that informs strategy earlier, supports clearer decision making and helps organizations safeguard intangible assets in an environment where uncertainty is the norm.. . For legal professionals, this shift is tangible. IP research now underpins decisions that shape product roadmaps, investment priorities, licensing strategies and enforcement posture. It must do more than confirm compliance. It must clarify risk, expose opportunity and provide reasoning that can withstand scrutiny from stakeholders who expect evidence, not assumptions.. . This guide explores what IP research really covers, how it supports different legal and commercial decisions and why expertise remains central as technology reshapes how research is conducted. Throughout, the emphasis stays on what legal teams actually need: clarity, defensibility and a clear line from evidence to recommendation.. . . 2026-05-18T09:37:15.893Z Blog https://www.rws.com/blog/ai-dubbing-in-2026/ Discover how AI dubbing is transforming video localization. Learn the benefits, challenges, ethics and real-world uses for streaming, business and eLearning. AI dubbing: giving your videos a global voice Audiences around the world don’t share one language, but they share the same expectation – content that feels like it was made for them. Meeting that expectation has never been easy. . Subtitles are quick to produce but can distract from what’s happening on screen. Traditional dubbing delivers great quality but can come with high costs, long lead times and limited flexibility. . AI dubbing changes how those choices play out. By combining technologies like speech recognition, translation and voice cloning, it can create new dialogue tracks in multiple languages – fast. What makes it remarkable is that it can keep the speaker’s natural tone and rhythm, so an actor, presenter or teacher sounds like themselves in every language. . For organizations, this opens up new ways to localize video at scale. A single training course or product demo can be ready for ten markets at once. A creator can grow their audience overnight. Teams can share the same message everywhere, without weeks of studio work in between. . The business case is strong. AI dubbing can cut costs by up to 90% and reduce production times from months to days. That speed removes one of the biggest barriers to global communication – making it possible to launch, teach and connect faster than ever. . Still, automation alone isn’t enough. AI can handle the scale, but people bring the quality and cultural understanding that make content feel right. The most effective workflows combine both. . This guide walks through how AI dubbing works, where it fits in video localization, its benefits and challenges, and what to consider before you start. Whether you create entertainment, training or corporate content, the goal is the same: help your videos speak to everyone.. . 2026-05-17T16:17:06.208Z Blog https://www.rws.com/blog/pillars/localization-technology-2026-complete-guide/ Explore localization technology in 2026 – from AI and automation to platforms, QA and analytics – and how modern ecosystems power global content operations. The state of localization technology in 2026 . . Not long ago, localization technology was a collection of tools – a TMS here, a CAT tool there, a checklist of workflows and a handful of spreadsheets keeping everything glued together. The work still got done, but the tooling reflected a world where content moved predictably and teams had enough time to keep pace with releases. . . That world is gone. . . Today, enterprises operate across dozens of content systems and authoring tools. Product updates ship continuously. New content emerges every hour, not every quarter. Artificial intelligence accelerates creation and translation at a scale that was unthinkable a decade ago. And customers expect every interaction – every page, every screen, every support article – to feel as polished and consistent as the original. . . Localization has moved from function to infrastructure. And infrastructure needs technology that can keep up. . . This shift has made 2026 a turning point. The market is no longer debating whether localization technology should be modernized. The question now is how to modernize – and how to build an ecosystem that can absorb rapid change without losing quality, trust or control. . . The pressure rarely starts in the localization team itself. It begins when product owners want simultaneous global releases, when marketing wants localized campaigns ready alongside the master, when support teams need AI-generated content reviewed and deployed in multiple languages in days, not weeks. Localization technology is the layer that makes those promises realistic rather than aspirational. . . A modern localization technology stack must: . . orchestrate complex workflows integrate with the tools that teams actually use support AI without exposing the business to risk enforce governance and consistency adapt to unpredictable content flows provide visibility across every stage of the process Most importantly, it must create conditions for Human + AI collaboration – where automation accelerates workflows and humans shape meaning, nuance and brand integrity. That usually means designing workflows that deliberately route higher-risk content to human translators, while using AI translation to reduce time on repetitive tasks and high-volume updates. . . This deep dive explores that ecosystem: what it includes, how it works and why enterprises rely on it to operate globally with confidence. . . 2026-05-15T08:36:30.941Z Blog https://www.rws.com/blog/why-your-ai-content-does-not-scale/ Balancing speed with performance in content marketing. AI has made content creation fast. Genuinely fast.. Campaigns that once took weeks can now be produced in hours. Product content gets updated in near real time. The front end of the content lifecycle has accelerated in ways that felt impossible just a few years ago. For many enterprise teams, generation is no longer the constraint.. The problem surfaces later – in market performance data, in localization rework, in the gap between what content does at home and what it does everywhere else.. Our new research with 200 senior enterprise content leaders lays out the scale of the challenge. While 86% say AI is accelerating content creation, 65% say it has slowed localization – because of the rework it generates downstream. Faster generation alone won’t fix that. The issue runs deeper, into how content is designed, governed and moved through systems that weren’t built for AI-driven volume.. Here are seven reasons why AI content breaks down across markets – and what to do about each.. . 2026-05-14T15:30:06.261Z Blog https://www.rws.com/content-management/blog/benefits-content-reuse-how-it-delivers-ROI-CCMS/ Learn about the benefits content reuse brings and how it delivers ROI through a CCMS 2026-05-13T15:51:25.741Z Blog https://www.rws.com/content-management/blog/the-all-in-one-guide-to-structured-content/ The all-in-one guide to structured content: benefits, technology and AI readiness 2026-05-13T15:48:49.041Z Blog https://www.rws.com/content-management/blog/what-is-technical-documentation/ Learn how to create and maintain excellent technical documentation with structured content, automation and AI 2026-05-13T15:48:21.932Z Blog https://www.rws.com/content-management/blog/what-is-structured-content/ What is structured content and how can it save time and money for organizations that need to stay ahead of their competition When we think about content, we think first about the form it takes: a book, document, image, video or other representation. Each form of content has its own structure. Written forms, for example, come with structural signposts such as title, subtitle, sections and paragraphs, which help us to understand the anatomy of the material. But this isn’t what we mean when we refer to ‘structured content’. In the world of structured content, a document with all these signposts may be unstructured content. Not all content that has a structure is structured content. 2026-05-13T15:48:18.368Z Blog https://www.rws.com/blog/ai-translation-for-business-strategic-implementation-guide/ Learn how to build an enterprise AI translation strategy, measure AI translation ROI, set quality benchmarks and scale hybrid translation workflows | RWS AI translation is now a core part of global content operations. Businesses use it to publish product content faster, support customers across languages and keep multilingual updates moving as content volumes grow.. Yet success depends on more than choosing a model. You need a clear implementation plan for where AI fits, where human expertise adds value and how quality, security and accountability are managed at scale.. That is where using AI translation for business becomes a strategic decision that must be implemented across an organization. Deploying this strategy will shape your entire business – from the way teams work to the content produced.. A strong enterprise AI translation approach helps you increase speed, control cost and protect trust across every market you serve – all while scaling to meet internal and external content demand.. 2026-05-12T10:34:03.026Z Blog https://www.rws.com/blog/building-a-language-operations-langops-framework/ Learn how a LangOps framework helps enterprises centralize localization, break down silos and build scalable language operations | RWS Language touches every part of a global business. It shapes product experiences, support content, marketing campaigns, regulatory documentation and internal knowledge. Yet in many organizations, language still sits inside disconnected workflows, scattered tools and one-off requests.. That approach slows teams down. It creates inconsistency and makes global content harder to govern as volume grows.. A stronger model treats language as a core operational capability. This is where language operations come in. A modern LangOps framework helps organizations move from project-based localization to a scalable system that supports speed, quality and control across the business.. For enterprises managing multilingual content across markets, channels and teams, this is a major mindset and operational shift. It means treating language as infrastructure instead of the end point in the translation process.. 2026-05-12T10:11:11.356Z Blog https://www.rws.com/blog/generative-engine-optimization-geo-for-multilingualbrands/ Learn how multilingual GEO helps global brands improve AI search localization, strengthen multilingual AI visibility and optimize content for AI discovery | RWS Generative engine optimization has changed what visibility means for global brands. It is no longer only about ranking on a search results page. It is about becoming a source AI systems can retrieve, trust and cite when they answer questions in different languages and markets.. For localization teams, that creates a new priority. Multilingual AI visibility is becoming just as important as multilingual search visibility.. If your brand appears in AI-generated answers in English but disappears in German, Japanese or Portuguese, you do not have a content problem in one market. You have a discoverability problem across your global content operation.. 2026-05-12T10:11:03.213Z Blog https://www.rws.com/blog/hyper-localization-strategy-beyond-translation-to-cultural-personalization/ Learn how hyper-localization helps global brands move beyond translation with cultural personalization, regional content adaptation and user-level localization | RWS When businesses go global, it’s assumed their content will be localized to each new country they expand into. Having French content prepared for expansion into France, for example, has been considered the correct course for decades.. But creating localized content (e.g. French versions for French people) is only scratching the surface in 2026. Demand and expectations are changing, which is why global enterprises are now seeking hyper-localization solutions.. Today, audiences expect digital experiences that feel relevant to them: be it their city, context, preferences or intent. A Spanish speaker in Miami may not respond to the same message, product framing or cultural references as a Spanish speaker in Madrid.. A French speaker in Montpellier may have a wildly different outlook from one in Montreal.. Yes, the language may overlap but their individual experiences don’t.. That is why hyper-localization matters. It moves the practice of content localization from broad market adaptation to more precise, meaningful and context-aware experiences. With the help of artificial intelligence, it brings together language, culture, behavior and design so content feels made for the audience receiving it.. For global brands, this is where localization beyond translation becomes a competitive advantage. The goal is not just to be understood, but to feel relevant, trustworthy and native in every market.. 2026-05-12T10:10:53.569Z Blog https://www.rws.com/blog/Continuous-localization-real-time-translation-for-agile-teams/ Learn how continuous localization helps teams deliver real-time translation through automated workflows, CI/CD integration and multilingual releases | RWS From product features and marketing content to regulatory documentation and customer support provision – expanding into a new market means going live across languages at the same time.. What’s more, enterprises need to keep localizing once they’ve expanded.. That’s why continuous localization has become a core operating model in 2026. It treats content translation as an ongoing flow connected to development, content and release management, rather than a series of separate handoffs.. It’s an agile approach to translating and adapting content in real time, so businesses can create, update and integrate directly into content workflows. Do it right, and your products and digital experiences are ready for global release from day one.. At a practical level, this is where real-time translation, agile localization and continuous translation start to overlap.. Why? Because agile teams release in short cycles and product content changes constantly. Support articles, UI strings, onboarding flows and release notes all move at different speeds, and all need to be overseen by a central hub.. Continuous localization makes the entire matrix workable by connecting source changes to translation workflows automatically, so localized content moves with the product instead of trailing behind it.. 2026-05-12T10:08:40.924Z Blog https://www.rws.com/blog/translation-api-integration-developers-guide-to-multilingual-products/ Explore translation API integration for multilingual products. Compare APIs, machine translation options and enterprise best practices | RWS Managing multilingual digital products in 2026 requires product teams to release updates constantly, support users in real time and publish content across multiple systems at once. It’s not an easy job and it fundamentally changes the role of translation. . For many developers, the solution is to embed a translation API within their digital products. But the challenge becomes how to design translation API integration so your multilingual content moves through your product without slowing releases, breaking context or creating governance headaches. . Get the integration right and you achieve a much smoother process that ultimately makes the product work better.. And that’s why teams increasingly look for a translation API for developers that fits into their existing architecture, supports automation and stands up to enterprise demands.. Time for API-first localization Step forward API-first localization. A machine translation API can help you translate strings, messages and documents on demand. But for enterprise teams, the real value comes from building a reliable multilingual workflow around it – with authentication, monitoring, caching, error handling and quality controls built in from the start. To make that work, developers need more than fast translation output. They need APIs that fit real product architectures, support automation and scale cleanly across multilingual workflows. This guide covers what to evaluate, how a REST translation API typically works, where different providers fit and what good implementation looks like in practice.. 2026-05-12T10:08:16.36Z Blog https://www.rws.com/blog/adaptive-machine-translation-self-learning-translation-systems-for-enterprise/ Explore adaptive machine translation for enterprise, including Adaptive MT, custom machine translation, feedback loops and more | RWS Most enterprise content is not static, and translation systems should not be either. As multilingual workflows become more complex, organizations need technology that can improve with use rather than repeat the same mistakes at scale. . That is the promise of adaptive machine translation: systems that learn from terminology, translation memory and human feedback to deliver more consistent, more useful output over time.. At its best, this becomes a form of self-learning translation. The system starts with a strong neural foundation, then gets sharper as it sees more of your preferred language, your specialist terms and your team’s feedback.. For enterprises, that matters because generic output rarely meets what is expected of content in 2026. Legal teams need consistency. Marketing teams need tone. Technical teams need domain accuracy. And it may all need to be localized with care and nuance. . That is where custom machine translation starts to outperform one-size-fits-all tools.. 2026-05-12T10:07:55.17Z Blog https://www.rws.com/blog/content-unlocked-report-reveals-reality-enterprise-ai-at-scale/ Explore how enterprise content is evolving in the age of AI – and where that evolution is creating unexpected challenges. We’ve just released new research exploring how enterprise content is evolving in the age of AI – and where that evolution is creating unexpected challenges.. . The report – Content unlocked: What enterprise AI doesn’t know it’s missing – draws on insights from 200 enterprise leaders to examine how organizations are scaling content across markets, and what happens when speed at the point of creation meets the realities of global delivery.. . The result is a more grounded view of how AI is reshaping global content – and where it is falling short.. . . 2026-05-12T09:48:36.403Z Blog https://www.rws.com/blog/the-myth-of-the-universal-llm/ No single LLM wins across languages and tasks. RWS's multilingual LLM synthetic data generation study 2.0 shows why context should drive model selection. Every time a new model drops, the same ritual plays out. Teams scan the leaderboard, identify the top scorer and update their stack accordingly. The process is fast and decisive, and it often leads to wasted spend, misaligned performance and avoidable rework at scale.. In TrainAI’s multilingual LLM synthetic data generation study 2.0, we evaluated how leading large language models (LLMs) perform under real-world multilingual conditions. Each model was ranked on a scale of one to five. The higher the score, the better the performance.. Overall, Gemini 2.5 Pro leads with an average score of 4.73 out of 5, followed by Claude Sonnet 4.5 at 4.61 and DeepSeek V3.1 at 4.51.. . Those numbers are real, and they matter. But they only tell part of the story. Read on to learn why enterprise teams building multilingual AI systems can’t assume that a single “best” LLM will work best in every context.. . 2026-05-11T14:36:08.415Z Blog https://www.rws.com/blog/convex-2026-pittsburgh-structured-content/ ConVEx 2026 reinforced a simple truth: structured content is no longer optional. It is foundational. As the community marked 20 years of DITA, this year’s conference felt both like a celebration and a checkpoint. DITA’s journey from its beginnings at IBM to its use across industries has created a practical foundation for something many organizations are now trying to build at speed: AI-ready content ConVEx 2026 reinforced a simple truth: structured content is no longer optional. It is foundational.. As the community marked 20 years of DITA, this year’s conference felt both like a celebration and a checkpoint. DITA’s journey from its beginnings at IBM to its use across industries has created a practical foundation for something many organizations are now trying to build at speed: AI-ready content.. 2026-05-11T09:26:14.223Z Blog https://www.rws.com/content-management/blog/how-FDAs-KASA-initiative-and-structured-content-streamline-regulatory-submissions/ How FDA’s KASA initiative is streamlining regulatory submissions by moving away from unstructured content to structured content and data Moving beyond unstructured text. As early as the 2000s, it was clear that the FDA needed better tools to promote a more agile and flexible pharmaceutical manufacturing sector that could produce high quality drugs reliably with lessened regulatory oversight. For this purpose, they launched several programs and initiatives such as Process Analytical Technology (PAT), Current Good Manufacturing Practices (CGMPs), or Quality by Design (QbD), among many others. But something was still missing, as some issues continued to flow through the system: the lack of an efficient, consistent and objective process for pharmaceutical quality.. 2026-05-08T15:15:34.953Z Blog https://www.rws.com/blog/how-to-run-ai-localization-pilot/ Learn how to ditch a six-month RFP process and choose the right partner to operate an AI localization pilot in your business. For years procurement teams evaluating localization partners have relied on a familiar process: the request for proposal (RFP). . In a traditional RFP, procurement teams invite vendors to submit detailed documentation explaining their technology, pricing models and service capabilities. The process allows organizations to compare suppliers systematically before selecting a partner. . This approach worked well when localization was primarily a human translation service. . But AI has revolutionized localization and changed how it is implemented.. Modern AI localization systems now combine neural machine translation (NMT), large language models (LLMs), automation workflows and human expertise to generate multilingual content at enterprise scale. These systems process enterprise knowledge, integrate with content platforms and continuously adapt as models improve. . In 2026, evaluating technology of this complexity through written proposals alone is increasingly difficult – and costly. . A localization RFP may take six months or more to complete. By the time a vendor is selected, the technology landscape has already shifted, and your translation projects are well behind schedule. . Procurement leaders are beginning to recognize the gap – and find solutions to the problem. . Instead of relying solely on traditional RFP processes, many organizations are introducing structured AI localization pilots as part of their evaluation strategy. . When designed correctly, these pilots provide something an RFP cannot: direct evidence of how a localization system performs in real operational environments.. 2026-05-06T10:28:50.554Z Blog https://www.rws.com/blog/ai-localization-explained-for-procurement-leaders/ A procurement leader’s guide to AI localization in 2026 | Learn why procurement now has a say in global localization efforts. Selecting a localization partner in 2026 requires procurement teams to evaluate technologies that did not exist in traditional translation services. Neural machine translation, large language models and retrieval-augmented generation are now central to enterprise localization platforms. . For procurement leaders, however, the challenge is not learning the technical details of these systems. That’s for those within an organization who will implement these systems to localize content. . The challenge is uderstanding what they mean for prospective partner evaluation, governance and risk management. . The market is full of providers promising AI-powered localization, automated workflows and dramatically faster translation. Yet these systems vary widely in how they use AI, how they protect enterprise data and how they combine automation with human expertise. . Two prospective partners may appear similar in a product demonstration while operating on completely different technological foundations. One may rely on public machine translation models with minimal oversight. Another may operate enterprise-grade AI infrastructure supported by governance controls and expert human review. . For procurement teams responsible for selecting localization partners, these differences are critical. . Choosing a partner is no longer simply about language coverage or translation cost. It requires evaluating how AI technologies operate inside localization systems and what governance frameworks support them. . 2026-05-06T10:28:16.06Z Blog https://www.rws.com/blog/the-ai-localization-partnership-scorecard-2026/ Use our AI localization partnership scorecard to value a new translation partner over 25 crucial criteria. Selecting an AI localization partner in 2026 requires evaluating a host of capabilities – far beyond the traditional procurement metrics of price, language coverage and delivery speed. . Yet the industry landscape makes it difficult to visualize these criteria and make a sound judgement on who to partner with. . The market is full of providers promising automation, faster translation and AI-powered workflows. Platforms claim higher productivity, lower costs and seamless multilingual operations. Beneath these claims, however, localization systems can vary dramatically in how they manage AI models, protect enterprise data, scale across content systems and maintain linguistic quality. . Two prospective partners may appear similar in a proposal or product demonstration while operating on entirely different technological foundations. One may rely largely on generic machine translation models with limited governance or transparency. Another may combine advanced AI architectures with structured human oversight, enterprise-grade infrastructure and strong security controls. . For procurement leaders responsible for selecting these partners, the difference is critical. . Choosing a localization partner now requires evaluating how well a provider can support enterprise-scale multilingual communication systems, not simply deliver translation services. . Without a structured framework for comparing vendors across security, AI capability, scalability, cultural expertise and partnership governance, procurement teams risk selecting partners based on marketing claims rather than measurable operational capability. . 2026-05-06T10:27:47.104Z Blog https://www.rws.com/blog/how-ai-is-reshaping-translation-budgets-and-what-procurement-should-do-next/ Discover how procurement teams shift their budget mindset from buying a single-service translation to deploying a Human + AI approach. When procurement leaders present localization budgets to their CFOs, the first question may no longer be about translation costs. . Instead, it will be about return on investment. . AI is transforming how organizations produce and manage multilingual content – and with it, how localization is perceived. What was once treated as a costly operational task is now becoming a strategic capability that supports global growth. . Machine translation systems, large language models (LLMs) and automated workflows are dramatically increasing the volume of content that can be localized across markets. Procurement teams must now source localization solutions capable of supporting enterprise-wide content operations – not just the needs of a single department. . And yet many organizations are still budgeting localization using pricing frameworks designed for a different era. . When translation was primarily a human service, cost per word or per project was a reasonable proxy for value. In an AI-driven environment spanning an organization’s entire content ecosystem, that metric tells only a small part of the story. . The real financial question is no longer how cheaply words can be translated, but how efficiently organizations can produce and manage high-quality multilingual content at scale. . Answering that question requires procurement leaders to rethink how localization budgets are structured, measured and justified. . 2026-05-06T10:27:02.18Z Blog https://www.rws.com/blog/why-procurement-must-lead-partner-selection/ Learn how procurement teams master AI localization governance by leading their organization’s partner selection for translation services. AI tools are being adopted across enterprises faster than governance frameworks can keep up. Nowhere is this more visible than in localization, where new AI systems are often integrated into content workflows before procurement teams have evaluated the risks. . Consider a common scenario: . A marketing team selects an AI platform and integrates it into the content workflow. Six months later, procurement discovers the system has been processing enterprise data through a public large language model with no data residency agreement in place. . Instances like this are becoming increasingly common as organizations experiment with AI tools faster than governance frameworks can keep up. . Teams experiment with new tools, integrate them into workflows and scale usage before procurement has an opportunity to evaluate vendor risk. . When localization technologies are involved, the consequences can be significant. These systems often process large volumes of sensitive corporate content – product documentation, legal materials and customer communications – across multiple jurisdictions. . Without clear governance structures, organizations expose themselves to operational, legal and regulatory risks that procurement teams are expected to manage. . The solution is straightforward: procurement must lead the AI localization partner selection process to ensure governance procedures are followed across the business.. 2026-05-06T10:26:33.959Z Blog https://www.rws.com/blog/why-you-need-an-ai-localization-partner/ Discover how procurement teams can achieve enterprise-level content translation with the help of an AI localization partner. Employing an AI localization partner to scale enterprise content is a different ball game compared to how businesses interacted with translation vendors a decade ago. . Before artificial intelligence became a mainstay in organizations, a procurement team would simply treat localization providers as vendors.. The model was straightforward but limited. A business unit requested translations, procurement sourced a supplier and the vendor delivered content according to a predefined brief. Price per word, turnaround time and language coverage defined the evaluation criteria. . And that was how the model worked when localization was primarily a service. But AI has changed the game. Modern localization platforms combine large language models (LLMs), neural machine translation (NMT), workflow automation and human expertise to produce multilingual content at enterprise scale. . These systems have broken from tradition and now act as partners, not vendors. They ingest corporate data, interact with knowledge bases, aid strategy decisions within organizations, and generate communications across global markets. . Localization is no longer a simple outsourced service. It is part of the enterprise’s communication infrastructure. . And it’s this shift that exposes a fundamental truth procurement leaders must confront: You no longer need a translation vendor. You need an AI localization partner.. 2026-05-06T10:26:03.994Z Blog https://www.rws.com/blog/the-2026-ai-localization-rfp-guide-what-procurement-should-evaluate/ Learn how procurement can evaluate and deliver AI localization partners and ask better, more effective request-for-proposal questions. For years, procurement teams evaluating localization vendors asked a familiar set of questions. . What is the cost per word? How many linguists are available? What are the turnaround times for translation? Those RFP questions made sense when localization was primarily a human translation service. Agencies and freelancers were effectively in control, setting the terms of translation projects. . But AI has changed the power balance and given procurement a far greater role in translation project management. . Modern localization platforms combine neural machine translation (NMT), large language models (LMMs), automation pipelines and human expertise to provide a focal translation service. . They ingest enterprise data, interact with knowledge systems and generate multilingual content at scale. Localization has become an AI infrastructure decision, not just a language services purchase – and this is why procurement’s role is more important than ever. . Yet many procurement teams are still running RFP processes designed for a different era. The result is predictable: vendors are evaluated using outdated criteria while the most important risks – model governance, data security and AI reliability – go largely unexamined. . That gap is becoming increasingly dangerous. . Research suggests 52% of organizations now prioritize AI expertise over price when selecting technology partners, while data privacy and handling rank close behind.. 2026-05-06T10:25:29.979Z Blog https://www.rws.com/blog/how-procurement-can-own-ai-localization-strategy-2026/ Discover why procurement teams are now at the forefront of AI localization strategies in 2026. Procurement is becoming one of the most important business governance functions in the AI economy. . As artificial intelligence reshapes how organizations create, translate and distribute global content, procurement is no longer just negotiating contracts. It is increasingly responsible for governing the technology, data and partnerships behind enterprise communication.. For years, localization decisions sat primarily with marketing and localization teams. Procurement stepped in after the strategy was already defined. . That model no longer holds. In 2026, procurement leaders who embrace this shift will move from buyers to architects of the enterprise AI ecosystem. . Those who do not risk becoming bypassed entirely.. 2026-05-06T10:25:09.091Z Blog https://www.rws.com/blog/pillars/localization-in-2026-ultimate-guide/ Explore the state of localization in 2026 – from strategy and operations to technology, governance and ROI. A comprehensive guide for global brands building content at scale. Global brands now operate across hundreds of markets, channels and formats. A single idea can become thousands of content assets – product pages, onboarding screens, videos, support flows, training modules and legal disclosures – each one expected to make sense locally. Localization is the discipline that makes this possible for global businesses operating in multiple countries and local markets. . . At its core, localization is the process of adapting content, products and experiences so they feel natural and intuitive in every market – a localization process that becomes increasingly important as brands expand across different target markets and segments. But at enterprise scale, it has evolved into something broader. Localization isn’t only about language. It’s about intent, usability and cultural relevance. It shapes how people understand your brand, how they move through your digital experiences and how confidently they engage with what you offer in different languages, cultures and regions. . . This shift reflects how global brands now operate within a broader global business structure where a unified localization strategy supports every stage of content creation. Marketing teams build regional campaigns with shared assets. Product teams release updates across multiple languages at once. Support teams rely on consistent terminology across every channel. Compliance teams must ensure accuracy in every jurisdiction. Localization sits across all of this – connecting people, processes and platforms so content holds together everywhere. . . Done well, localization strengthens brand trust and accelerates execution. It ensures customers can navigate your website, understand your product and make informed decisions without feeling like they’re reading an adaptation. It reduces friction as you scale into new regions, shortens release cycles and protects consistency as teams grow and as you introduce new products into international markets. . . This is why localization matters today. It’s no longer a final step in the content process or something managed quietly in the background. It has become a strategic capability – one that shapes the global customer experience and supports sustainable growth. As organizations enter 2026 with more channels, more markets and more automation, localization provides the clarity, structure and intelligence needed to move confidently at global scale through stronger localization management, early planning and more integrated workflows that support both translation and localization for every target audience. . 2026-04-30T23:01:14.013Z Blog https://www.rws.com/blog/machine-translation-software-enterprise-buyers-guide-for-2026/ Choosing machine translation software in 2026? Explore how enterprises compare AI translation software for security, integration and long-term scalability | RWS Buying machine translation software used to be a quick decision. You’d compare a few engines, run a test set and choose the one that looked strongest on speed and raw output. That’s not how enterprise buying works in 2026. . Today, most organizations are looking for more than a standalone engine. They need translation software that fits into a wider content ecosystem – one that supports security, governance, automation, customization and high-volume multilingual delivery. . When assessing machine translation software, the focus isn’t just on translation quality. It’s about which platform helps you move faster, protect quality and stay in control as content volumes grow.. 2026-04-30T15:18:01.621Z Blog https://www.rws.com/blog/rws-and-cnfi-host-taipei-forum/ An overview of what you missed at this year's conference. On April 24, RWS partnered with the Chinese National Federation of Industries (CNFI) to host its first large-scale intellectual property (IP) event in Taipei.. . The forum “AI-Driven New Era of IP Management – Building a New Ecosystem for the Full IP Lifecycle” brought together nearly 200 professionals from IP and technology sectors. The event explored how artificial intelligence (AI) can support IP management across the full lifecycle, including invention, application strategy, portfolio management, maintenance, analytics and commercialization.. . CNFI’s Intellectual Property Committee has long supported the development of Taiwan’s IP environment, including the protection, management and commercialization of intellectual property. That work provided important context for a discussion on how AI and data can help IP teams manage growing complexity.. 2026-04-30T12:40:37.265Z Blog https://www.rws.com/blog/dotbrand-tlds-why-legal-teams-should-be-paying-attention-now/ Are you ready for the limited 2026 dotBrand TLD application window and the preparation it demands? Control, authenticity and trust are becoming more important in the management of digital identity. At the same time, the next opportunity to apply for a dotBrand top-level domain is limited, and the preparation required is significant.. If you're not familiar with a top-level domain, or TLD, it's the element to the right of the dot in a web address, such as .com, .fr, or .co.uk. A dotBrand TLD uses the brand itself in that position. That allows the organization to control the namespace and create domains such as login.brand, help.brand, or shop.brand.. 2026-04-24T12:01:34.804Z Blog https://www.rws.com/content-management/blog/collaboration-on-business-challenges-and-innovations-with-regulatory-documentation/ RWS hosted the Q Innovation Workshop in Basel, Switzerland, bringing together pharmaceutical industry leaders from around the world to collaborate on innovation and business challenges in the clinical and regulatory landscape On March 17, RWS hosted the Q Innovation Workshop in Basel, Switzerland, bringing together pharmaceutical industry leaders from around the world to collaborate on innovation and business challenges in the clinical and regulatory landscape. The interactive event provided a forum for in-depth discussions on structured content authoring, data management, AI automation, localization, and the future of regulatory documentation.. Participants explored a wide range of topics, including digital transformation, cloud infrastructure, patient-centric content, and evolving translation requirements in global organizations. The workshop also addressed how life sciences companies can better align structured content and data strategies to enhance operational efficiency and regulatory compliance.. Dan Herron from RWS started the workshop by discussing recent RWS research showing that 36% of executives see a danger of enterprise resources—that could be better deployed elsewhere—being diverted toward Gen AI. Execs in highly regulated industries worry about deploying resources to Gen AI without guardrails.. 2026-04-23T14:47:50.99Z Blog https://www.rws.com/content-management/blog/why-pharma-teams-are-drowning-in-submissions-and-what-to-do-about-it-part-two/ Define the key areas pharma organizations must assess to leverage technology optimally to transform regulatory content processes. Welcome to part two of this blog series. In the first part we’ve explored the current state of the pharma industry and how the regulatory submissions process has been impacted. We’ve looked at KPIs that sponsors and CROs can monitor to ensure regulatory submission success, and we’ve analyzed the current landscape, looking at the internal and external challenges organizations face when creating regulatory dossiers under tight deadlines.. Going forward, we will define the key areas organizations must assess to leverage technology optimally, transforming both regulatory content processes and the working lives of staff.. 2026-04-23T14:47:48.878Z Blog https://www.rws.com/content-management/blog/why-pharma-teams-are-drowning-in-submissions-and-what-to-do-about-it-part-one/ Pharma teams are overwhelmed by growing submission volumes, manual rework, disconnected content processes, uncertainty and the complexity of global regulations. Regulatory affairs (RA) teams are under pressure more than ever before. Faced with a growing demand for pharmaceuticals, cumulative legislative changes and an approaching steep patent cliff, sponsors are struggling to find new ways to modernize, innovate and deliver therapeutics to market faster. . The greatest challenge isn’t just the volume of work, but the unpredictable complexity of a global regulatory landscape. Unlike demographic shifts such as the doubling of the world’s population aged 60 and above by 2050, or the $350 billion worldwide revenue loss that the industry will support through 2030 due to loss of exclusivity (LoE), regulatory change is a moving target, influenced by public health policies, technological progress and political agenda.. 2026-04-23T14:47:48.51Z Blog https://www.rws.com/content-management/blog/standardize-and-harmonize-product-information-with-tridion-one/ Advancing the ePI (electronic Product Information) Initiative with Läkemedelsverket's Tridion One pilot In the ever-evolving landscape of pharmaceutical regulations and information management, the need to standardize and harmonize product information has become increasingly crucial. At the forefront of this movement is the Swedish Medical Products Agency, Läkemedelsverket, which has recently made significant strides with their ePI (electronic Product Information) Proof of Concept. In this post, we’re sharing the latest developments in this transformative initiative. 2026-04-23T14:47:48.274Z Blog https://www.rws.com/content-management/blog/national-pilot-study-for-pharma-companies-creating-ePI/ Update on national pilot study for pharmaceutical companies creating ePI In 2022, the Swedish Medical Products Agency (Swedish MPA) selected Fonto as the editor of choice for the creation of electronic structured SmPC’s. Over the past few months, the Swedish MPA has developed an XML template adapted for Fonto. 2026-04-23T14:47:47.875Z Blog https://www.rws.com/content-management/blog/val-swisher-content-rules/ Highly regulated industries such as finance and life sciences, should be the next target for structured content In December 2020 Forrester published a report that strongly confirmed our thoughts, and the developments we see in our market(s): The Future Of Documents: A Look Beyond The Paradigm Of Paper And Into Opportunities For Innovation – Forrester 2020. Based upon this report, we’ve interviewed thought leaders about the future of documents. In this article, Val Swisher (VS), CEO at Content Rules, shares her opinion.. The Forrester report points out that, although the tools for creating documents have become friendlier, the way workers and organizations think about documents really hasn’t changed since the introduction of personal computers.. What does a real disruption of this way of thinking about documents look like to you?. VS: “A real disruption is a shift away from thinking about content in the form of “documents” and, instead, looking at content as small components of information. These small components can be pieced together to create a variety of outputs (including “documents”). In addition, the components are reusable – write once, use everywhere. This type of change is a real disruption because it is a fundamental shift in the way we conceptualize, develop, and use content.”. According to Forrester, document authoring is ready for its moment of disruption, though information worker habits have yet to change because:. Friction between cloud-native documents and file storage tools remains. The mental model of paper dominates the language of content management. Static file types clog up processes and require content fracking. Employee preferences are entrenched. What do you see as the biggest hurdles to changing the way workers and businesses work with documents?. VS: “As we say, “Technology is easy. People are hard.” The biggest hurdle is change management. As Forrester rightly points out, it is difficult to get people to make a fundamental shift in the way they do their jobs. Of course, the technology needs to be simple enough for people to adopt easily. But to date, we have not done a great job of training people how to write in a structured way for reuse and single-sourcing. We have not shown them how it works, how easy it can be, and the benefits they (as content creators) will gain from adopting a new way of doing things. We also have not made a strong enough case to management about the reasons to change the entire content ecosystem.”. Can you name any practical examples where the disruption is already taking place?. VS: “There are a number of verticals where we see the change to component-based authoring. Technology companies, particularly hardware vendors, were early adopters of structure. This makes sense because you can have 3 or 4 models of the same piece of equipment that can use the same base set of content, with a few additions or changes for the different models. Single-sourcing everything that is the same and having separate components for things that are different is a natural fit. Most of the networking hardware vendors switched to structured component-based authoring years ago. Since then, software, manufacturing and even finance have followed. One of the most exciting developments is seeing the shift towards structured authoring and single-sourcing in pharmaceutical content.”. "We need to do a better job of teaching authors about structure. We need to do a better job of teaching authors how to write for reuse. We need to train authors from the beginning on how to create content in this new way". Structured data will surround content. Documents that include structured data must become the norm when they’re the input for automated processes, such as invoice processing. Document creators must take an outside-in approach and deliver documents in formats fit for purpose.. How can we motivate authors to take this outside-in approach i.e. change their behaviour. What’s in it for them?. VS: “We need to do a better job of teaching authors about structure. We need to do a better job of teaching authors how to write for reuse. We need to train authors from the beginning on how to create content in this new way. Along with training, we need to clearly enunciate the author benefits of structured content: less content to write, better consistency, the ability to create more and different outputs, and more. We also need to emphasize the improvement in user experience, readability, and findability.”. It is expected that robots will share the writing credits with humans. AI authorship will affect document authoring in the near future.. What developments do you expect to see in this context, and what do you already see happening today?. VS: “At some point in the next few years natural language generation (NLG) will be a viable way of creating content. I expect NLGs to first author content that is mechanical in nature. For example, installation instructions, configuration instructions, things that are rote, predictable, and task-based. NLGs will also be able to create consistent reference information, recognizing where tables make sense, populating tables with accurate information, and so on. Today, we see NLGs create content like real estate listings (number of bedrooms, number of bathrooms, etc.), sports scores, and other mechanized content.”. "Technology is easy. People are hard.". In the future, documents will be more fluid, componentized, and structured to separate underlying information from its presentation. A strong metadata-first strategy must replace the folder as an organizing principle and become a foundation for automation and AI.. What is in your opinion the difference between ‘documents’ and ‘data’?. VS: “Documents are outputs of data. People create componentized content that acts more like data. The components (data) are output to collections of components. The output can be a ‘document’. The output can be a web page, a training course, or an app. There are many things you can output to when you treat the content in a componentized, data way. In addition, data can also come from outside repositories (databases / datastores). This type of data can be results from testing, or other collections of information that are not necessarily word-based.”. Which content platforms are already evolving in this direction?. VS: “There are a variety of platforms that are already moving in this direction. Many companies have adopted DITA/XML ecosystems that use a component content management system on the backend to store and manage content. DITA systems can output to a variety of content types. For example, online help systems, technical documentation, training modules, and knowledgebase articles can all be single-sourced from one set of components. The components are tagged, stored, versioned, and managed in the CCMS.”. Which industries are leading the way regarding the future of documents?. VS: “Technology has been leading the way in terms of the future of documents, as they pertain to DITA/XML. Hardware and then software companies were the early adopters. Now we see component-based structured authoring being used in manufacturing (particular when catalogs need to integrate content with product information management (PIM) systems). Highly regulated industries such as finance and life sciences, should be the next target for structured content.”. . . 2026-04-23T14:47:42.137Z Blog https://www.rws.com/content-management/blog/manuela-bernhardt-fme-we-see-the-increasing-need-and-urgency-to-find-structured-document-solutions-within-different-processes-of-our-life-sciences-clients/ We see the increasing need and urgency to find structured document solutions within different processes of our Life Sciences clients In December 2020 Forrester published a report that strongly confirmed our thoughts, and the developments we see in our market(s): The Future Of Documents: A Look Beyond The Paradigm Of Paper And Into Opportunities For Innovation – Forrester 2020. Based upon this report, we’ve interviewed thought leaders about the future of documents. In this article, Manuela Bernhardt (MB), Business Unit Director for Technology Services at fme USA LLC, shares her opinion.. The Forrester report points out that, although the tools for creating documents have become friendlier, the way workers and organizations think about documents really hasn’t changed since the introduction of personal computers.. What does a real disruption of this way of thinking about documents look like to you?. MB: “The real concept and value of documents is still misunderstood in many situations, and while the requirements have fundamentally changed a lot of scenarios, many companies have not realized this and continue to spend effort on ineffective and inefficient ways for content production, distribution, and use. A key consideration for the regulated industry is that companies or business units often do not have the autonomy to entirely reengineer their document approach, as regulatory agencies continue to have static requirements regarding form, content and structure of documents which are required for review and approval processes– some rethinking on higher level might be needed here to better support an industry-wide shift.”. According to Forrester, document authoring is ready for its moment of disruption, though information worker habits have yet to change because: Friction between cloud-native documents and file storage tools remains. The mental model of paper dominates the language of content management. Static file types clog up processes and require content fracking. Employee preferences are entrenched.. What do you see as the biggest hurdles to changing the way workers and businesses work with documents?. MB: “We certainly see the recently introduced tools supporting the adoption process. To reach a “tipping point” of adoption, Authors will need to see and experience the ease-of-use and productivity value before being ready to change their processes. Once applications are ready to demonstrate that, and be adopted for specific use cases, the path forward will have some additional clarity and authors will be receptive to change. Another key hurdle as highlighted earlier, is the regulated nature of the Life Sciences industry with its surrounding compliance and regulation requirements; enabling change will require cooperation by regulatory bodies to fully enable business-level process shifts.”. Can you name any practical examples where the disruption is already taking place?. MB: “The product-labeling use case has seen some consideration at our Life Sciences clients, they already have been using early versions of Structured Content authoring for the management of package inserts and prescribing information. This allows them to take advantage of reusable sections and to be able to quickly adapt to changes demanded by regulatory agencies across global markets.”. "The real concept and value of documents is still misunderstood in many situations, and while the requirements have fundamentally changed, many companies have not realized this and continue to spend effort on ineffective and inefficient ways for content production, distribution, and use structured data will surround content.". Documents that include structured data must become the norm when they’re the input for automated processes, such as invoice processing. Document creators must take an outside-in approach and deliver documents in formats fit for purpose.. How can we motivate authors to take this outside-in approach i.e. change their behavior. What’s in it for them?. MB: “Tools have to be designed in a way to propagate benefits of data-driven document authoring to the authors. Ease of use is a key factor, especially the effort of pulling all necessary data together, which has to be minimized and not become an obstacle to overcome for the authors. Integrations to pull data and combine information from multiple data sources can be a key factor there – this can be an area where AI can support by identifying and extracting the necessary information from any relevant sources. Based on the available data, benefits for authors should include easy searching, filtering, dynamically navigating and reporting for the authored documents. Besides the capabilities of the technology, there is also the impact of on-going platform enhancements and release schedules to consider. Before a process is embraced, it is imperative to have a supporting change management process in place to enable users to continue working at pace, given the potential for recurring system change.”. It is expected that robots will share the writing credits with humans. AI authorship will affect document authoring in the near future.. What developments do you expect to see in this context, and what do you already see happening today?. MB: “Typical areas in which AI can take the lead in authorship can for example be weather or traffic statements that are purely wrapping data bits into more readable formats for consumers. Looking at Life Sciences processes as our core business areas, direct AI authorship is less of a topic from what we have seen with our clients. Areas where AI comes into play though can be the deconstructing and constructing of content pieces to and from components based on defined rule sets in the systems.”. "We see the increasing need and urgency to find structured document solutions within different processes of our Life Sciences clients.". In the future, documents will be more fluid, componentized, and structured to separate underlying information from its presentation. A strong metadata-first strategy must replace the folder as an organizing principle and become a foundation for automation and AI.. What is in your opinion the difference between ‘documents’ and ‘data’?. MB: “Data is the heart of the business, whereas documents are the “packaging” with the intent to create the context of the data in the associated processes and therefore to increase the value by adding meaning to the core data. Depending on the business context, this might be of more or less importance – whereas invoicing processes are for example “all about numbers”, other processes as for example in Clinical studies might require more of an interpretation to be presented alongside the core data. The challenge being to keep metadata at minimum, and not to over complicate – overall, the data has to stay maintainable.”. Which content platforms are already evolving in this direction?. MB: “As provider of business and technology services supporting the deployment of business applications to clients in the Life Sciences Industry – specifically in the Regulatory, Clinical and Quality area – we are in close touch with Content Management and Business Application platforms such as Veeva Vault, OpenText Documentum, Generis CARA. What we can see is that these platforms are providing great value in managing data or documents, but in many cases, they are not designed in a way to support data-first structured document authoring. These functionalities need to be brought in facilitated by integrating with specialty applications and tools that are designed for these use cases. The goal has to be to make this integration as seamless as possible for the end users which is a key area of focus for us and our clients.”. Which industries are leading the way regarding the future of documents?. MB: “We see the increasing need and urgency to find structured document solutions within different processes of our Life Sciences clients – whether in Medical Writing, in the creation of CTD Module 3 and Module 5 documents, or in the management of localized Labeling documents. These industries have not been the drivers in the past, but due to the increasing importance in working as effectively and efficiently as possible to stay competitive in the market we expect them to be drivers and leaders moving forward.”. . . 2026-04-23T14:47:42.011Z Blog https://www.rws.com/content-management/blog/structured-content-for-pharma/ Structured content for pharma It takes pharma companies about five times longer to create content, compared to other industries. Delayed drug approvals turn into an average loss of $1 million dollars per day for pharma companies. Val Swisher and Regina Lynn Preciado from Content Rules recently published an interesting e-book: “Structured Content for Pharma – Making the Case for XML.” This e-book gives a lot of context on the importance of structured content in the pharma industry, which contributes to both a faster time to market and better safety compliance. 2026-04-23T14:47:41.996Z Blog https://www.rws.com/content-management/blog/swedish-medical-products-agency-selects-fonto/ Fonto has been selected as the XML editor of choice by the Swedish Medical Products Agency (Swedish MPA) for a national pilot study for pharmaceutical companies creating ePI. Hurra! Fonto has been selected as the XML editor of choice by the Swedish Medical Products Agency (Swedish MPA) for a national pilot study for pharmaceutical companies creating ePI. 2026-04-23T14:47:41.98Z Blog https://www.rws.com/content-management/blog/accelerating-time-to-market-with-structured-content/ Accelerating time-to-market with structured content: a new approach for global pharmaceutical companies The evolving landscape of global pharmaceuticals presents a significant challenge: how to accelerate the time-to-market while maintaining regulatory compliance and content consistency across regions. Adopting structured content solutions offer a transformative approach, enabling companies to manage information more effectively and facilitate faster submissions to regulatory agencies such as the EMA and FDA. At BioTechX in Basel, Chip Gettinger presented how structured content is reshaping pharmaceutical companies’ operations. 2026-04-21T13:08:34.163Z Blog https://www.rws.com/content-management/blog/how-to-accelerate-pharma-regulatory-success/ How to create faster regulatory submissions with prepopulated templates and structured content Pharma organizations can spend as much as $4.54B to bring a single molecule to market. The costs are only rising, while regulations are becoming more complex. This pressures organizations to manage extensive portfolios and afferent regulatory dossiers with fewer resources.. When regulatory submissions take too long or are not accepted, organizations incur significant costs, from direct and tangible ones like financial costs of rework and resubmission, delayed market entry and lost revenue, increased operational costs, to more indirect costs incurred by placing the company at a competitive disadvantage, opportunity costs or, in more dramatic cases, reputation loss as a result of non-compliance and legal penalties.. 2026-04-21T13:05:30.235Z Blog https://www.rws.com/blog/rws-at-canva-create-2026/ What to expect at this year's event. You can learn a lot about where creative work is heading by watching how people actually use the tools in front of them.. . That’s what makes Canva Create interesting.. . This year, RWS is proud to be part of that conversation as Canva’s Creative Localization Partner.. . It’s a role that reflects how far the relationship between design and localization has come. Because today, creating something beautiful isn’t enough. It has to work everywhere – across languages, cultures and contexts – from the very first idea.. . That’s exactly the challenge we’ve been working on with Canva.. . 2026-04-14T11:43:55.268Z Blog https://www.rws.com/blog/youtube-multi-language-audio-guide/ Learn how to use YouTube’s multi-language audio (MLA) feature to grow your channel. Our guide explains how to boost monetization and reach new audiences. For any YouTube creator with global ambitions, expanding your audience has always involved a complex strategic trade-off. Reaching new international viewers meant navigating a logistical headache of content management. . . Until recently, you had three main options: create separate channels for each language, splitting your audience and administrative efforts; use a single channel with clumsy, language-based playlists that hinder discoverability; or simply stick to one language and hope subtitles would suffice. . . That all changed when YouTube introduced multi-language audio (MLA) tracks. . . Now, creators can upload multiple dubbed audio tracks to a single video. A viewer in Brazil can automatically hear your content in Portuguese while a viewer in France hears it in French – all from the same video URL. This feature promises a streamlined path to a global audience, but does it make language-specific channels obsolete? . . Understanding when, why and how to use this powerful tool is key to any successful global YouTube strategy. . . . 2026-04-14T09:42:06.534Z Blog https://www.rws.com/blog/will-ai-replace-voice-actors/ Will AI replace voice actors? Explore the debate and see how AI technology is amplifying human creativity, not replacing it, in the world of dubbing. In short – no. And it shouldn’t. . . While the fear isn’t entirely unfounded – AI continues to reshape the dubbing industry in ways that were once hard to imagine – it’s unlikely that human voice actors will ever be fully replaced. The technology is getting astonishingly good, and yes, that’s shaking up the industry. But as with so many creative professions, the future isn’t about humans versus AI. It’s about humans and AI, working together. . . . . 2026-04-14T09:39:10.916Z Blog https://www.rws.com/blog/what-is-voice-cloning/ What is voice cloning? Our guide explains the AI technology, its use cases and the critical ethical questions around consent, deepfakes and trust. If you’ve ever heard a voice in a video and thought, “Wait… that sounds exactly like them – but they definitely didn’t record this,” you’ve met voice cloning. . . It’s one of the more fascinating and sometimes controversial branches of generative AI. The same family of technology that can write articles, create ‘art’ or generate deepfake videos can now also replicate the sound of a specific human voice – pitch, tone, accent, quirks and all. . . Done well, it’s uncanny. And it’s opening new possibilities in content creation, localization and accessibility. But it also raises big questions about ethics, consent and trust. . . Let’s explore what it is, how it works, where it’s used and when it might not be the best fit for your needs. . . . . . 2026-04-14T09:33:08.312Z Blog https://www.rws.com/blog/what-is-video-localization/ Learn what video localization is and how to build a strategy that works. Explore methods from subtitling to dubbing and get best practices for success. The way the world shares content has changed. Borders matter less than ever, but language and culture matter more. If you want your videos to break through globally, they have to feel local – not just translated. . . The numbers make the case. 76% of surveyed internet shoppers prefer purchasing products with information in their own language. With three-quarters of the world’s population not speaking English, it’s no surprise that the most successful global companies – from streaming platforms to software giants – have made localization a core part of their growth strategy. . . But what does it really mean to “localize” a video? Is it just a case of translating a script word-for-word? Far from it. . . Localization is the process of making your content relevant – emotionally, culturally and linguistically – to a local audience. It’s a blend of language expertise, creative adaptation and cultural insight. And when it comes to video, those layers have to come together seamlessly, so your audience feels like your content was made just for them. . . At RWS, we see video localization not as a checkbox in a content plan, but as a strategic gateway to new audiences. Done right, it can help you connect, convert and build loyalty in ways that go far beyond simple translation. . . . In this guide, we’ll look at how to create a video localization strategy, explore the different methods and share best practices for choosing the right approach – so your content doesn’t just reach new markets, it belongs. . . . . . 2026-04-14T09:29:57.109Z Blog https://www.rws.com/blog/what-is-ai-dubbing/ What is AI dubbing? Learn how AI technology automates video localization, offering a fast, scalable and high-quality alternative to traditional dubbing. You’ve poured time, energy and resources into crafting compelling video content. But what if your most powerful stories are only reaching a fraction of their potential audience? For too long the answer has been trapped by the logistical and financial barriers of traditional dubbing, leaving valuable content locked out of new markets. . . At RWS, we believe that every brand story deserves a global stage. This is the promise of AI dubbing – a revolutionary approach that is transforming how businesses create, adapt and distribute video content worldwide. By blending cutting-edge artificial intelligence with indispensable human expertise, we're not just translating words; we're unlocking new markets and making meaningful global connections at a pace and scale previously unimaginable. . . In this guide, we’ll dive into what AI dubbing is, how it works and how it’s changing the game for content creators and global brands alike. We'll explore the strategic and creative opportunities it unlocks, moving beyond the traditional challenges to a future where no content is left behind. . . . . . 2026-04-14T09:16:18.591Z Blog https://www.rws.com/blog/what-are-ai-voices/ Learn what AI voices are and how they're created. Our guide explains how high-quality data and human expertise combine to produce natural-sounding audio. The human voice is your brand’s ultimate tool for connection. It can explain complex ideas with clarity, build trust through a reassuring tone, and create excitement in a way that text on a screen simply can't. But how do you scale that power across dozens of markets and languages without losing the very human quality that makes it so effective?. This is the challenge that AI voices are built to solve.. You may know them as synthetic voices or text-to-speech, but the technology has evolved far beyond its robotic-sounding origins. Today’s advanced AI voices are sophisticated systems, trained on vast amounts of human speech to generate audio that is rich, emotive, and remarkably human-like.. As the demand for video and audio content continues to explode, organizations are looking for scalable and efficient ways to engage global audiences. The applications are everywhere – from powering virtual assistants and voicing video game characters to localizing corporate training and dubbing blockbuster content.. However, a critical distinction must be made. The market is flooded with off-the-shelf AI tools that promise instant results, but often lack the quality, security and ethical oversight that professional use cases demand. The most advanced, lifelike voices are the product of a meticulous and responsible process, one that strategically combines the power of AI with the irreplaceable nuance of human expertise.. Let's explore how these powerful voices are created.. 2026-04-14T09:11:53.8Z Blog https://www.rws.com/blog/types-of-dubbing-explained/ Explore the different types of dubbing. Our guide explains lip-sync, voiceover and narration to help you find the best style for your audience and budget. You’ve got a great message. The kind that can cross borders, spark conversations and stick in people’s minds long after the meeting ends or the credits roll.. But here’s the challenge – when your audience doesn’t speak the language, how do you make sure they still feel every beat, every joke, every twist?. From the cinematic polish of lip-sync to the quick-fire efficiency of voiceover and the cultural familiarity of narration, each approach does a different job. So, let’s break them down, side-by-side, so you can pick the dubbing style that works for your story – and your audience.. 2026-04-14T09:07:53.742Z Blog https://www.rws.com/blog/ai-dubbing-for-business/ Discover how AI dubbing transforms corporate content. Localize training, sales and internal comms to unlock new value and ensure your message connects. In the first two parts of our series, we explored how AI dubbing is transforming video localization for streaming platforms and reinventing the global playbook for YouTube creators. The story is clear: audiences prefer content in their own language, and AI dubbing is the strategic key to unlocking unprecedented views, watch time and revenue streams.. But what if your content isn’t a blockbuster film or a viral video? What if it's an internal safety briefing, an eLearning module on new company policies or a product demonstration video for an international sales team? For too long, this vital content has been left behind, trapped by the logistical and financial barriers of traditional dubbing. Its reach was limited not by its value but by its language.. The promise of AI dubbing extends far beyond entertainment and into the very heartbeat of global business. It’s a revolutionary approach that transforms how organizations educate their employees, communicate with stakeholders and sell their products. By blending cutting-edge artificial intelligence with indispensable human expertise, we're able to democratize global understanding – and ensure every message connects with every person, everywhere.. This is a guide for the corporate world: from L&D and corporate communications to marketing teams. We’ll explore how AI dubbing is rewriting the rules for internal communications, training and commercial content, what the data-driven results look like, and how a strategic partner can help you turn your valuable content into truly global communication.. 2026-04-14T09:04:58.994Z Blog https://www.rws.com/blog/ai-dubbing-for-youtube/ See how brands are using AI dubbing for YouTube to reach new international audiences. Learn how to increase your views, boost engagement and grow your channel. You’ve built a community, mastered your niche and poured your passion into every video. But what if your voice – your message – could reach an audience exponentially larger than you ever imagined? For far too long, the cost and complexity of traditional dubbing have forced creators to choose: either stick to one language or face a mountain of production work.. At RWS, we believe that your content should have a voice in every corner of the world. This is the promise of AI dubbing, a revolutionary approach that’s transforming YouTube into a truly global stage for your brand. Our data from content dubbed on the platform shows that it can generate 28x more views than subtitled versions, with a 60% increase in average view duration. With numbers like these, isn't it time your brand claimed its global voice?. In this guide, we'll dive into how AI dubbing unlocks YouTube’s multi-language audio feature, what the results look like and how it’s changing the game for creators and brands. We'll explore a new future where your content can transcend language barriers, turning your channel into a global powerhouse where no viewer is left behind.. 2026-04-14T09:00:42.374Z Blog https://www.rws.com/blog/ai-dubbing-for-streaming/ Learn how AI dubbing helps streaming platforms unlock new revenue. Localize your back catalog at scale to increase watch time and reach global audiences. The global streaming wars have a new, secret weapon. Its goal is to make entire content catalogs accessible – and captivating – in every language. For content distributors, media companies and streaming platforms, the pressure to deliver a consistent stream of new hits is immense. The traditional approach to dubbing has long been a logistical and financial bottleneck, making it nearly impossible to scale global content at the pace the market demands. But what if there was a way to break free from these constraints, monetizing content that was previously too time- and cost-prohibitive to take global?. This is the promise of AI dubbing, a revolutionary approach that is transforming the streaming landscape, making it possible to create global hits and unlock new revenue streams. At RWS, we believe stories, culture and entertainment deserve a global stage. By blending cutting-edge artificial intelligence with indispensable human expertise, we're unlocking new markets – and making meaningful global connections at a pace and scale previously unimaginable.. In this guide, we'll explore how AI dubbing is rewriting the rules for streaming distribution, what the data-driven results look like and how a strategic partner can help you turn your content catalog into a global powerhouse, leaving no content behind.. 2026-04-14T08:56:38.595Z Blog https://www.rws.com/blog/seven-localization-challenges-holding-back-enterprise-programs/ Explore seven localization challenges facing global enterprises – from governance and data silos to AI integration and quality control – and learn how language leaders solve them at scale. 2026-04-13T16:00:18.81Z Blog https://www.rws.com/blog/what-a-modern-localization-platform-really-does/ Discover what a modern localization platform really does. Learn how it unifies systems, workflows and AI to support scalable global content operations. A decade ago, most organizations pictured localization as a linear localization process: content in, translation out. A few localization tools supported that workflow, but they lived in isolation. Files moved between systems through copy pasting, email attachments and manual uploads, with little visibility and even less control. . Today’s environment is far more connected. Content flows from CMS platforms, code repositories, design tools and authoring environments, often continuously. Managing this complexity requires more than a single localization tool. It requires a localization platform designed to orchestrate workflows, automation and quality across systems. . A modern localization platform is not a static portal or a single application. It is a connected ecosystem that brings together localization software, integrations, workflow automation, linguistic assets, quality signals and AI powered decisioning. It provides the operational layer global teams rely on when content moves constantly and sacrificing quality is not an option.. 2026-04-13T15:56:30.133Z Blog https://www.rws.com/blog/how-to-choose-a-true-localization-partner/ Discover how to choose a true localization partner for your global brand. Use this strategic checklist to evaluate quality, cultural insight, governance, technology and scalability. 2026-04-13T15:51:21.503Z Blog https://www.rws.com/blog/seven-pillars-of-a-successful-enterprise-localization-strategy/ Discover how to create an enterprise localization strategy that scales with your business – improving efficiency, quality and customer experience across markets. 2026-04-13T15:45:59.859Z Blog https://www.rws.com/blog/how-to-measure-localization-roi-in-enterprise-programs/ Learn how leading enterprises measure localization ROI – connecting language operations to real business outcomes that drive growth and customer impact. 2026-04-13T15:41:43.263Z Blog https://www.rws.com/blog/website-localization-services-a-strategic-guide-for-global-brands/ See how website localization services support global brands in delivering consistent, culturally relevant website experiences at scale. 2026-04-13T15:33:32.546Z Blog https://www.rws.com/blog/making-global-experiences-inclusive-the-role-of-localization-in-shaping-accessibility-content/ Explore how localization shapes accessibility content – helping global brands create inclusive, culturally relevant and compliant digital experiences for every market. 2026-04-13T15:27:01.148Z Blog https://www.rws.com/blog/localization-vs-translation/ Understand the difference between localization and translation – and why it matters for global growth, brand consistency and customer connection. Learn when to invest in each approach. 2026-04-13T15:20:36.118Z Blog https://www.rws.com/blog/what-is-localization-in-2026/ Discover what localization really means for today’s global enterprises – and why it’s now a strategic capability that drives speed, trust and growth across markets. 2026-04-13T15:14:01.285Z Blog https://www.rws.com/content-management/blog/Tridion-One-in-Washington-2025/ Tridion One team at DIA Annual Global Meeting in Washington showcasing AI-enabled structured content authoring for regulatory documentation in pharma I have been working on projects related to data standards and interoperability, content reuse and automation for several years now, but this was the first time I navigated DIA (Drug Information Association) through that specific lens. It’s an interesting time to have that focus.. . Here are a few of my observations about the meeting and about a couple of trends in the industry. . 2026-04-13T13:48:22.219Z Blog https://www.rws.com/content-management/blog/content-reuse-pharma-strategic-focus/ See what the top challenges are in delivering high-quality pharma regulatory files and how automated content reuse is the answer to your regulatory delays. 2026-04-13T13:28:43.885Z Blog https://www.rws.com/blog/localization-analytics/ Learn how localization analytics improve quality, predictability and performance. Discover the insights that help global teams optimize workflows at scale. Localization used to be judged mainly on outcomes: Was everything delivered on time? Were there any major issues? Did the content feel right in market? Those questions still matter, but they are no longer enough. When localization teams handle continuous releases, AI-assisted workflows and complex ecosystems of tools, they need visibility into what is happening inside the process, not just at the end.. That is where localization analytics change the picture. They turn a busy, opaque operation into something teams can monitor, measure and improve. Instead of relying on intuition or fragmented reports, teams gain a connected view of workflows, quality signals and performance drivers across localization projects.. Used well, analytics do three things at once: they raise quality, make delivery more predictable and give decision makers the evidence they need to plan, prioritize and invest with confidence.. 2026-04-09T16:08:47.86Z Blog https://www.rws.com/blog/how-global-teams-improve-quality-at-scale/ See how localization QA technology improves quality at scale. Learn how automated checks, workflows and human expertise work together in modern localization. Quality has always been central to localization, but the way organizations achieve it has changed. As content volumes rise, timelines shrink and AI accelerates early translation steps, teams can no longer rely solely on a final review stage to catch issues. They need quality built into the localization process itself. That requires technology that can identify problems early, support human judgment and apply consistent standards across multiple languages and markets.. Localization quality assurance technology does exactly that. It combines quality assurance rules, automated checks, linguistic intelligence, workflow logic and data signals to create a more predictable, proactive approach to quality. Instead of treating QA as an end checkpoint, modern teams embed it throughout the lifecycle of localized content, correcting issues before they ripple downstream.. This article explores how localization QA technology works today, where it delivers the most value and why it has become essential for global organizations operating at scale.. 2026-04-09T15:56:53.656Z Blog https://www.rws.com/blog/translation-memory-in-modern-localization/ Explore how translation memory supports modern localization. Learn how reuse, context and AI work together to improve quality, consistency and efficiency at scale. Translation memory (TM) has been part of the translation industry for decades, but the environment around it has changed dramatically. Content moves faster, releases happen more frequently and machine translation and artificial intelligence now shape how the translation process begins, accelerates and is reviewed. In this landscape, translation memory is no longer a static archive of previous translations. It has become a dynamic system that strengthens maintaining consistency, reduces effort and anchors quality across workflows that span tools, teams and multiple projects. . Despite the rise of MT and new AI models, TM has not lost relevance. It has gained it. Translation memory systems provide the continuity that modern localization depends on – trusted phrasing, validated terminology and contextual understanding that allow organizations to deliver high quality translations across multiple languages and channels. . It helps human translators, reviewers and automation align around reliable content rather than reinventing language with every release.. 2026-04-09T15:34:22.112Z Blog https://www.rws.com/blog/terminology-management-in-localization/ Learn how terminology management improves consistency, accuracy and brand trust. See how termbases and workflows support high-quality multilingual content at scale. Every organization has words that matter. Product names, feature descriptions, legal phrasing, marketing slogans and technical concepts all carry meaning and shape how a brand is perceived across international markets. Yet many teams underestimate how quickly existing terminology drifts when content is translated at scale. A single term can appear differently across documents, products or regions, creating confusion for users and inconsistency for the business.. Terminology management prevents this drift. It provides a structured, governed way of defining, approving and maintaining key terms so that everyone involved in localized content creation – writers, translators, reviewers, subject matter experts and even MT engines – uses the same approved vocabulary. In fast-moving global environments, terminology management becomes a strategic foundation for quality, brand consistency and trust.. 2026-04-09T15:14:25.995Z Blog https://www.rws.com/blog/workflow-automation-for-localization/ Learn how workflow automation improves speed, quality and scale in localization. See which tasks to automate first and how to build a smarter process. Localization teams are under more pressure than ever. Content volumes keep rising, product releases move faster and customer expectations for consistent, high-quality experiences continue to grow. Yet many organizations still rely on manual processes made up of handoffs, email updates, file exports and repeated checks that introduce delay and human error. . Workflow automation has become essential because localization can no longer operate as a reactive series of manual tasks. It needs to function as a coordinated system. Automation is what makes that possible. It removes friction from business processes, reduces operational risk and frees people to focus on work that genuinely requires expertise and judgment. . But automation is most effective when it’s applied deliberately, not universally. Understanding where workflow automation optimizes processes – and where it doesn’t – is key to building a modern, scalable localization operation. . 2026-04-09T15:01:22.912Z Blog https://www.rws.com/blog/content-connectors-transform-localization-workflows/ Learn how content connectors eliminate manual steps, reduce errors and speed up localization. See how integrations and APIs help global teams keep content flowing across systems. Let RWS guide your connector strategy. For global organizations, content no longer lives in one place. It’s created, edited, stored and published across a growing blend of content systems – CMSs, marketing platforms, design tools, code repositories, product databases and AI-driven authoring environments. Every team seems to adopt a new tool each year. Every system adds another point of friction. And every new publishing channel increases the pressure to deliver localized content faster and with fewer errors.. In this landscape, content connectors have become essential. They are the quiet infrastructure that keeps global content moving. Without them, localization becomes a maze of exports, uploads, version mismatches and manual clean-up. With them, content flows seamlessly between systems, automatically entering the localization process and returning to the business without disruption.. This shift has changed not only how localization teams work, but how organizations think about localization technology itself. The rise of content connectors has pushed the translation management system into a new role: the orchestrator at the center of a far larger ecosystem.. 2026-04-09T08:57:33.924Z Blog https://www.rws.com/blog/what-is-a-translation-management-system/ Discover how a modern translation management system works and why it has evolved into a strategic platform for global content. Learn how TMS technology supports scale, automation and intelligent workflows. A translation management system once had a simple job: move text from A to B, attach the right people to the right steps, and deliver a translated file at the end. It was useful, predictable and mostly invisible. But the world around it changed. Content diversified. Teams expanded. Systems multiplied. And the pace of business accelerated far beyond what those original workflows could support. . Today, a translation management system (TMS) operates in a completely different environment. It sits at the center of a global content engine that must move with speed, scale and accuracy. It connects content management systems, developer tools and marketing platforms. It supports machine translation and AI. It orchestrates quality assurance, governance and compliance. And it provides structure in a landscape where content is produced almost everywhere and delivered in multiple languages. . That evolution did not happen overnight. It came from real pressures inside global organizations and from the realization that localization technology has to do more than translate. It has to unify, streamline and protect. This is the story of how the translation management system grew into one of the most strategic platforms in the modern enterprise.. 2026-04-09T08:43:35.884Z Blog https://www.rws.com/blog/ai-dubbing-is-evolving-fast/ What does the future hold for AI dubbing? Let’s start with something basic that might surprise some people.. . AI dubbing is far from new. It’s been around for years.. . What’s changed is the speed of improvement, the visibility of the technology and the sheer volume of vendors now entering the market. That combination has created a familiar cycle – excitement, inflated expectations and, in some cases, confusion about what AI dubbing can actually deliver today.. . So rather than asking, “Is AI dubbing good?” I think the more useful question is: good for what?. . Because dubbing has always been a spectrum. That hasn’t changed just because the voice is generated by a model instead of performed in a studio. And if you’ve spent any time working in localization, you know that “quality” is one of the most subjective words in the industry.. . For some, quality means technical accuracy. For others, it means emotional authenticity. For others still, it’s about speed, coverage and commercial viability.. . The real conversation about AI dubbing sits somewhere in the middle of all that.. . 2026-04-08T13:27:04.958Z Blog https://www.rws.com/blog/behind-ai-hallucinations-when-model-errors-are-really-training-data-problems/ Many AI hallucinations stem from data design flaws, not models. Learn how better AI data labeling and QA improve reliability. “Hallucination” has become a catch-all explanation for almost any surprising model output. Wrong answer? Hallucination. Confident nonsense? Hallucination. Unexpected creativity? Same label.. . However, the term itself is contentious. In research and practitioner circles, "hallucination" is often used as shorthand for a range of behaviors – factual fabrication, unsupported inference or overconfident generalization – that have very different underlying causes. Some teams prefer terms like "confabulation" or "fabrication" to avoid anthropomorphic framing altogether.. . Regardless of terminology, one thing is clear: many outputs labeled as AI hallucinations are not spontaneous acts of model misbehavior. They are predictable responses to how tasks were defined, how data examples were labeled and what context the system was given or not given.. . When outputs look erratic, it’s tempting to blame the model. In reality, models are often doing exactly what they were trained to do: reflecting the structure, ambiguity and gaps present in their training data. In that sense, so-called model hallucinations function less like random failures and more like signals pointing back to upstream data design.. . This article focuses on a specific subset of these failures: systematic, repeatable error patterns that emerge in downstream tasks. The sections below examine common ways those patterns arise from data definition, data labeling practices and data annotation instruction design, not as the sole causes of hallucinations but as contributors that teams can actually observe, diagnose and improve.. . . 2026-04-02T14:55:37.044Z Blog https://www.rws.com/blog/patent-filing-strategy-is-getting-smarter-not-broader/ Patent filing strategy is getting smarter, not broader At the March 10–11, 2026 WIPR Summit in Chicago, Morris Wilder, Senior Business Development Director at RWS, took part in a discussion that touched on filing strategy across jurisdictions, and the topic reflects a much broader shift across the IP market as patent filing becomes more selective, more commercial and more dynamic than it was even a few years ago. . That shift is happening against a backdrop of continued global growth in patent activity. WIPO’s figures show that patent applications worldwide reached 3.7 million in 2024, up 4.9% year on year, while China’s office received 1.8 million applications, up 9%, and India, Japan and the Republic of Korea also recorded growth. . For IP leaders, that changes the question from “Where can we file?” to “Where will protection create real value?”. 2026-03-27T10:33:01.18Z Blog https://www.rws.com/content-management/blog/medical-device-scaling-regulated-documentation-without-scaling-risk/ Learn how a global medical device manufacturer brought multiproduct, multilingual documentation under control and at scale. What does it take to ship regulated documentation like a release-ready system, not a last-minute scramble. In this conversation with RWS Solutions Architect and Strategist, Dipo Ajose-Coker, a global medical device manufacturer shares how Tridion Docs helped them regain control across products, variants, manual types, and languages, with fewer fragile handoffs and less downstream rework. We also look ahead to what they want next, for example, tying product documentation into their enterprise AI initiative so future automation is grounded in governed, current content. 2026-03-25T19:08:14.14Z Blog https://www.rws.com/content-management/blog/think-like-a-business-leader/ Discover how tech comms leaders can rethink budgeting and build a business‑aligned case for long‑term CCMS and content operations investment. Your budget request to modernize your content stack got denied - again. Your tech comms team got sidelined in the latest product strategy call - again. And rarely do they consider your output a core part of the product offering. Your organization’s content debt is increasing, and there’s little support you get from the boardroom. You know this is a mistake. And it must change - but how can you achieve such a mighty goal? Here’s how.. . Over the past few years, conversations around content operations have shifted dramatically. Technical communication teams are under pressure to produce more content, at higher quality, for more markets, more products and more formats – all without proportional increases in tooling, budget or headcount.. 2026-03-25T19:07:26.401Z Blog https://www.rws.com/blog/introducing-language-weaver-pro/ Introducing Language Weaver Pro delivering fluent, context aware LLM for enterprises and government Global organizations are under pressure to move faster than ever, launching products in new markets, analyzing multilingual data, and communicating across borders in real time. But as content volumes grow, so do the risks, from security to capacity constraints and unprocessed multilingual data. . . Most AI translation tools force a compromise: speed or security. Scale or control. Innovation or compliance. Many AI translation tools today fall into either consumer-grade machine translation APIs or general-purpose LLMs repurposed for translation. Neither is designed for enterprise reality. . . Language Weaver Pro changes that. . . Language Weaver Pro removes the need to choose between speed, scale, and security enabling enterprises to act on global information with confidence. . . Built as the next evolution of the Language Weaver platform, Language Weaver Pro introduces a new standard for enterprise AI translation - combining cutting-edge large language model (LLM) capabilities with the security, control, and domain expertise global organizations demand. . . . 2026-03-25T09:21:12.119Z Blog https://www.rws.com/content-management/blog/horiba-playbook-audit-ready-documentation/ How a documentation team in a regulated industry stays audit-ready while keeping up with ever-changing rules What does it take to keep documentation compliant across 27 languages, more than 900 documents per year, and a regulatory landscape that is continuously tightening? In this conversation with RWS Solutions Architect and Strategist Dipo Ajose-Coker, Agnès Massonneau and Anne-Marie Criado from Horiba share how RWS Tridion Docs helped their team stay audit-ready, cut translation spend by 80%, and build a content foundation they believe is already prepared for the next wave of AI-assisted documentation. 2026-03-25T05:40:15.776Z Blog https://www.rws.com/blog/patent-invalidity-search/ Patent invalidity search explained – how legal teams use prior art to challenge patent rights, assess enforceability and reduce IP risk before litigation or licensing. Patents are meant to protect genuine innovation. In practice, not every granted patent meets that bar.. For IP lawyers and in-house legal teams, this tension shows up in very real ways – infringement allegations that arrive without warning, competitor’s patents that suddenly block commercial plans or portfolios that look strong on paper but fragile under scrutiny.. A patent invalidity search exists for these moments.. It is not defensive housekeeping. It is a strategic tool used to test whether a patent should have been granted at all. When done well, it brings clarity to high-stakes decisions long before costs, timelines and reputational risk spiral.. In today’s patent landscape – crowded, global and increasingly adversarial – invalidity searches are no longer a niche exercise. They are a core part of responsible IP risk management.. 2026-03-20T16:18:07.312Z Blog https://www.rws.com/blog/freedom-to-operate-search/ Freedom to operate search explained – how to identify patent infringement risk early, support smarter launch decisions and protect investment before commercialization. When a new product is approaching commercialization, legal teams often get a familiar question from stakeholders: “Are we clear to launch?”. A freedom to operate search is how you answer that question with more than intuition. It’s a structured way to understand whether a product or process can be made, used, sold, or imported in a specific market without triggering patent infringement risk from third-party intellectual property rights.. That sounds straightforward. In reality, it’s one of the most consequential forms of IP due diligence a company can perform.. Done early, a well-scoped FTO search protects investment, supports faster decision making and keeps options open for engineering teams. Done late, the same work can feel like a fire drill, where every outcome is expensive and every compromise is painful.. This is why more organizations rely on FTO as part of the innovation process itself, rather than treating it as a checkbox right before launch.. 2026-03-20T16:17:13.34Z Blog https://www.rws.com/blog/how-to-choose-the-right-patent-search-provider/ Learn how to choose the right patent search provider by evaluating expertise, methodology, data quality and reporting to reduce legal risk and support confident IP decisions. Choosing an intellectual property search partner is not a routine procurement decision. For legal teams, it’s a risk decision.. Patent searches support critical moments in the patent lifecycle. They inform whether an invention is patentable, how broadly claims can be drafted, and how exposed an organization may be to challenge or infringement. The reliability of those outcomes depends heavily on the patent search provider behind them.. Search quality can influence whether a patent is granted, challenged, licensed, enforced or abandoned. Missed prior art, weak search logic or poorly documented results can lead to litigation, wasted R&D investment or lost commercial opportunity. A patent search provider is responsible for investigating existing patents, published applications and non-patent literature to assess novelty and non-obviousness across growing volumes of global patent data.. Despite this, many legal teams struggle to differentiate between providers. On the surface, offerings look similar. Speed, coverage and technology are easy to promise. The real differences only emerge when you examine how searches are designed, validated and supported over time.. A comprehensive search is the foundation of any effective patent strategy in a competitive innovation environment.. 2026-03-20T16:10:12.527Z Blog https://www.rws.com/blog/why-a-patent-landscape-search-matters/ Why a patent landscape search matters early – understand technology trends, competitor intent and IP risk sooner to guide smarter filing and innovation decisions. Most IP teams know the familiar rhythm. An invention disclosure arrives, timelines tighten, and the conversation turns quickly to patentability and filing. That’s necessary work, but it’s also late in the story.. A patent landscape search helps you start earlier, when there’s still time to shape decisions rather than manage consequences. It gives legal teams a clear view of what’s happening in a technology area, where the market is moving, and how competitors are choosing to protect their positions. For in-house counsel and law firms advising innovation-driven corporations, that early clarity influences everything that follows, from drafting approach to long-term portfolio value.. This is why patent landscape work is no longer a “nice to have.” It’s a practical way to reduce risk, focus investment, and support innovation strategies that can hold up under scrutiny.. 2026-03-20T16:10:12.511Z Blog https://www.rws.com/blog/novelty-search-and-patentability-search/ How a novelty search and patentability search help IP lawyers assess prior art, reduce filing risk and make confident, well-scoped patent filing decisions early. When a new invention reaches your desk, the question sounds simple enough: is it patentable? . The reality is more nuanced. . Novelty and patentability searches bring legal analysis, technical insight and early risk evaluation together at a critical decision point. It’s where early decisions shape not only whether a patent application should be filed, but how it should be drafted, positioned and defended across jurisdictions. . For IP lawyers and in-house legal teams managing growing invention pipelines, understanding how these searches work – and what they are not – is critical. Done well, they reduce uncertainty, sharpen prosecution strategy and protect investment. Done poorly, they create blind spots that surface too late in the patent process. . This article unpacks how novelty and patentability searches function in practice, how they differ from broader landscape reviews, and how legal teams can use them to make clearer, more confident decisions.. 2026-03-20T16:08:35.135Z Blog https://www.rws.com/blog/patent-monitoring-strategic-advantage/ How patent monitoring gives IP teams a strategic advantage – track relevant filings early, reduce risk and turn competitor activity into actionable IP intelligence. Patent portfolios no longer sit quietly in the background. They move, evolve and signal intent. For IP lawyers and in-house legal teams, the challenge is no longer access to information but knowing which signals matter and when to act. . . That’s where patent monitoring has shifted from a defensive task to a strategic capability. When done well, it helps organizations protect innovation, reduce risk and stay ahead of competitors in fast-moving markets. When done poorly, it creates noise, drains resources and still leaves blind spots. . . The difference lies in approach. . . 2026-03-20T16:08:34.898Z Blog https://www.rws.com/blog/the-role-of-deep-prior-art-discovery/ Why deep prior art discovery matters in complex IP disputes – uncover critical prior art, strengthen invalidity arguments and reduce risk with defensible evidence. In high-stakes intellectual property disputes, prior art can decide everything. It can dismantle a patent that once looked unassailable. It can recalibrate litigation strategy before a case ever reaches court. And it can shift the balance of power in negotiations, turning uncertainty into leverage. . . Despite this, prior art discovery is still too often treated as a procedural necessity rather than a strategic discipline. Searches are scoped narrowly, when a thorough prior art search is required to avoid missing critical sources. Timeframes are compressed. And critical sources – especially non patent literature, foreign-language disclosures and older technical publications – may be left unexplored because they are difficult, unfamiliar or assumed to be out of scope. . . As innovation becomes more complex, more global and more interdisciplinary, this approach no longer holds. In today’s environment, the strength of an IP dispute increasingly depends on how deeply prior art has been explored, interpreted and validated. To identify prior art that could affect patentability, non-obviousness or claim scope, a prior art search must extend well beyond a cursory review of existing patents. . . This article examines why deep prior art discovery has become essential in complex IP disputes, what distinguishes it from traditional searching, and how it influences legal, commercial and strategic outcomes. . . 2026-03-20T16:08:34.662Z Blog https://www.rws.com/blog/ip-research-and-patent-monetization/ How IP research supports smarter patent monetization – identify high-value patents, strengthen licensing strategy and make defensible decisions that drive revenue with controlled risk. Patent monetization often starts with a simple question from the business: “What can we do with this patent portfolio?” . . For in-house legal teams and IP lawyers, the harder question is the one underneath it: “What can we do that’s commercially credible, legally defensible, and aligned with our business strategy?” . . That’s where IP research earns its keep. . . When IP research is done well, it becomes a decision tool. It clarifies the right strategy, sharpens prioritization, and strengthens your position in licensing conversations. It also prevents wasted effort on weak opportunities and helps surface valuable patents that might otherwise be overlooked. . . In this article, we’ll look at how IP research supports better decisions across the full spectrum of patent monetization strategies – from patent valuation and licensing patents to selling patents, cross licensing, and dispute readiness – with a global, practical lens.. 2026-03-20T16:08:34.662Z Blog https://www.rws.com/blog/preventing-jailbreaks-starts-with-better-AI-data-design/ Prompt patches fail at jailbreak prevention. Learn how AI safety alignment data and human-curated datasets reduce LLM vulnerabilities at the source. Every few weeks, a new jailbreak surfaces – a technique designed to bypass a model’s safety controls and elicit unsafe behavior.. . Sometimes it’s a clever role-play. Sometimes a Unicode edge case. Other times, a nested instruction slips existing guardrails. In one recent example, a Stripe executive demonstrated how LinkedIn’s AI recruiters could be identified – and manipulated – by prompting them for a recipe for flan, a request that exposed underlying automation and safety gaps rather than human judgment.. . In another case, Expedia’s customer support chatbot was shown to generate instructions for making a Molotov cocktail when prompted creatively, despite standard safety controls being in place.. . The pattern is familiar. A model is declared “safe.” Someone breaks it. Teams rush to patch the system prompt, tighten refusal conditions or bolt on another filter. The exploit disappears but only briefly. Then, a variation shows up, and the cycle starts again.. . This isn’t a failure of effort. More often, it’s a matter of where that effort is applied.. . Most jailbreak prevention strategies treat the symptom, not the cause. They assume the model already understands where the boundaries are and just needs clearer instructions to follow them. When jailbreaks succeed, they often point to issues beyond prompt wording alone. They’re exposing gaps in the AI training data itself, particularly how user intent is labeled, how adversarial or attack-style inputs are represented, and how safety boundaries are taught through alignment data.. . In short, when training data lacks clarity, models are more likely to infer intent incorrectly, creating openings that jailbreaks can exploit.. . 2026-03-18T12:29:24.813Z Blog https://www.rws.com/blog/analyst-roundup-rws-tridion/ The Content Management System space continues to evolve, catering to a wide range of organization needs. Check out our Tridion analyst round-up. Read more. 2026-03-16T11:50:58.197Z Blog https://www.rws.com/blog/benchmarking-leading-llms-on-multilingual-synthetic-data-generation/ TrainAI by RWS tested 8 large language models across 8 languages and 4 tasks. Explore the multilingual LLM benchmarking results and recommendations. Large language models (LLMs) are only as good as the data they're trained on, and getting high-quality data in languages beyond English remains one of AI's toughest challenges. Not only is the internet largely Anglocentric, but real-world multilingual datasets are scarce, and much of what does exist is copyrighted, biased or locked behind restrictive licenses.. . That's why synthetic data generation has become central to how organizations build and scale global AI models.. . But how well do today's leading LLMs perform when you ask them to generate synthetic training data across a range of languages and tasks? That's the question we set out to answer. The results might surprise you.. 2026-03-05T09:24:31.287Z Blog https://www.rws.com/blog/thinking-beyond-cautionary-tales/ The critical role of humans in inspiring trust, building credibility and creating a connection We’ve all seen the headlines. Global brands launching campaigns that backfire spectacularly. Slogans that spark outrage. Product names that unintentionally offend. Marketing disasters rarely happen because of bad intentions – they happen because cultural nuance was overlooked.. . When content travels across borders without the right adaptation, reputations are put at risk. A joke that works in one market can fall flat – or worse – in another. A visual, phrase or reference that feels harmless at home can carry entirely different meaning elsewhere.. . These examples circulate widely across the marketing and localization community. They’re shared as cautionary tales, dissected in industry conversations and remembered long after the original campaign has been pulled. And they all point to the same truth: cultural relevance is essential.. . Take, for instance, when Braniff International Airlines (back in 1978) wanted to show-off their new leather seats to the Mexican market, they landed boldly with their best translation for "Fly in Leather": "Vuela en cuero". Mexican customers knew that could only mean one thing: they were now allowed to fly naked with Braniff. Good times.. . As irresistible as it may be to focus on anecdotal evidence of the decisive role of culture in human communication, brands in the AI era need to look at a bigger picture: having a Culture Intelligence Layer is not merely about buying insurance for costly one-off mistakes. It is about having a consistently human voice, that resonates and inspires familiarity and trust to consumers and to the world. It is about ensuring that every word – including those which, at a first glance, do not pose apparent risks in cultural misunderstandings – resonate with the reader in the right way, inspiring trust, building credibility, and creating a connection. In short: humans communicating with humans.. . 2026-03-04T14:37:49.9Z Blog https://www.rws.com/blog/the-power-behind-the-evidence/ Discover how the collective expertise of the Crowd strengthens the evidentiary foundation on which IP decisions are made. In intellectual property, evidence shapes outcomes. The strength of that evidence often depends on the depth of investigation behind it. At RWS, that investigation is powered by a global IP research Crowd – a network of specialists who contribute technical expertise, multilingual capability and disciplined analysis to support litigation, invalidity, freedom-to-operate and strategic portfolio decisions worldwide.. . We asked members of the Crowd to reflect on their work and motivations. Their responses revealed a community defined by experience, intellectual curiosity and a shared commitment to rigorous research.. 2026-03-02T12:38:28.489Z Blog https://www.rws.com/blog/what-is-ai-translation-in-2026/ Explore how AI translation works in 2026, from machine translation and neural MT to newer AI approaches, and learn when each method delivers the best results. AI translation has entered a new era. What once meant running text through a single machine translation engine now describes a broad ecosystem of models, AI tools, data, workflows and decision logic that support global translation at scale. In 2026, AI translation is no longer a single capability. It’s a strategic discipline that brings together multiple technologies, each designed to solve a different part of the translation challenge across multiple languages.. Organizations feel this shift every day. Content is more varied, timelines are tighter and expectations for accuracy, tone and brand consistency remain high. AI helps meet those demands, but only when the right models are paired with the right workflows and supported by the right human expertise. Understanding the difference between today’s AI translation technologies is the first step in making those decisions with confidence.. 2026-02-20T15:04:10.951Z Blog https://www.rws.com/blog/transforming-legal-translation-with-AI/ Explore the latest AI-advanced features for legal available with Language Weaver The legal services industry is experiencing rapid growth and transformation. Valued at over $1 trillion and projected to rise steadily (with an annual increase of 5% or more through 2030), law firms are facing mounting challenges in litigation, arbitration, investigation, and compliance. A major driver of this change? The explosion of multilingual content. . From litigation materials to cross-border contracts and regulatory requests, law firms must increasingly manage sensitive data in multiple languages. Traditional approaches to translation including manual and human-only processes are typically slower, more expensive, and impractical at scale. This is where AI-powered translation steps in. . 2026-02-18T11:16:55.998Z Blog https://www.rws.com/blog/stop-running-AI-experiments/ What's the real problem with AI pilots? AI has moved from experimentation to expectation. Boards want AI-first operating models. Executive teams are demanding measurable impact at speed and scale across global workflows.. . Yet despite record investment, most organizations are failing to deliver. The pattern is consistent: pilots are common; production outcomes are rare. Multiple studies indicate that the vast majority of AI pilots fail to progress into production, with reported failure rates reaching as high as 95%.. . Pilot failures are rarely due to a fundamental flaw in AI as a technology. The problem is that most pilots are not designed to prove the technology can operate within the unforgiving constraints of the real world.. 2026-02-18T08:47:54.348Z Blog https://www.rws.com/blog/world-economic-forum-leaders-can-learn/ What can business leaders learn from this year's event in Davos? At the World Economic Forum Annual Meeting in Davos, artificial intelligence was framed less as a possibility and more as a system already shaping enterprise reality.. Leaders spoke about AI as already being present in enterprise environments, shaping how work is coordinated and how decisions are made. Much of the discussion focused on how these systems are deployed and governed once they move beyond controlled settings.. That shift matters. As AI becomes more embedded in day-to-day enterprise use, expectations around reliability and governance increase alongside it. Across multiple sessions, leaders returned to a shared concern: AI capabilities are advancing faster than governance models and operating practices are maturing.. Chris Lehane, Chief Global Affairs Officer at OpenAI, described this imbalance directly, noting that institutions, regulation and governance frameworks are struggling to keep pace with the speed of AI development. Salesforce CEO, Marc Benioff, raised a similar warning, arguing that insufficient oversight risks undermining trust and could lead to real societal harm.. Enterprise AI has reached a turning point. The question now is whether it can be governed and trusted at scale. At Davos, leaders returned to seven connected signals shaping how the next phase of AI adoption will unfold.. 2026-02-17T14:12:33.297Z Blog https://www.rws.com/blog/hidden-cost-getting-patent-translations-wrong/ Why linguistic accuracy determines enforceability, not just compliance Patent translations are more than words on a page; they are the backbone of an effective IP strategy. They can determine whether patent rights withstand scrutiny or unravel when enforced.. With translation costs accounting for a significant proportion of international patent filing spend, the temptation to prioritise speed or cost over quality is understandable. But it is also a gamble, and one that can cost far more over the life of a patent.. At RWS, we see patent translations not as linguistic exercises, but as legal instruments. The wording of a translation defines the scope, strength, and enforceability of an invention across jurisdictions.. 2026-02-13T08:43:54.641Z Blog https://www.rws.com/blog/beyond-neutral/ Discover how AI-powered localization helps brands move from neutral translation to natural, hyperlocal communication. Language is complicated. When we talk about good translation, we often think only about getting the words correct. But real, local communication is more than that. It encompasses not only the correct aspects of language but also all the ways the community shifts and subverts those rules to communicate nuance and therefore belonging.. . There’s an idea in translation that neutral is polished and safe, but the reality is that it often fails to connect with the target audience for that exact reason.. . That subtle disconnect comes at a price. It means customers might feel alienated. They notice when content feels imported. But good localization can be expensive, too, and sometimes hard to scale. As brands expand across markets and expect to work despite borders, can AI bridge that gap?. 2026-02-11T09:19:35.191Z Blog https://www.rws.com/blog/china-ip-services-award/ Huge congratulations to our team in China! RWS’s Protect team in China has been named ‘Outstanding IP Service Team in China (2025)’ at the Enterprise IP Strategy Forum and Annual Conference of In-house IP Managers, held in Beijing.. . This recognition marks the fourth consecutive year the team has received the award, following previous wins in 2022, 2023 and 2024.. . . . . . . . . . 2026-01-28T16:47:50.013Z Blog https://www.rws.com/content-management/blog/medical-plm-quality-cost-of-inconsistency/ Learn how document-first operating models create regulatory risk across the medical device lifecycle. Inconsistency is a risk, both from a quality and business standpoint. Drift across labeling, IFUs, training, and submissions slows approvals and weakens audit readiness. The root cause is the operating model. High-risk statements get rebuilt across documents, so change does not propagate, and micro-variants multiply across teams, templates, and markets. The fix is to control content, not documents. Treat regulated statements as governed components with ownership, versioning, and traceability so that outputs and deliverables can scale without drift. 2026-01-23T16:40:32.555Z Blog