CoCounsel Archives - Thomson Reuters Institute https://blogs.thomsonreuters.com/en-us/innovation-topics/cocounsel/ Thomson Reuters Institute is a blog from 抖阴成年, the intelligence, technology and human expertise you need to find trusted answers. Tue, 21 Jul 2026 13:48:52 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.6 Meet The CoCo /en-us/posts/innovation/meet-the-coco/ Tue, 21 Jul 2026 13:48:52 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71810 The CoCo is the genius of CoCounsel, personified. She’s the keeper of more than 175 years of 抖阴成年 knowledge, set in an infinite library where she knows every volume, every page, every data point and reference, and can pull any of it in an instant. Go ahead and test her. And because The CoCo can’t help but be The CoCo, she’ll let you know it 鈥 with a bit more sass and snap than you’d expect from someone who lists professional AI platform on her business card.

She’s brought to life by comedic actor Beth Dover, and she’s about to be hard to miss. The CoCo arrives in a fully integrated campaign spanning TV, social, streaming radio, out-of-home and trade events, rolling out across our core professional markets. It’s also the most ambitious brand campaign we have mounted in more than a decade.

Why a character, and why now

Most technology gets explained. We wanted CoCounsel to be felt. Professional audiences have heard every AI promise by now, and most of it sounds the same. A feature list doesn’t cut through that. A personality does. The CoCo is how people meet CoCounsel 鈥 not through a spec sheet, but through presence, authority and the kind of confidence that only comes from actually knowing the answer. She’s memorable on purpose, because the point we’re making deserves to be remembered.

There has been a lot of talk about what AI might do someday. The CoCo is here to talk about what CoCounsel already does, for the professionals who can’t afford to be wrong.

“Professionals in law, tax and compliance don’t have the luxury of being wrong. That’s why CoCounsel exists. It combines the trusted content, technology and expertise 抖阴成年 has spent more than 175 years building and puts it to work in moments that matter most. The CoCo gives that story a voice. She’s confident, authoritative and impossible to ignore鈥攋ust like the professionals we serve. This campaign is about more than introducing a character. It’s a statement about what 抖阴成年 is today: a technology company powered by trusted intelligence, helping professionals navigate a world that grows more complex every day,” said Amy Messano, Chief Communications and Marketing Officer at 抖阴成年.

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The Next Phase of Professional AI Is Here /en-us/posts/innovation/the-next-phase-of-professional-ai-is-here/ Mon, 22 Jun 2026 12:22:36 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71484 As AI becomes more capable, a new divide is emerging. Not between models, but between work that can tolerate a lack of precision and work that cannot.

General-purpose AI is advancing quickly and delivering real value. It will continue to augment the operational layer: workflow automation, routine document processing, and open-ended brainstorming. Then there is the work that must be cited, audited, and defended. Research that shapes case strategy. Regulatory submissions. Transactions where a partner puts their name on the closing certificate. This is the work that demands something general-purpose AI was not designed for and can鈥檛 reliably deliver through prompting alone. The AI to support high-stakes work needs authoritative grounding, citation integrity, and professional governance built into the architecture from the first step, not added at the end. It needs depth.

Those two categories complement each other, but they are separating in terms of their roles in the stack. And the question for every professional organization is no longer whether to adopt AI; it is which kind the work in front of them requires. Legal is where that question is sharpest, and where we are answering it first. But the same divide is opening across tax, accounting, audit, and risk, wherever professionals are expected to produce work that can withstand scrutiny. That is the work we built for, and today the is here for early access.

The profession has already reached this conclusion

Our 2026 Future of Professionals research, drawing on more than 1,800 legal and tax professionals across 62 countries, makes the shift plain. Most now use AI several times a week. The open question is no longer adoption. It is trust. Asked what makes AI accountable to professional standards, 95% pointed to safeguarding confidential data, 94% to outputs grounded in verified content rather than the open internet, and 87% to work built on human expertise that can be explained and defended.

The stakes are no longer hypothetical. Courts have sanctioned lawyers for filings built on AI-generated citations that did not exist and have been clear that responsibility sits with the professional, not the tool. Adoption is accelerating anyway. That combination is exactly why the category of AI now matters as much as the capability of AI.

Agentic AI is not a counting exercise

The word agentic is everywhere, usually used to count things: how many tools a system can call, how many agents it can name. Those capabilities matter, but the number of agents is the wrong measure. We built the next generation of CoCounsel Legal on the principles that make agentic systems genuinely powerful, the same ones that make coding agents work: reason through the problem in testable steps, call the right tools as the work requires, adapt when new information changes the analysis, and keep the reasoning traceable enough to verify. Agentic capability is not about enumerating and building a deterministic set of skills; it is about building an intelligent system that is adaptable while being rooted in the tools and information that underpin the business and the industry.

What makes that reasoning trustworthy is where the knowledge sits. There is a meaningful difference between a system that calls Westlaw at the end of a task to check citations, and one where Westlaw and Practical Law are wired into how the agent reasons from the first step, content that took 抖阴成年 175 years to assemble. The first generates and then checks. The second reasons against authoritative knowledge throughout. The outputs are not slightly different; they are structurally different. CoCounsel Legal is the second model. The attorney does not approve the work on faith. They inspect it. Building professional AI requires more than integrating frontier models. It also requires specialized models built for the work itself.

We are strengthening this from underneath, too. CoCounsel Legal is and will remain multi-model by design. Alongside the frontier providers we work with, we are building our own: Thomson, our vertically specialized foundation model, built for depth and accountability rather than breadth. It ships later this year, first in Tabular Analysis inside CoCounsel Legal, where extracting structured answers across large document sets rewards precision a general model handles inconsistently.

A standard you cannot measure is just a claim

If professional AI is moving from answers to defensible work product, evaluation has to move with it.

That is why we built CoCoBench, our lawyer-led evaluation framework: more than 1,000 tasks written by practicing attorneys and scored against gold-standard answers also written by attorneys, from Big Law, government, in-house, and boutiques. It does not ask whether an output sounds like legal analysis. It asks whether the reasoning is right for the jurisdiction, whether the correct framework was applied to the facts, and whether an attorney could defend the result under scrutiny.

Measured against representative legal tasks reviewed by licensed attorneys, CoCoBench shows what professional-grade evaluation requires. These are not abstract benchmark questions. They are legal tasks, informed by practice experience, held to the standard of work a professional would need to review, rely on, and defend. That bar gets set when verified content, agentic reasoning, expert evaluation, and deep workflow integration work as one system.

Built for where work begins, wherever that is

Professional work does not start in one place. It begins in research platforms, drafting tools, document systems, and increasingly in general-purpose AI assistants. So we are not trying to be every interface a professional touches. Through APIs, connectors, Model Context Protocol support, and partner integrations across the AI and , CoCounsel Legal can be reached from the tools customers already use. When a lawyer hands off a task through MCP, they are not querying a content database. They are handing it to a system where authoritative content is wired into the reasoning, and the result can be inspected and defended. The general-purpose model starts the work. CoCounsel Legal finishes it to a standard that holds up.

This is what we mean when we describe CoCounsel evolving into an agentic operating system for professional work. Not a chatbot, not a list of agents, not a collection of plugins, but a trusted system that brings content, context, tools, models, verification, and human oversight together to move work to completion, while keeping people in the parts that matter most: judgment, strategy, review, and accountability.

Professionals will adopt AI when they trust it more than they fear it. That trust will not come from speed alone. It will come from systems that help them finish the work correctly and prove they did.

The future of professional AI will not be defined by who generates the most answers. It will be defined by who can help professionals produce work they can defend. That is the standard we believe matters, and the standard we are building toward.

That is what we built. The next phase of professional AI is here.

Read more:

 

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Building Fiduciary-Grade AI鈩 for Wherever Work Gets Done /en-us/posts/innovation/building-fiduciary-grade-ai-for-wherever-work-gets-done/ Mon, 22 Jun 2026 11:59:30 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71465 Professional work has never happened in a single system. It spans research platforms, drafting tools, document systems, enterprise workflows, customer data, and now a growing set of AI-powered assistants听and agentic systems.

For our听customers,听flexibility is powerful. Work can begin in听the听environment that is most natural for the task at hand. But it also creates a critical challenge: as work moves across more tools, models, partners, and interfaces, how do professionals听keep track of what happened and why?听听The听final output听must听be听accurate, transparent, secure, and defensible.听As AI moves from answering questions to planning, acting, and coordinating work across tools, the system behind the interface matters more than ever.

That question is becoming more urgent as AI changes the speed and scale of professional work. The gap between what is plausible and what is correct, between what is fast and what can be trusted, is widening. In legal, tax, audit, and compliance, that gap is not theoretical. It creates real consequences for clients, organizations, markets, and reputations.

At 抖阴成年, we call the standard听required听for this work Fiduciary-Grade AI鈩:听AI designed for professionals whose work听is subject to regulatory oversight听and duties听of care听and where听accuracy,听confidentiality, and听accountability听are critical. In the agentic era, that standard becomes even more important because AI is no longer only generating answers. It is beginning to听help听plan work, use tools, coordinate steps, and help complete complex tasks.听And it is increasingly dependent on many interconnected AI technologies, models, and agents working together to produce a final work product.

That is the standard we are building CoCounsel听to,听as it evolves into an听agentic听operating system听for听the professions we serve.

CoCounsel is designed to meet professionals wherever high-stakes work happens. Often, that means starting and completing work directly in CoCounsel. Increasingly, it also means making CoCounsel accessible across the broader ecosystem of tools, models, platforms, and partners our customers already use.

The goal is simple: put听Fiduciary-Grade听AI鈩听at the fingertips of our customers, wherever professional work begins, and ensure that when the work matters, it can be trusted.听That is what we mean by an听agentic听operating system: not a single agent, chatbot, or workflow tool, but a trusted system that can bring together content, context, tools, models, verification, and human oversight to help professionals move work forward.

Starting Work Is Easy. Finishing It Is What Matters.

AI has made it easier than ever to begin work. A prompt can generate a draft, summarize a document, surface听a possible answer, or move a task forward in seconds.

But in professional environments, starting work is not the hard part. Finishing it听accurately听is.

This need is especially visible in legal, where professionals must ground their work in trusted sources and stand behind the results.听When work carries consequences, when it needs to stand up in a boardroom, before a regulator, in an audit, or in court, what matters is how that work is grounded, verified,听validated, and made defensible.

That is the role CoCounsel is designed to play.

Trust in professional AI cannot be treated as a feature added at the end.听It has to be built into the system itself.听Outputs must be grounded in authoritative, continuously maintained sources. They must be shaped by domain听expertise. They must include mechanisms for validation and transparency, so professionals can understand, verify, and stand behind the results.

This is what separates general-purpose AI from听Fiduciary-Grade听AI鈩.

General-purpose AI can be extraordinarily useful for exploration, brainstorming, summarization, and productivity. But high-stakes听professional work requires more than a plausible answer. It requires systems that understand the domain, apply trusted sources, respect privacy and security obligations, and support the human accountability that听remains听at the center of professional judgment.

We are seeing this first in legal. CoCounsel Legal combines advanced AI with 抖阴成年 trusted legal content, workflows, and听expertise, including Westlaw, Practical听Law听and听KeyCite,听which can be applied to听customers鈥 own documents and work听product. It is designed not only to help legal professionals move faster, but to help ensure their work can be trusted when it matters most.

As Elizabeth F. Salsedo-Surovov, Director of Knowledge Management and Information Resources at Robinson & Cole LLP, recently said:听鈥淲e’re really excited to be using [CoCounsel Legal] Deep Research鈥 we are using it in Westlaw through our partnership with 抖阴成年, in our听on-premise听AI environment to pull in the Deep Research reports so that people are not doing research in the听ChatGPTs听of the world, they’re doing research in Westlaw. …听Utilize听the trusted听resource听and tools of Westlaw to do your legal research.听Don’t听rely on other AI tools.鈥

That customer perspective captures the shift underway. Professionals are not just asking for faster AI. They are asking for AI they can rely on.

Building Across the Customer鈥檚 Ecosystem

The next generation of CoCounsel is being built for that reality.

CoCounsel will continue to be a primary destination for professional work. For many customers and many workflows, the best experience will begin inside CoCounsel itself, where 抖阴成年 can bring together content, workflow, context, AI, and various 3rd听party applications and agents听in one trusted environment.

But professional work also starts in many other places. It starts听in听documents, emails, enterprise systems, matter management tools, tax workflows, accounting platforms, customer environments, and increasingly general-purpose AI assistants.听听That is why we are building CoCounsel to听operate听across a broader ecosystem as well.

Through APIs, connectors, Model Context Protocol capabilities, and emerging interoperability standards, CoCounsel can be integrated with and invoked from the environments where customers are already working. In legal, we are beginning to听demonstrate听this through our work with Anthropic and Claude, enabling customers to connect Claude with CoCounsel Legal so that work can move between a general-purpose AI environment and 抖阴成年 trusted legal AI system.

And this is just one part of the broader strategy.

We are engaging across the AI and enterprise technology ecosystem,听with Google, Microsoft, OpenAI, AWS, Anthropic, and other partners, to make CoCounsel available where our customers choose to work.听Through MCP and other integrations, CoCounsel can be accessed from the environments where customers are already working.

This is not about turning 抖阴成年 into a passive content layer for someone else鈥檚 interface. It is about making CoCounsel available as the trusted professional AI system that grounds,听validates, and completes high-stakes work, regardless of where that work begins.

The same strategy extends beyond听legal. As CoCounsel continues to expand across 抖阴成年, including tax, accounting, audit, risk, and compliance, we are building toward a future where fiduciary-grade AI is available across the professional workflows our customers rely on every day.

What Comes Next

AI is raising expectations for speed and scale across every professional industry. But as the volume of AI-assisted work increases, so does the pressure on accuracy, judgment, and accountability.

The systems that matter most will not be the ones that simply help professionals start听work听faster. They will be the ones professionals can rely on to finish work correctly.

That is the future we are building听toward with听CoCounsel.

We will continue to make CoCounsel a best-in-class destination for professional work. And we will continue to extend it across the ecosystems where our customers are already working, across models, platforms, partners, and workflows.

Because the future of professional AI will not be defined only by who can generate the fastest answer.

It will be defined by which systems professionals can verify, trust, and stand behind.

That is the fiduciary-grade standard we are building into CoCounsel across 抖阴成年.

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The Next Generation of CoCounsel Legal Is Here 鈥 and Early Access Starts Now /en-us/posts/innovation/the-next-generation-of-cocounsel-legal-is-here-and-early-access-starts-now/ Mon, 22 Jun 2026 11:59:28 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71419 When we launched the beta for the next generation of CoCounsel Legal, we knew we built something special. But we still expected what most betas look like: feedback on missing features, requests for refinements, and months of work before we were ready to put it in front of everyone.

That is not what happened.

Instead, what we heard from lawyers using the beta stopped us in our tracks. We received emails from attorneys who had used CoCounsel Legal for specific tasks saying they were now starting nearly every project in the new experience. More than a few testers sent us emails sharing how much they 鈥淔#@%ing loved鈥 the new CoCounsel (that鈥檚 a direct quote!). Transactional lawyers told us they were completing work in a single session that used to take multiple tools and context rebuilding. Litigators told us the underlying legal analysis made them rethink what was possible with AI in complex work. Our average rating on outputs was over 4 stars (out of 5)! Across every user, the reaction to the shift was the same, and it was unprompted: I can鈥檛 get enough of this. They started asking us to add additional users to the beta program and told us they were now rethinking rollouts planned with other AI tools.

We realized we built a product that lawyers needed access to now.

So, we are not waiting. Starting this week, CoCounsel Legal customers will get early access to the next generation of CoCounsel, ahead of the full launch planned for later this summer starting in the U.S, and followed by rollouts in Canada, UK and Australia. The product will keep getting better. But it is already good enough that keeping it from you any longer felt like the wrong call.


“The new version of CoCounsel Legal is now one of the first tools I turn to when I want to get work done. Where I once used CoCounsel Legal for specific tasks, I now start nearly everything with the new CoCounsel Legal.”

Dan Block, Director, Sterne Kessler Goldstein & Fox


Built to Work Like a Senior Associate

The first generation of CoCounsel Legal was built around skills and structured workflows. It reflected where AI was when we designed it. You chose a skill, defined a workflow, or wrote a detailed prompt, and the work came back task by task.

The next generation works the way an attorney works with a teammate. Describe your matter in plain language. CoCounsel Legal creates a plan, dives deep into legal authority, reasons through the legal issues, retrieves what it needs from your own precedents, and from Westlaw and Practical Law, and drafts with citations. When new information changes the picture, it adapts. Instead of getting piecemeal answers, you get a professional standard response that you can iterate on.

In the beta, attorneys stopped comparing CoCounsel Legal to other AI products and software. They started comparing it to a senior associate. The work came back with the detail and judgment they would expect from a skilled colleague 鈥 verifiable, ready for review, and open to iteration. Like a good teammate, CoCounsel Legal does not just deliver an answer. It stays in the conversation until the work is right.


“Lawyers don’t want to just operate software, and that’s not what great AI should do. CoCounsel keeps them in the analytical mindset they were trained for: going back and forth, challenging answers, and steering the work. With sourcing directly from Westlaw and Practical Law, they’re not wasting time second-guessing the results. We’re seeing adoption from associates to partners across every practice area. When it spreads that quickly, the experience just works.”

Andrew Medeiros, Managing Director of Innovation, Troutman Pepper Locke LLP


It Was Built for You Too

CoCounsel Legal has always been exceptional at litigation and legal research. What surprised beta customers was how much more it has to offer.

Transactional attorneys found it opening lines of work they had assumed were out of reach. A specialist in employee benefits told us the result was exactly what they had hoped AI could do for their practice, and that it could save them months of work. One beta user told us they asked CoCounsel Legal to redline and it did a better job than anything else on the market. The breadth is real, and it is one of the strongest signals to come out of the beta: the people most surprised by the product were often the ones who thought it was not built for them.


“I would argue I can’t do 20% of my job in a way that I feel is responsible for the company without the next-gen CoCounsel Legal.”

– Mike Schultz, Senior Securities and Corporate Counsel, FMC


There is More to Come

The early access experience is the beginning. We鈥檒l continue rolling out more of the capabilities our beta customers told us they want:

  • Workspaces give lawyers a dedicated environment for every matter, where their documents, precedents, and prior positions shape the analysis from the start. Context does not get lost between sessions, between colleagues, or between matters. The institutional knowledge that took years to build is available in the workflow right when the user needs it. Workspaces is live today and will get even better in the coming months.
  • Brief Builder is an agentic drafting tool for complex briefs and motions, grounded in verified Westlaw and Practical Law authority, with citation checking and issue spotting built into the process and the attorney in control at every step.
  • Firm and organizational intelligence, built in, is a skill-authoring layer that lets lawyers encode their expertise and knowledge directly into CoCounsel Legal. That expertise is then applied consistently across every matter and every lawyer on the team. Work that used to live in one person’s head becomes something the whole firm can draw on.

Each of these came directly from what legal professionals told us they needed. A platform that holds the work together, carries context forward, and meets professional standards throughout.

 


“CoCounsel Legal is a superior AI tool for litigators鈥攏ot just for legal research and drafting, but can take a first pass at a legal analysis. It even proactively flagged an anti-assignment issue I hadn’t yet asked about鈥攊t anticipated exactly where I was going to prompt it next. It wasn’t making anything up, it was simply surfacing the right extra issue. I’d give the new CoCounsel Legal experience a 10/10.”

Amber Simon, Attorney, Polsinelli


The Standard Stays

The experience is new, but the standard has not changed.

Fiduciary-Grade AI鈩 means something specific at 抖阴成年. It means every output is grounded in authoritative, verified content from the very first step of the reasoning, not retrieved afterward to check the answer, but native to how the system thinks. It means every citation is traceable, with linked sources users can click through and read themselves. It means the reasoning process is visible, so the attorney reviewing the work can inspect it rather than simply approve it. And it means confidential data is never used to train third-party models.

The next generation of CoCounsel Legal is the definition of Fiduciary-Grade AI 鈩.

Our commitment to being available where lawyers work has also not changed. CoCounsel Legal will connect to Microsoft 365, HighQ, iManage, NetDocuments, SharePoint, Icertis, DeepJudge, Supio, Smokeball and more. Documents move into the workflow without downloading and uploading. And through our new MCP integration with Anthropic, legal professionals working in Claude can now access CoCounsel Legal without switching platforms.

 


“CoCounsel Legal is vastly ahead of them [legal AI assistant alternatives]. If we’re talking about this new updated version of CoCounsel Legal, I don’t think there’s any other legal tool on the market that’s really close to it.”

– Jerry Johnson, Chief Privacy Officer and Vice President, Teladoc Health


Starting This Week

Every CoCounsel Legal customer in the US will see a toggle in the product this week. They can move to the next generation experience and return to the current version at any time. Both remain fully available throughout the early access period. No work is disrupted and no access is lost. Customers who purchase CoCounsel Legal after this week will have the same experience, with full general availability planned for August 2026.

Lawyers across law firms, government agencies, courts, and legal departments told us the new version of the product was ready. We believe them. We hope you enjoy it. To learn more about the next generation of CoCounsel Legal, visit our .

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The future of indirect tax compliance is touchless /en-us/posts/innovation/the-future-of-indirect-tax-compliance-is-touchless/ Tue, 16 Jun 2026 12:59:37 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71386 Governments around the world are overhauling how they collect and verify tax. Digital reporting requirements, mandatory e-invoicing, and real-time data submissions are becoming standard practice,听not just in Europe, but across Latin America, Asia-Pacific, and beyond. The pace is accelerating.

The European Union鈥檚 new package of reforms to the听Value-Added听Tax in the Digital Age (ViDA),听is one such example,听representing听both a fundamental compliance change as well as a major technological transformation. July 2030 marks the point when cross-border e-invoicing and digital reporting must be working at scale across all EU member states. However, the pressure on businesses is already here. Many member states have begun introducing e-invoicing mandates, creating a patchwork of national requirements that are different from one another yet all moving towards the same end goal.

For multinational companies, this creates a growing coordination problem. Finance and tax teams must reconcile data from multiple internal systems, interpret rules that vary significantly by country, and meet filing deadlines that听don’t听leave much room for error. A mistake听doesn’t听just mean rework,听it can mean audits, penalties, and reputational risk.

Until recently, most teams have managed this through a combination of spreadsheets, manual processes, and hard-won institutional knowledge. That approach is reaching its limits, and the time cost is real. For many finance and tax teams, indirect tax compliance consumes weeks of resource every period, gathering data, chasing exceptions, and reconciling figures across systems under the pressure of immovable deadlines.

The compliance landscape is also changing shape. Real-time reporting through e-invoicing and periodic indirect tax compliance are no longer separate workflows. With agentic AI, they converge bringing together e-invoicing, reconciliations, and compliance preparation into a single, integrated automated workflow, closing the gap that has long been a source of risk and rework.

Where AI fits in

The promise of AI in compliance听isn’t听to replace human judgment,听it’s听to remove the volume of repetitive, low-value work that currently consumes most of the time. Pulling data from different systems, checking for inconsistencies, flagging mismatches before they become filing errors: these are tasks that听don’t听require听expertise听to execute, but consume the time of people who have it. The shorthand for what that looks like in practice is鈥痶ouchless compliance,听a process that moves听largely on听its own, with human attention focused on review and exceptions rather than data wrangling.听That capability is powered by CoCounsel, 抖阴成年 AI technology that has already surpassed one million professionals听worldwide, and听now brought to the complexity of global indirect tax compliance.

ONESOURCE Indirect Compliance powered by CoCounsel is built around that idea听and is听generally available听starting July 3.听It听can import听data听from any company’s financial system,听transactional听records, and where available, drafts provided by tax authorities themselves. It also听works to听identify听and resolve issues before deadlines arrive. Rather than a scramble at period-end, the goal is a steady, auditable process that reaches a review-ready state with time to spare.


鈥淕etting new countries on board could take weeks, sometimes months. Having ONESOURCE Indirect Compliance powered by CoCounsel will help us identify changes to mappings, guide us through configuration, and streamline the whole process. These changes will genuinely be transformative for a global operation like ours.鈥澨

鈥 Kevin Escott,听Executive Director, Corporate Functions Technology, JLL


Trust is the harder problem

Automating compliance is technically achievable. The harder challenge is making automation that practitioners actually trust, especially when their name is on the filing. ONESOURCE Indirect Compliance powered by CoCounsel is built to meet that standard because it incorporates Fiduciary-Grade AI鈩, where its听outputs are transparent, verifiable, and defensible in high-stakes environments.听Touchless compliance is only valuable if the trail it leaves behind is听one听you’d听be comfortable defending.

What comes next

Digital tax reporting requirements are still in its early stages globally. The countries that have moved fastest (for example: Brazil, Poland, and France) are being watched closely by others. More government mandates are coming, and the window for manual workarounds is narrowing.

The organizations best positioned for听what’s听ahead are the ones building structured, auditable compliance processes now听鈥撎齜efore the next wave of requirements lands.

Visit our website听听for more information听on ONESOURCE Indirect Compliance powered by CoCounsel.

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If You Can’t Verify It, You Can’t Sign It. /en-us/posts/innovation/if-you-cant-verify-it-you-cant-sign-it/ Tue, 05 May 2026 15:43:58 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70777


Lawyers have always been accountable for their work. That was true before AI, and it is just as true now. A brief carries your name. An argument carries your judgment. A citation carries your reputation. None of that changes because an AI tool helped you produce it faster.

That鈥檚听why when firms talk about adopting AI for legal work, the first question听shouldn’t听be about speed or cost savings. It should be: can I听actually verify听what this produces? If you听can’t听trace an output back to its source, check whether that source is still good law, and inspect the reasoning that connected the two, you听don’t听have work product. You have a draft you听can’t听stand behind.

That standard is not new.听What’s听new is how many lawyers are finding out the hard way that the AI tools they adopted听weren’t听built with it in mind.

Courts across the United States have now sanctioned attorneys for听submitting听briefs with fabricated citations, false quotes, and mischaracterized precedent 鈥 all generated by AI and not verified by the attorneys. When those tools are built on content scraped from the web rather than authoritative legal sources听maintained听by practicing attorneys, the risk of error is structural. The AI has no way to know whether a case is still good law, whether a statute has been amended, or whether a citation听actually supports听the argument听it’s听being used to make. Verification becomes difficult not because the tools听don’t听show their work, but because the underlying sources听can’t听be trusted in the first place.

At听Thomson听Reuters,听we听understand听that lawyers听don’t听just need to find the law 鈥 they need to be able to stand behind what they find.听We鈥檝e听always built Westlaw听and Practical Law听with that in mind, and听it’s听the same principle we carried into CoCounsel Legal from the very beginning.

Built for Verification at Every Stage

When we designed CoCounsel Legal, we started from a simple premise: a lawyer should be able to verify everything the AI produces before putting their name on it. That meant building听tools that give attorneys everything they need to do that听verification听themselves,听at every stage of the workflow.

As the research unfolds,听Deep Research听shows you its work in real time, step by step. You can follow the reasoning as it develops,听explore听findings as they听emerge, and听refine听the research with more specificity听by answering听additional听questions.听

As citations are built, two things work in parallel.听KeyCite听is woven into every stage of the research workflow, flagging cases overruled in part, warning of proposed amendments to statutes, and surfacing cases that are听frequently听cited together even when they听don’t听cite each other. Alongside it,听CoCounsel Legal’s patent-pending citation ledger听tracks every source the AI draws on throughout the research process and confirms that each source was听actually read听and reviewed 鈥 not just referenced.听Together, they give attorneys what they need to听answer the question听that听should听precede every citation听they rely on: does this hold up?

Before anything goes out, two more layers of review engage.听The Verify function, launched in February 2026, surfaces every assertion made in the research report alongside the relevant source passages and pointers for听additional听research 鈥 giving attorneys everything they need to听verify听before anything goes out the door.听Litigation Document Analyzer听goes further听by听identifying听potential misrepresentations of law throughout an entire brief, your own or opposing counsel’s. Because in litigation, what a document implies about the law matters just as much as what it explicitly says.

Every one of these capabilities exists for the same reason: because when you use AI to do legal work, you are still the one responsible for it.听

The Question Every Lawyer Should Be Asking

Not all legal AI is built the same way.听Some tools are little more than general-purpose foundation models with a legal label applied 鈥 with little ability to confirm whether the underlying sources are current, authoritative, or accurately represented in the answer.听They can be fast. They can be impressive in a demo. But when a client’s matter is on the line and a judge is asking questions, impressive in a demo is not the standard that matters.

At 抖阴成年,听fiduciarygrade听AI is our standard for how AI should work in听highstakes professions.听听It鈥檚 AI designed for professionals – built on our authoritative content; protected by rigorous privacy and security safeguards; shaped and validated by subjectmatter听experts; and designed to produce transparent outputs that can be verified.听

We鈥檝e spent decades earning the trust of the legal profession. That history shaped how we built CoCounsel Legal. When your firm is evaluating which AI tools to adopt, the conversation about speed and efficiency matters. But it shouldn’t be the only conversation. Ask how the system handles accuracy. Ask what happens when you need to trace an output back to its source. Ask whether you can actually verify what it produces before your name goes on it. Those questions will tell you everything you need to know about whether a tool was built for legal work or just marketed to it.

Lawyers have always been accountable for what they put their names on. The right AI gives you the tools to meet that accountability 鈥 and the confidence to know you have.

 

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Why Legal AI Needs a New Standard: Inside 抖阴成年 CoCoBench /en-us/posts/innovation/why-legal-ai-needs-a-new-standard-inside-thomson-reuters-cocobench/ Mon, 04 May 2026 19:42:38 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70762 A lawyer听submits听a filing supported by a citation that听doesn鈥檛听exist. The system produced a polished answer.听It just wasn鈥檛 grounded in reality.

This is the gap facing legal AI today. Not whether systems can generate听 sophisticated听answers, but whether those answers are听actually good听enough for real legal work.

In practice, there is a consistent and measurable gap between how systems听perform on听traditional benchmarks and how they听perform on听real legal work.

Most evaluations still rely on benchmarks that were never designed for how legal work actually happens.听Bar exam questions, clause extraction, single听turn prompts.听These tests evaluate discrete听components of the work.听But they听fail to听capture听how a system performs across the听iterative spectrum of听tasks听that make up real legal work.

As a result, systems are often听optimized听to perform well on benchmarks that do not reflect how legal work is听actually done.

And critically, they fail in ways those benchmarks are not designed to catch, and as agentic systems proliferate, those听small errors听cascade into听more frequent and even harder to听identify听failures.

Starting with the work

When we set out to build the next generation of听CoCounsel听Legal, we听didn鈥檛听start with models or features.听We started with听the work听itself: what does legal work actually look like in practice?

鈥淭his听isn鈥檛听build听first, ask later.听It鈥檚听ask听first, build second,鈥 our teams听often听reiterate.

CoCounsel听Legal has been in听the听market since August, already supporting legal professionals in research, drafting, and review. But as we looked ahead to the next generation, now in beta, a clear shift听emerged. The focus is moving from point-in-time听assistance听to systems capable of handling听longer unaided task horizons and听more听end-to-end听workflows.听That shift required us to rethink not only how we build听CoCounsel, but how we evaluate it.

From听Single听tasks to听Work, Completed

Through research with hundreds of legal professionals and over 100 Practical Law attorney editors, a consistent pattern听emerged. The challenge was not any single task,听being听too difficult. It was the number of steps听required听and the effort听of keeping听them coherent.

Legal work听doesn鈥檛听happen in isolated prompts. It moves across research, drafting, review, and revision. Context builds,听decisions听compound, and small errors early can affect everything that follows. That is not what traditional benchmarks are designed to measure.

A different kind of system

The next generation of听CoCounsel听Legal reflects that shift. A single instruction can now trigger a complete workflow.

Ask it to draft a motion to dismiss. It plans the work, reviews the relevant documents, conducts legal research, pulls secondary sources, and produces a draft grounded in authority,听validating听citations听for its conclusions throughout the work and听returning a final output听grounded in those facts.

That鈥檚听not a task.听It鈥檚听a complete workflow.听And听it’s听exactly where traditional benchmarks break down.

And it raises a different question. How do you听comprehensively听evaluate something like that?

Building听CoCoBench

We needed a way to measure performance at the level of real legal work.听That鈥檚听why we built听CoCoBench,听a framework designed to evaluate AI systems at the level of real legal work, and one we are now making more visible externally.

CoCoBench听measures whether an AI system can complete real legal tasks to a听fiduciary-grade听standard. It is built around hundreds of attorney-authored benchmark tasks, with a fixed core dataset used to track performance over time. More than 100 legal subject matter experts have contributed听to the legal dataset, alongside research and engineering teams at 抖阴成年 Labs听who developed the evaluation听infrastructure,听representing over听15,000听hours听of practitioner听and engineering听work.

Each test reflects听real practice: a query听written听the way a practitioner would听ask it,听supporting materials drawn from representative contracts, pleadings, or correspondence, and听a gold-standard response drafted and reviewed by attorneys.听This approach is grounded in what we internally refer to as ideal-response evaluation, defining what correct, complete legal work actually looks like and measuring system output against that standard.

The goal is not to measure whether a system can听produce a response.听It is to measure whether听that response听(and听it鈥檚听sequence of work to听reach that response)听constitutes complete,听accurate听legal work.

Evaluating how the work gets done

Legal workflows are multi-step, which means evaluation cannot stop at the final output.A system can produce a coherent answer听even听while relying on flawed reasoning听-traditional benchmarks often听fail to听detect听this as a failure mode.

In agentic systems, an error in one step carries forward. A result may appear coherent while being built on听an听error听upstream.听CoCoBench听addresses this by evaluating the final deliverable alongside the citation record the system produced along the way.听Specifically, what it cited, where it sourced it, and whether the source actually supports the claim.听

These evaluations span core categories of legal work, including research, drafting, review, and multi-step reasoning across workflows.

A higher standard

Every output is evaluated against what a practicing attorney would consider acceptable. That includes correct听application of the law, completeness of analysis,听accurate听use of听sources, and work product听that听meets听fiduciary-grade听standards and is usable in practice.

No capability is considered ready until it听demonstrates听improvement against that standard.听Progress is measured through real-world performance, evaluated by the attorneys best positioned to judge it.

What听we鈥檙e听seeing so far

In practice, we are seeing a consistent gap between how systems听perform on听traditional benchmarks and how they听perform on听real legal tasks.听Systems听optimized听for general-purpose benchmarks often struggle when evaluated against real workflows, revealing gaps in completeness, source fidelity, and multi-step reasoning that are not visible in听standard听benchmark听results.

When evaluation shifts from task-level performance to the workflow level, the bar changes.听What counts as good changes and which systems actually meet that bar changes as听well.

More detailed findings will be shared as听CoCoBench听continues to evolve. The direction is clear. Evaluating AI at the task level changes not only how performance is measured, but what needs to be built.

In the next post in this series,听we鈥檒l听share what happens when you apply this standard in practice, and how different approaches to legal AI perform when evaluated against real legal work.听

Building what听comes next

The next generation of听CoCounsel听Legal, currently in beta, is being built on this foundation. The focus is not on isolated capabilities. It is helping attorneys complete their work reliably,听efficiently, and to a听fiduciary-grade听standard.

As AI systems take on more of that work, how they are evaluated becomes as important as what they can do, because without the right standard, progress can be overstated.

Because in legal work,听almost right听is not good enough.

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April鈥檚 CoCounsel Legal Releases /en-us/posts/innovation/aprils-cocounsel-legal-releases/ Fri, 01 May 2026 17:18:15 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70713 April brings transformative enhancements to CoCounsel Legal that empower legal professionals to work smarter, faster, and with greater precision. This month鈥檚 releases focus on streamlining workflows, expanding research capabilities, and connecting legal teams to the tools they rely on daily. The innovations underscore our commitment to: Agentic AI grounded in deep legal听expertise, capabilities rooted in your own knowledge and听workflows, and听built to elevate the way modern legal teams听operate.

Agentic AI, Grounded in Expertise

Help us shape the next generation of CoCounsel Legal

Earlier in April we announced the next generation of CoCounsel Legal, now available in Beta. Built from the ground up, it听delivers on听the vision we set out from the start: an AI companion that works alongside lawyers through every task and every stage of a matter, grounded in the trusted sources of knowledge they rely on.

We鈥檙e听inviting customers to help shape what CoCounsel Legal becomes 鈥 an AI that works at the level of a senior associate, built with Anthropic听cutting-edge听technology, engineered for legal work with authority and verification at its core.

We are excited to put the next generation of CoCounsel Legal in the hands of more customers as the year progresses.听!

Additional Sources in Deep Research听

Deep Research reports听in Canada听now include听additional听sources that help further explore the legal question and provide logical pathways to continue the research process. A new section provides sources that, although not cited directly in the report, may provide further, helpful context听to听your question. This added material provides greater depth and perspective to support research, giving users more pathways to听validate听findings and expand their understanding of complex legal issues.

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Built for How You Work

Contract Policy Compliance Enhancement: Obligation Extraction

Contract Policy Compliance听now听enables听uploading regulations and documents for a quick compliance check. Customers can now skip the manual entry of their policies by uploading a file, accelerating the compliance review听process听and reducing the time spent on repetitive data entry tasks.


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Westlaw Content Source Added to Knowledge Search

Now, users听have the ability听to听search听U.S.听Westlaw cases inside Knowledge Search and use them instantly in CoCounsel听Legal听workflows鈥攏o tool-switching听required. Users can search听U.S.听Westlaw cases alongside their DMS content, intranet听content, Practical Law, or other sources.听Upload cases听directly听into chat or听your听databases for further case analysis or to continue a workflow, making legal research more efficient and comprehensive.


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Tabular Analysis Enhancements

Manually edit cell values and add your own custom columns directly within a table to apply your own judgment, add context, and shape the output so it鈥檚 ready for the next step in your workflow. Review flags help you prioritize your focus by automatically highlighting extracted answers in the table that require a closer look due to ambiguity or nuance in the source document. It helps you prioritize the responses that require your human expertise review while trusting your final results. Download a table with applied filters directly into Excel, preserving your work in CoCounsel Legal听without resetting those filters in a separate spreadsheet. Filter table results by data type to quickly narrow down and focus on the most critical information within the table. These tabular analysis enhancements offer the user more control over their tables, streamlining their workflow from analysis to action.


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Companies Search听

A new search form on the Westlaw UK cases page searches for company-specific content across Cases,听Dockets, and听Pending Actions听that听helps听users听uncover company-related litigation more efficiently听and from听one place. This gives users a broader and more connected view of a company鈥檚 dispute landscape, improving research speed, confidence, and decision-making.


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Concise Answer

Now, users听in Canada听have the听option for a concise answer听when using听Deep Research on Westlaw Advantage听that听will run in 2 minutes or less.听This provides users听with听more flexibility in how they use Deep Research听and can opt for a听concise answer听in听instances where a quick, straightforward answer is needed over an entire report.


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Sharing and Saving Deep Research Reports (Canada)

Within a Deep Research report,听users can now copy a link to share the report with colleagues or save it to a folder in Westlaw for easy access later.听Quickly and seamlessly share听Deep Research to streamline听knowledge sharing with听your听teams.听


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Explore These New CoCounsel Legal Features Today

Sign in to CoCounsel Legal today to enhance the speed and effectiveness of your research, analysis, and document review workflows. Or explore training options at the听听site.

To keep up to date on CoCounsel听Legal听new enhancements, sign up for the听听today.

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抖阴成年 honored as Stevie Award winner听for听CoCounsel听Tax & Audit听听 /en-us/posts/innovation/thomson-reuters-honored-as-stevie-award-winner-for-cocounsel-tax-and-audit/ Thu, 23 Apr 2026 13:21:15 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70644 抖阴成年,听a global content and technology company,听has been听named the winner of a Bronze Stevie Award in the 鈥楤est AI-Powered Product or Service鈥 category in the听.听

The accolade, announced on April 23,听2026,听is awarded to 抖阴成年 for听This purpose-built agentic AI platform is designed for professionals who prioritize accuracy, accountability, and trust.

Built for fiduciary-grade AI

Since its launch in March 2025,听听has been adopted by firms of听all sizes across the听United States,听with听users reporting time savings of听32% per task. The solution听draws on听Thomson听Reuters Checkpoint expert-authored听content, as well as primary sources including the IRS, FASB, GASB, AICPA, and IFRS, with every answer cited and defensible.听

Judges praised听听for听demonstrating听鈥渟trong innovation听in enterprise AI by delivering听an agentic AI platform that integrates research, analysis, and workflow automation into a secure,听authoritative听environment听for accounting听professionals.鈥澨齇thers听highlighted听its听鈥渟trong enterprise credibility and clear positioning in a regulated domain,鈥澨齛nd its听鈥渋ntriguing use of AI to complement human work in a notoriously complex field.鈥

鈥淐oCounsel听Tax & Audit was built to solve real problems for real professionals, and this recognition is a testament to the transformative work our team has done to reimagine what’s possible for tax and accounting professionals,鈥澨齭aid , President, Tax & Accounting Professionals, 抖阴成年.听鈥I’m proud of the meaningful, measurable impact we’re delivering for thousands of firms across the country.鈥

More than 3,700 nominations from organizations of all sizes and industries were submitted this year for consideration. More than 230 professionals worldwide participating in the judging process to select this year’s Stevie Award winners.

鈥淥rganizations across the United States continue to set a high standard for innovation and performance,鈥澨齭aid听Maggie Miller,听Stevie Awards President.听鈥淭he breadth and quality of nominations submitted to the 2026 American Business Awards reflect a dynamic and competitive business environment, where organizations are finding new ways to drive growth, deliver value, and make an impact.鈥

Recognition beyond the Stevie Award

The Stevie听Award听follows听,听which听recently highlighted 抖阴成年 as one of the vendors most visibly shaping the agentic AI conversation in the tax industry. The听scale of听CoCounsel’s听adoption and its integration across the broader 抖阴成年 stack听are听cited听as meaningful competitive differentiators in its 鈥楢gentic AI Tax Race鈥 series.听

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CoCounsel Legal 鈥 Reimagined /en-us/posts/innovation/cocounsel-legal-reimagined/ Mon, 20 Apr 2026 14:33:43 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70484 When we first built CoCounsel, our north star was accuracy and reliability 鈥 delivering carefully controlled, structured workflows attorneys could trust. That foundation remains unchanged. But our long-term vision was always bigger. Recent advances in agentic AI now makes it possible to combine flexibility and accuracy, fundamentally expanding what legal AI can do.

Today, we’re announcing the next generation of CoCounsel Legal, now available in Beta. Built from the ground up, it delivers on the vision we set out from the start: an AI companion that works alongside lawyers through every task and every stage of a matter, grounded in the trusted sources of knowledge they rely on.


Built on the most advanced AI, and engineered for how legal work actually gets done

Built on Anthropic’s Claude Agent SDK, the next generation of CoCounsel Legal is a unified agentic platform that plans, selects tools, retrieves authoritative content, and adapts mid-workflow just as a senior associate would, not a first-year waiting for the next instruction. Critically, the lawyer remains in control鈥攁ble to see the agent鈥檚 reasoning as it unfolds, step in to redirect its approach, challenge its assumptions, and probe whether alternative angles have been considered.

CoCounsel Legal doesn鈥檛 reason from the web 鈥 it鈥檚 built with Westlaw and Practical Law content and tools natively embedded. Different by design, the technology and the sources are built as one system, making defensibility part of the architecture rather than a feature. As a result, when CoCounsel Legal produces a deal term sheet, contract, or litigation strategy memo, every step of its reasoning is grounded in authoritative legal sources, guided by 35 million West Key Number classifications and 3.9 million Precision Research attributes, and fully transparent through verifiable Practical Law resources and Westlaw citations. Developed and evaluated by practicing-attorney editors working alongside top AI data scientists, the breakthrough isn鈥檛 simply faster task completion 鈥 it鈥檚 the ability to produce complex work product across the many decision points of a legal matter, moving beyond task execution to true legal reasoning.

Our leading evaluation framework encodes quality at each step. This means before any capability ships; we measure it. Licensed attorneys, including our Practical Law editors, define what the correct output looks like for each task type. Every new capability must demonstrate measurable improvement against that benchmark before it reaches production. The framework evaluates not just final outputs, but the full chain of reasoning that produced them, because an agent that arrives at the right answer through flawed reasoning cannot be trusted to do so consistently.

And we’ve gone further to protect the integrity of that reasoning, with patent-pending tools for citation integrity and output verification:

  • Verification and grounding as system primitives. Authoritative retrieval, explicit source handling, and verifiable citation flows are product infrastructure -not post-processing or marketing language.
  • Patent-pending link integrity.听Our patent pending citation ledger architecture tracks every source the agent brings into context and the specific passages it reads.

This is ; outputs grounded in authoritative content and customer context – making verification part of the system鈥檚 architecture rather than an afterthought. In a profession where a single missed citation can cost a client their case, defensibility isn’t a nice-to-have. It’s the whole point. In a profession where a single missed citation can cost a client their case, defensibility isn’t a nice-to-have. It’s the whole point.

What our customers are telling us

The feedback we’re hearing from customers reflects this.

Brooke Conkle, partner in Consumer Financial Services at Troutman Pepper Locke, asked CoCounsel Legal a broad question about recent TCPA developments across two circuits and the solution “immediately zeroed in on the precise ascertainability nuances” between them, the kind of careful parsing that typically requires significant time and research. Her conclusion: “The underlying legal analysis genuinely blew me away and made me rethink what is possible with AI in complex litigation work.”

That’s not the response of someone who found a faster tool. That’s the response of someone who found a different kind of tool.

Andrew Medeiros, managing director of Innovation at Troutman Pepper Locke, captures something I think is fundamental to why this matters: “Lawyers don’t want to just operate software, and that’s not what great AI should do.” What he’s seeing is that CoCounsel Legal keeps lawyers in the analytical mindset they were trained for, going back and forth, challenging answers and steering the work.

He added: 鈥淭he next generation of CoCounsel Legal seems to be a total game changer as听we’ve听introduced it to litigation and transactional attorneys. It’s meeting them within their workflows, allowing them to ask plain language questions and then see the step-by-step approach that CoCounsel [Legal] takes to help them draft the document relying upon Westlaw Deep Research and the Practical Law guidance.鈥

The AI Knowledge Management Department at Morgan Lewis, shared, “We were really impressed with the enhancements to the CoCounsel Legal platform. In our evaluation, it demonstrated strong capabilities in supporting efficient document drafting and in addressing gaps in information, such as filing party details, with both speed and accuracy when prompted. The outputs were well-structured and immediately usable, and the overall workflow was intuitive and easy to navigate. Performance was consistently fast. We are really looking forward to what鈥檚 next!”

Why we’re launching this as a beta, and building in public

Just as important as what we鈥檙e building is how we鈥檙e introducing it to customers.

We are deliberately launching the next generation of CoCounsel Legal as a beta, with a clear commitment to building in public and in partnership with our customers. This beta includes leading law firms such as Troutman Pepper Locke, Morgan Lewis, Carlton Fields, and Caplin & Drysdale, as well as four large enterprise customers. As we move through successive beta waves ahead of general availability later this year, we鈥檙e putting the solution in the hands of real lawyers working on real matters 鈥 listening closely to where it earns confidence, where it doesn鈥檛, and incorporating that feedback directly into how the product evolves.

We鈥檙e inviting customers to help shape what CoCounsel Legal becomes 鈥 an AI that works at the level of a senior associate, built with Anthropic with cutting edge technology, engineers for legal work with authority and verification at its core.

This reflects a core belief I hold: the solution itself should be the argument. The strongest validation won鈥檛 come from launch announcements or benchmarks alone, but from sustained use 鈥 when lawyers choose to rely on the product because it holds up under real professional accountability.

Today鈥檚 beta is just the beginning. I鈥檓 excited to put the next generation of CoCounsel Legal in the hands of more customers as the year progresses.

I encourage you to explore how it works.

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