AI Archives - 成人VR视频 Institute https://blogs.thomsonreuters.com/en-us/innovation-topics/ai/ 成人VR视频 Institute is a blog from 成人VR视频, the intelligence, technology and human expertise you need to find trusted answers. Tue, 09 Jun 2026 02:04:24 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.3 400% ROI in Three Years: The Business Case for AI in the Modern Law Firm /en-us/posts/innovation/400-roi-in-three-years-the-business-case-for-ai-in-the-modern-law-firm/ Mon, 08 Jun 2026 08:30:46 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71237 After three years of promises about AI鈥檚 potential to transform the practice of law, a into legal technology, and widespread speculation about where AI will drive the most value, most law firms have had their fill of splashy product demos and new proofs of concept. They want to know what they will get in return for their investments in AI. That means more than just baseline efficiency improvements and cost-savings. They want to understand how AI will help them grow.

Now, we鈥檝e got the answer 鈥 by the numbers. 成人VR视频 recently commissioned Forrester Consulting to conduct a 鈩 study to examine the potential return on investment (ROI)law firms can realize by deploying CoCounsel Legal, our AI solution, which brings together legal research, essential workflow automation, intelligent document search and AI-powered legal assistance in a single platform.

Real-World Scenarios, Concrete Results

To produce the analysis, researchers conducted detailed interviews with senior law firm decision-makers who鈥檝e been using CoCounsel Legal for the past several months to understand exactly how they are working with AI inside their firms, what the real-world impacts have been on their business, and the bottom-line costs and benefits linked to their investments in AI. The results of those interviews were then combined to create a single composite organization 鈥 a multi-practice law firm with 500 attorneys 鈥 and financial impacts were extrapolated over a three-year period.

The research puts some hard numbers behind a value proposition that, until now, has been hard to quantify. It answers the critical question: How exactly are AI-driven efficiency gains creating new growth opportunities for law firms?

Following are some of the key findings for the composite organization:

  • Return on investment: 400%
    The headline finding of the analysis is that the total ROI of the composite law firm investment in CoCounsel was 400%, meaning the return after three years, minus costs involved with acquiring the technology, onboarding, and training staff, is five times greater than the initial investment. In this example, that translates to a total of $18.3 million in total value over three years.
  • Incremental revenue from increased matter capacity: $20.3 million
    Contrary to much of the recent rhetoric around professional AI adoption, the lion鈥檚 share of that value does not come from reduced headcount or productivity gains. While those are factors, the real value CoCounsel Legal delivers is the ability to take on a greater number of matters concurrently by reducing the time required for research, document review, and matter ramp-up. As a result, the composite organization increased attorney matter capacity by 25% without adding headcount, allowing the firm to accept additional work from existing clients and pursue new matters.
  • Productivity gains within core legal workflows: $1.7M
    Productivity, of course, is improved with AI, but the interesting finding in the Forrester analysis is that those productivity gains are concentrated in specific law firm workflows. Based on the analysis, attorneys spend less time on repetitive, low-value tasks such as document review, legal research, and drafting, which means CoCounsel is reducing nonbillable time and lowering write-downs on existing matters.

In addition to the quantitative benefits, the research also found several qualitative examples where incorporating CoCounsel into day-to-day tasks helped to improve both the quality of work and quality of life for the firms鈥 attorneys, such as the following:

  • Improved quality and consistency of legal work product
    Attorneys reported that AI-generated summaries, research, and drafts are more reliable and thorough than traditional manual approaches, boosting confidence in the work product, cutting down on partner oversight, and reducing the chance that critical facts or arguments slip through the cracks.
  • Greater focus on high-value legal judgment and client strategy
    By reducing time spent searching for information and compiling relevant case law, CoCounsel Legal allows attorneys to devote more effort to strategic analysis, advocacy, and client advisory work, enhancing perceived client value.
  • Improved attorney experience and reduced burnout
    The fact that CoCounsel Legal allows attorneys to complete lower-value, repetitive tasks more quickly, while freeing up time to focus on more strategic work, improves day-to-day attorney experience and work-life balance, particularly for junior attorneys handling document-heavy matters.

Reclaiming the Work That Matters in Law

While the intent of the analysis was to deliver a definitive, by-the-numbers calculation of what kind of financial return law firms can expect from their investments in AI, the results revealed much more detail about the role AI is already playing in law firms, today. Importantly, it shines a spotlight on the fact that AI is having an accretive effect on the firms that have embraced it. Put simply, it is helping firms do more work better, ultimately helping them create more capacity and new opportunities for growth.

That鈥檚 a fundamental shift from the mainstream narrative on AI, which has often been cast as a productivity and cost-reduction tool. That鈥檚 really only a small part of the story. When the right AI tools are deployed effectively, they are removing points of friction and helping attorneys reclaim the work that matters. Importantly, they are also creating significant new growth channels along the way.

to read the full analysis.

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CoCounsel Legal Canada is now available: a new standard for Canadian legal practice /en-us/posts/innovation/cocounsel-legal-canada-is-now-available/ Mon, 01 Jun 2026 12:04:23 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=71095 Canadian legal professionals are under growing pressure to do more with less, handling increasingly complex matters across multiple听jurisdictions, meeting rising client expectations, and managing larger volumes of documentation.听Finding an AI听solution听they can trust with high-stakes legal work is essential to their practice.

was听built for听that听purpose.

Introducing听CoCounsel听Legal Canada

CoCounsel听Legal Canada is the only comprehensive AI solution for Canadian legal professionals that combines advanced AI capabilities with the authoritative depth of Westlaw content and the applied guidance of Practical Law, in a single integrated solution built for the way legal professionals work. Where other tools address parts of the legal workflow,听CoCounsel听Legal Canada is built to handle the full span of it. The result is faster, more听confident听legal work across research, document analysis, drafting, and organizational听know-how.

Here is what that looks like in practice:

  • Research that produces work听product.听Canadian legal professionals have had access to Deep Research on Westlaw Advantage, grounded in authoritative Westlaw content. CoCounsel Legal Canada takes that further. Through CoCounsel Legal Canada, Westlaw and Practical Law now are combined into a single query and response, surfacing answers for the user from both premium content sources. Westlaw鈥檚 legal authority and Practical Law鈥檚 applied, expert-created guidance surfaces the law and how to use it, moving from question to strategy to execution in a single workflow.听
  • Document analysis at听genuine听scale.听Tabular analysis allows legal teams to work through large volumes of documents in ways that weren鈥檛 previously feasible without significant resource commitment. Whether the task is due diligence, disclosure review, compliance assessment, or privilege review, CoCounsel Legal Canada surfaces risks across multiple issues simultaneously, links findings to source documents, and generates draft reports. The results are designed to be reviewed and challenged, because that is how legal work functions.
  • Drafting within existing environments.听Enhanced drafting within Microsoft Word allows lawyers to produce high-quality first drafts without leaving the tools they already use, drawing on Practical Law content and their own organizational precedents. The goal is not to replace professional judgment. It is to compress the distance between instruction and a verified, defensible final draft.
  • An expert library.听Access expert-created prompts and create custom prompts designed to help legal professionals get started faster and work with greater confidence. The library accelerates AI adoption across an organization while codifying best practices, so teams can build capability consistently rather than starting from scratch on every matter.

CoCounsel听Legal Canada integrates with Microsoft 365, leading document management systems, and HighQ, working within the infrastructure Canadian legal practices have already built rather than requiring parallel workflows or new platforms.听

Because the work of legal professionals doesn鈥檛 stand still, neither does CoCounsel Legal Canada. Looking further ahead, 成人VR视频 will continue to build on its foundation, introducing additional agentic drafting capabilities, ways to enable more efficient lawyer verification of outputs, and next-gen capabilities that respond to a plain-language question by forming a theory and executing a plan at the level of a senior associate, drawing on Westlaw, Practical Law, and firm content throughout the workflow.


“Lawyers don’t want to just operate software, and that’s not what听great听AI should do.听CoCounsel听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,听they’re听not wasting time second-guessing the results.听We’re听seeing adoption from associates to partners across every practice area. When it spreads that quickly, the experience just works.”
鈥 Andrew M. Medeiros, Managing Director of Innovation, Troutman Pepper Locke LLP听


CoCounsel听Legal Canada is built to the standard legal work demands

Powerful capabilities matter only if professionals can trust the results they produce. Legal work carries liability. Outputs inform advice. Advice affects outcomes. In that environment, 鈥渁lmost right鈥 is not a workable standard.

成人VR视频 uses the term Fiduciary-Grade AI鈩to describe what AI must be听in order to听function reliably in high-stakes professional environments, and it is the architectural foundation of听CoCounsel听Legal Canada.听

It means outputs grounded in authoritative, curated content, not the open internet. It means privacy and security built into the system鈥檚 architecture, not layered on as policy. It means transparent, traceable reasoning that a lawyer, client, court, or regulator can examine and challenge. And it means the continuous involvement of credentialed subject-matter experts. 成人VR视频 employs thousands of lawyer editors whose work is not incidental to the product鈥檚 reliability. It is the product鈥檚 reliability.


鈥淭he reality is from what听we鈥檙e听seeing out听there,听it鈥檚听not a fair fight right now.听CoCounsel听nailed it in terms of the user interface and making it easy for even non-technical people like me to use.鈥
鈥 Ian Hull, Co-Founding Partner, Hull & Hull LLP听


The practices built today define the profession tomorrow

The decisions being made now (the tools adopted, the workflows built, the institutional knowledge developed around how to deploy AI effectively) are the foundations of what Canadian legal practice looks like on the other side of this transition. Getting there successfully means choosing AI built for professional work, not just productivity, and investing in the workflow integration that turns capability into听a competitive听advantage.

Canada has something valuable to contribute to the global conversation about what responsible AI adoption in regulated professions should look like. A professional culture built on precision, accountability, and trust is not an obstacle to AI adoption. It is the foundation for doing it right. The legal profession has always been defined by the trust placed in it. The practices that move deliberately now will be the ones defining what excellent Canadian legal work looks like in the years ahead.

CoCounsel听Legal Canada is available now, and听we鈥檙e听proud to bring it to the professionals who set that standard.

Ready to see听CoCounsel听Legal Canada in action?听.

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Crowe chooses 成人VR视频 Additive to transform unstructured K-1 and other tax data to improve speed, accuracy, and client service /en-us/posts/innovation/crowe-llp-chooses-thomson-reuters-additive/ Tue, 19 May 2026 12:00:50 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70977 As firms across the tax profession navigate rising complexity, tighter deadlines, and growing demand for efficiency, is investing in AI technology to modernize one of the most persistent challenges in tax work: transforming unstructured Schedule K-1 data into structured, usable information. By adopting , Crowe is advancing a broader strategy to reduce manual effort, improve workflow consistency, and create more capacity for analysis and judgment, while delivering faster, accurate insights to clients.

A 成人VR视频 customer, Crowe is one of the largest public accounting and consulting firms in the United States. The firm’s decision to add Additive to its technology stack reflects both an immediate opportunity to enhance K-1 processing and a larger commitment to building a more connected, data-driven tax operation supported by modern AI tools.

For tax professionals, the challenge of ingesting and processing K-1 documents is often highly manual, time-intensive, and dependent on spreadsheet-based workflows that can slow down downstream processes during compressed compliance cycles. Additive addresses that challenge by using a GenAI-native platform to ingest and structure data from complex K-1 documents efficiently and at scale. That structured output then feeds into Crowe’s downstream partnership calculation engines and connects with other solutions across the firm’s technology ecosystem, including .

Before making its decision, Crowe conducted a rigorous cross-functional pilot of Additive across its tax practice, bringing in specialists from international, private equity, state and local, and global and high-net-worth individual tax services. The pilot helped validate not only the platform’s ability to automate complex data extraction, but also its potential to improve the quality, speed, and consistency of service delivery across multiple tax disciplines.

The biggest advantage of Additive is how it helps us better support our clients,” said Jeffrey Mull, Partner, Crowe. “By turning complex, unstructured K-1 data into usable information more efficiently, our teams can spend less time on manual aggregation and more time focused on analysis, insights, and getting clients the answers they need, especially during compressed compliance timelines.”

For Crowe, the value of Additive extends beyond solving a single workflow issue. As tax practices become more digital and data-intensive, firms need technology that fits into real professional workflows, works across systems, and helps experienced practitioners spend more of their time where expertise matters most. The firm sees modern AI tools as an important part of how it will continue to innovate and deliver strong client outcomes in an increasingly complex environment.

“Having access to the latest technology is essential to how we continue to innovate and deliver value to our clients,” Mull added. “From an AI transformation perspective, modern tools like Additive help us unlock the value of our data in new ways, improving how we analyze information and generate insights. It also reinforces our commitment to innovation, ensuring that we are not only keeping pace with change but actively shaping how technology is used to improve the client experience.”

For 成人VR视频, Crowe’s adoption of Additive reflects a broader shift underway in the profession. Firms are increasingly looking for AI solutions that move beyond experimentation and solve practical operational challenges while strengthening the quality of professional work.

Leading firms are looking for AI solutions that fit into real workflows and deliver measurable impact,” said Erica Butcher, General Manager of Tax, Audit & Accounting Professionals at 成人VR视频. “Crowe鈥檚 adoption of Additive shows how firms can take a focused, practical approach to using AI to improve how work gets done and strengthen client outcomes.”

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Expertise Meets AI: Sterne Kessler and 成人VR视频 Set New Standard for Patent Law /en-us/posts/innovation/expertise-meets-ai-sterne-kessler-and-thomson-reuters-set-new-standard/ Wed, 13 May 2026 10:20:42 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70830 In legal work, the stakes are simply听too听high听for approximation. Legal professionals are accountable听for their听outputs; errors carry real consequences, and being听almost right听is not good enough.听

Nowhere is that truer than in Section 101 patent eligibility, one of the most consequential and frustrating challenges in patent practice today, and the problem that brought and 成人VR视频 together to build something new inside CoCounsel Legal.

Why听Section听101? Why Now?

Section 101 patent eligibility is a question at the center of most听utility听patent disputes today. It is often a decisive factor in patent litigation, and one of the quickest ways to win or lose a case. The legal test asks whether a听technical听invention is the kind of subject matter the patent system protects, meaning it must be more than a general idea and must听represent听a concrete, technical improvement.

In theory, the framework is clear. In practice, it is anything but:

  • Key concepts lack precise definitions, leaving听wide听room听for interpretation.听
  • The analysis is deeply precedent-dependent, and听outcomes hinge on finding the right prior cases among hundreds of fact-specific听decisions.听Missing a key precedent can mean the difference between听a strong argument听and a weak one.

And all of this unfolds under constant pressure. Clients need answers听fast;听matters are often fixed-fee, and the uncertainty is genuinely difficult to explain.

For patent owners seeking to assert a patent, understanding its vulnerability under Section 101 is essential before litigation begins.听For defendants, a fast, reliable eligibility assessment can reveal a path to an early win.听For both sides, the current reality often looks the same: assign a听junior associate to research similar cases, spend hours or sometimes days finding the right precedents, and still wonder whether something important was missed.

This is the kind of problem that demands a fiduciary-grade solution:听one built not听for the average task, but听for the specific, high-stakes reality of patent practice.

Unmatched IP Expertise, Delivered at Scale

The听Patent Claim Eligibility Analyzer听was not built by technologists who then consulted practitioners. It was built with practitioners at the center of every decision 鈥 and with a caliber of technical听expertise听on both sides that distinction shapes everything about what the听Patent Claim Eligibility Analyzer听can do.

成人VR视频 engaged Sterne Kessler through a听forward deployed engineering motion, a model that pairs engineers who combine strong legal backgrounds with deep AI and technical听expertise听and听embeds them directly alongside practitioners.听The Thomson听Reuters听engineering team worked side by side with Sterne Kessler’s IP litigators to deeply understand their workflows, co-build the solution in rapid iterations, and move with听speed and flexibility.听

The result is a听tool听shaped by the kind of tight, trust-based collaboration that only happens when both sides bring genuine depth to the table.

Sterne Kessler brings decades of litigation-tested intellectual property听expertise听to this partnership. The firm worked alongside 成人VR视频’ engineers and editorial teams to translate the way experienced IP听practitioners听approach Section 101 鈥 their analytical frameworks, their precedent instincts, their litigation-proven methodologies 鈥 into a repeatable, scalable workflow now inside听CoCounsel听Legal.

That meant curating听an initial听corpus of approximately 200 highly relevant Federal Circuit Section 101听decisions,听cases selected not by keyword, but by their factual and analytical relevance to the kinds of claims practitioners听encounter听in real matters. 成人VR视频 editorial teams then reviewed and augmented that corpus, applying the same editorial rigor that underpins Westlaw.

The result is a workflow grounded in practitioner intelligence, trusted legal content,听and engineering听鈥 combined at a depth that general-purpose AI听tools simply cannot replicate.

Built听for Real IP Work

The听Patent Claim Eligibility Analyzer听reflects how IP work is听actually done.

How the听Patent Claim Eligibility Analyzer听Works

  1. Enter a patent claim: Select the听Patent Claim Eligibility Analyzer in听CoCounsel听Legal and paste a claim directly into the chat.
  2. CoCounsel applies the same Step 1 / Step 2 logic that courts use:听The听Patent Claim Eligibility Analyzer听structures the analysis the way judges do, first asking whether the claim is directed to a general or abstract idea, then whether it adds a meaningful technical improvement.
  3. CoCounsel finds the most relevant court decisions for that specific claim: Using semantic analysis rather than keyword search,听the听Patent Claim Eligibility Analyzer听matches the claim to prior Section 101 cases with similar fact patterns, so practitioners surface the right cases, not just the most听frequently听cited ones.
  4. It draws from a curated corpus built by Sterne Kessler and 成人VR视频 editors: The workflow leverages an initial set of approximately 200 highly relevant Section 101 cases, curated by Sterne Kessler and reviewed and augmented by 成人VR视频 editorial teams.
  5. It explains why each cited case matters: Rather than listing citations, CoCounsel provides reasoning that connects the claim’s language to the reasoning and outcomes in those cases, giving practitioners a litigation-ready foundation, not just a list of results.
  6. Citations link directly to Westlaw: Every source is verifiable. Practitioners can validate citations and continue deeper research as needed, maintaining full accountability for the final work product.

The听Patent Claim Eligibility Analyzer听surfaces both binding and persuasive authority when factually relevant, reflecting how Section 101 arguments are听actually made听in practice.听The goal is not to replace attorney judgment. It is to give attorneys a faster, more consistent, more defensible foundation from which to exercise it, so less time is spent on the research听phase听and more time is spent on strategy, client counsel, and the work that requires human听expertise.

For patent owners, that means a stronger, faster assessment of a patent’s eligibility risk before litigation begins.听For defendants, it means a rapid, precedent-backed read on Section 101 positions from the outset of a case.

For both, it means a head start on brief writing, a more consistent work product across matters and experience levels, and greater confidence that no key precedent has been missed.

A New Model听for Legal Product Innovation

Beyond the听Patent Claim Eligibility Analyzer听itself, this partnership听represents听something worth examining at a higher level: a fundamentally different model for how legal AI products can and should be built.

While听building useful legal technology has always required thinking like a lawyer,听the traditional approach to legal technology development听across the industry听follows a familiar pattern. Technologists听identify听a problem, build a solution, and bring it to听market. Practitioners are consulted听but they are听largely recipients听of the finished product.听Expertise听flows in one direction.

This partnership inverts that model. Sterne Kessler did not simply advise on the听Patent Claim Eligibility Analyzer, they co-developed it, inspired by the firm’s practical methodologies for Section 101.

What began as a co-development initiative has evolved into a scalable market offering available to patent practitioners across CoCounsel Legal. In doing so, it has demonstrated what is possible when practitioners and technologists collaborate.

That model also opens new possibilities听for how law firms think about their own听expertise. Firms are听evolving听the ways they create value from their knowledge, and this partnership is an example of what it looks like when a firm’s internal intelligence becomes a repeatable, scalable offering.

CoCounsel听Legal’s architecture听is听designed to enable exactly this kind of听forward-deployed, domain-specific innovation, making it possible to translate specialized听expertise听into scalable, trusted AI experiences. The听Patent Claim Eligibility Analyzer听is the first proof point.

Additional co-developed workflows are already in development, with the ambition of bringing the same practitioner-built, precedent-grounded approach to other complex areas of patent law, signaling what is possible across specialized legal domains where expertise is the differentiator and where the stakes are听too听high听for approximation.

The Standard the Profession Deserves

What makes the听Patent Claim Eligibility Analyzer听meaningful is not just what it does. It is the standard it was built to. Every output is grounded in a curated, editorially reviewed body of case law. Every citation links to a verifiable Westlaw source.听The analytical structure mirrors the reasoning courts听actually apply.听And the workflow is explicitly designed to support attorney judgment, not substitute for it.

That is听fiduciary-grade AI. It is听not a general-purpose听tool听adapted听for legal work, but a purpose-built solution grounded in authoritative content, shaped by the听expertise听of practitioners who听perform听this work at the highest level, and accountable to the professional standards that patent practice demands.

The 成人VR视频 and Sterne Kessler partnership was built on that standard. And as the collaboration deepens and expands, it is the standard we听will听keep.

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From Access to Habit: How Womble Bond Dickinson Made AI Part of Every Lawyer’s Day /en-us/posts/innovation/from-access-to-habit-how-womble-bond-dickinson-made-ai-part-of-every-lawyers-day/ Wed, 06 May 2026 14:36:48 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70798 AI is reshaping the legal industry. But across law firms of every size, the gap between deploying an AI solution and embedding it into daily practice听remains听wide. Access is the easy part.听Habit is听the hard part.听Womble Bond Dickinson, one of the world’s leading international law firms, didn’t just close that gap. 听for how to do it right, beginning with all听7听of their听staffed听UK offices.

Womble Bond Dickinson UK鈥檚 early adoption of CoCounsel Legal, 成人VR视频 advanced fiduciary-grade AI platform for legal professionals, has become a case study in what firmwide AI integration looks like. It required vision, discipline, creative leadership, and a partnership built on radical candor.

Setting the Stage

CoCounsel听Legal integrates advanced AI with Westlaw and Practical Law content, as well as a firm’s own knowledge and tools, to support the full breadth of legal work鈥攊ncluding research, document analysis, and drafting鈥攊n a single platform. When Womble Bond Dickinson听committed听to听early adoption, the platform was still in development.听Which听was precisely the point.

What began as an evaluation of the original听CoCounsel听product evolved into a sweeping, full-scale early adoption initiative, spanning 7 of Womble Bond Dickinson’s UK offices and all 650听timekeepers (including 457 qualified lawyers)听working in听them. The goal was not simply to make the tool available. It was to make it indispensable, transforming AI use from an occasional experiment into a daily professional habit.

Sam Dixon, Chief Innovation Officer and Partner, led the charge. His vision was anchored in a clear strategic ambition听the firm already had in place: a self-service innovation model in which every lawyer across the business has innovation as part of their role.听CoCounsel听Legal, with its intuitive interface and enterprise-wide applicability, was the right tool at the right moment to听help听make that vision real.

A Partnership Built on Candor

What set this initiative apart from a conventional technology rollout was the nature of the relationship between Womble Bond Dickinson and 成人VR视频. It was a co-development partnership defined by openness, mutual accountability, and a shared commitment to getting it right.

From the outset, both teams committed to saying the quiet parts out loud. When something wasn’t working, they said so. When feedback was uncomfortable, it was shared anyway. Womble Bond Dickinson stress-tested CoCounsel Legal’s capabilities, challenged its assumptions, and provided structured, direct feedback throughout the development process. 成人VR视频 listened, iterated, and acted. As a result, the firm鈥檚 input directly shaped the product before launch, a level of influence that reflects genuine partnership, not merely consultation.

That bidirectional feedback loop ran throughout the project. The joint team, spanning Womble Bond Dickinson’s innovation and legal technology functions and 成人VR视频 sales, customer success, and product teams, built in multiple touchpoints for sharing insights, surfacing issues, and refining both the product and the rollout approach. Challenges became collaborative problem-solving moments rather than blockers.

The pilot group itself was carefully constructed to reflect the full diversity of the firm: across practice areas, job roles, seniority levels, technology comfort levels, and demographic backgrounds. This听wasn’t听a pilot of the听willing. It was a deliberate, representative sample designed to surface real-world adoption challenges before the firmwide launch.

Bringing the Whole Firm Along

Rather than relying on emails, slide decks, and vendor-led training sessions, Womble Bond Dickinson took a different approach. Sam Dixon travelled to听each of the firm鈥檚 7听staffed听UK offices听and personally led 35听introduction听and training sessions for听CoCounsel听Legal, a campaign that became affectionately known as “Cocoa with听CoCo.” In the middle of a British summer, he served hot chocolate, sat down with colleagues, and walked them through the platform himself.听

It’s听the听kind of visible, lead-by-example听behavior听that research shows听makes听a real difference.听According to the听2025 成人VR视频 Future of Professionals Report,听professionals who agree that leaders in their听organization听consistently lead by example are 1.7x more likely to be experiencing benefits from AI than those who disagree.

The sessions were part of a broader, multimodal training program that included use-case specific meetings, pre-recorded leadership conversations reinforcing responsible use, and one-to-one engagement on the floor. Sam didn’t wait for questions to come to him. He walked the offices, asked people directly whether they had used CoCounsel Legal, and if they hadn’t, asked why not. That kind of visible, personal commitment created a ripple effect across the firm.

The training program also served as a real-time risk management mechanism. Face-to-face conversations surfaced misconceptions early, allowing the team to refine their messaging on the spot. One recurring insight was around Deep Research in Westlaw Advantage, a key capability of CoCounsel Legal that delivers comprehensive legal research in 10 to 15 minutes, the kind of work that might otherwise occupy a lawyer for an entire day.

Results That Speak for Themselves

The impact on the quality and efficiency of legal work听at Womble Bond Dickinson听has been significant.听CoCounsel听Legal is now used regularly across practice areas, supporting work that spans听almost the听full breadth of what lawyers do, from legal research to document analysis to drafting.听

The platform delivers up to 80% efficiency gains on specific tasks, enables junior lawyers to contribute more meaningfully at an earlier career stage, and accelerates client turnaround across the firm.

A Model for the Industry

This initiative has not gone unnoticed. Womble Bond Dickinson and 成人VR视频 were recently听recognized听with the听.

As Sam听Dixon reflected on the decision to commit to early adoption of a product still in development: “It was the vision for the product and where I thought it would go and what I thought its advantages were over competitors. If I didn’t believe in听the听成人VR视频 vision for the product, I couldn’t听have believed听it fit into our vision for the firm’s AI adoption ambitions.”

鈥淲omble Bond Dickinson exemplifies what it means to lead in the AI era. Sam Dixon and his team didn’t just deploy fiduciary-grade AI, they embedded it into the culture of the firm, making it a natural part of how every lawyer works. That kind of leadership is what separates firms that experiment with AI from those that truly use it to transform how they work,鈥 said Raghu Ramanathan, President of Legal Professionals, 成人VR视频.

The听trust听between Womble Bond Dickinson and 成人VR视频, and trust in the product, has beenearned through transparency, delivered through partnership, and validated through results. That is the real story here. Womble Bond Dickinson didn’t wait for AI to be perfect before committing. They helped make it better. And in doing so, they built something more valuable than a technology deployment: a firm-wide culture in which AI is not a novelty, but a natural part of how every lawyer works.

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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 成人VR视频,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 成人VR视频 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 成人VR视频 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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成人VR视频 Takes Home Four Awards at ILTA Evolve 2026 /en-us/posts/innovation/thomson-reuters-takes-home-four-awards-at-ilta-evolve-2026/ Mon, 04 May 2026 13:08:54 +0000 https://blogs.thomsonreuters.com/en-us/?post_type=innovation_post&p=70707 At ILTA Evolve 2026, the International Legal Technology Association (ILTA) recognized 成人VR视频 with听four听awards. The company took home the Solution Provider of the Year Award and the Trailblazer Award, both for听CoCounsel听Legal,听the听成人VR视频听AI legal platform.听

Additionally,听Rawia Ashraf, Head of Product,听CoCounsel听Transactional & GCOs,听was named听one of ILTA’s 2026 Influential Women in Legal Tech honorees, recognition that reflects her contributions at the intersection of AI and legal work.听Samantha Delaney, Senior Solution Consultant, AI Specialist听was also recognized, winning听the Young Professionals to Watch Award.

Solution Provider of the Year

The Solution Provider of the Year Award recognizes technology providers that have demonstrated exceptional partnership and transformational impact within the legal industry. 成人VR视频 earned this recognition for CoCounsel Legal, which has redefined what fiduciary-grade AI looks like in legal practice.

CoCounsel听Legal brings together legal research from Westlaw, practical guidance from Practical Law, and AI-powered document analysis and drafting, all within a single platform. One million professionals across 107 countries and territories have access to听CoCounsel, the foundational technology underpinning听CoCounsel听Legal.听

The impact CoCounsel Legal is having across the legal industry speaks for itself. Legal professionals report dramatic efficiency gains, with tasks that once took eight or nine hours now completed in one to two hours.听The quality of work has improved too, with lawyers gaining confidence in the thoroughness and accuracy of听its听outputs.

There have been听big benefits, given CoCounsel Legal can complete full workflows.

Firms are taking on more clients, expanding into new practice areas, and competing more effectively against larger, better-resourced competitors.听Across the board,听CoCounsel听Legal is not just saving time; it is fundamentally changing what legal teams are capable of.

Trailblazer Award

The Trailblazer Award, shared by 成人VR视频 and听, recognized the two organizations’ early adoption initiative as a model for responsible, enterprise-scale AI deployment.

Womble Bond Dickinson is a full-service听international听law firm, and in听2025, they听partnered with 成人VR视频 to roll out听CoCounsel听Legal听to 650听timekeepers (including 457听qualified lawyers)听across all 7 of its听staffed听UK offices, ahead听of its launch to the UK market.听The initiative spanned a rigorous evaluation phase, a strategically constructed pilot group, and a rollout anchored by an executive-led training initiative.

The firm notes that its lawyers are consistently choosing to use听CoCounsel听Legal every month, and that it is delivering real value across the organization.

Rawia Ashraf, Head of Product,听CoCounsel听Transactional & GCOs,听named one of ILTA’s 2026 Influential Women in Legal Tech Honorees

Rawia Ashraf was named one of ILTA’s 2026 Influential Women in Legal Tech honorees, recognition that reflects her broader contributions听to听legal technology.听Rawia听has听been instrumental in accelerating responsible AI adoption and driving听measurable outcomes across the legal industry, and her work on CoCounsel听Legal exemplifies the kind of product innovation the honor is designed to celebrate.

Formerly an听antitrust attorney focusing on civil and criminal antitrust litigation听at Simpson Thacher & Bartlett,听Rawia听joined 成人VR视频 in 2013.听She听was responsible for听leading the integration of听the听$650 million acquisition of听Casetext听into 成人VR视频. Additionally, she led the build and launch of听CoCounsel听Drafting as well as the development of the next generation of听CoCounsel听Legal, now in beta.

Samantha Delaney, Senior Solution Consultant, AI Specialist wins听Young Professionals to Watch Award

Samantha Delaney听won听the Young Professionals听to Watch听Award, which听recognizes听rising young professionals in the legal technology industry.听Her inclusion on this list听is听due听to her听demonstrated听steady growth, strong technical capability, and an insightful approach to supporting her colleagues and customers.

Samantha is currently also听Adjunct Professor of AI and Technology听at听Osgoode听Hall Law School, and prior to joining 成人VR视频听was a Senior Innovation Advisor at Norton Rose Fulbright, driving strategic adoption of emerging technologies across the听firm.

These听awards听reflect Thomson听Reuters听continued commitment to building AI that meets the听highest standards of the legal profession and the people听leading听that work.听This work will continue with the launch of听the听next generation of听CoCounsel听Legal听in September.听听

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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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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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