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 成人VR视频 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 成人VR视频 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 成人VR视频.

Through 成人VR视频 expanding partner ecosystem of legal technology companies and law firm partners, CoCounsel Legal is connected to the tools legal professionals already rely on, from transaction management and case intelligence platforms to enterprise search and specialized practice workflows. This works in both directions: bringing more capabilities into CoCounsel Legal, and embedding CoCounsel Legal capabilities into other solutions, so firms can move faster, work smarter, and deliver better results with connected workflows.听

The outcome is a legal practice that runs the way the practice of law demands: greater speed, sharper insight, and the confidence to deliver.听

A Partner Ecosystem Built on听Shared High听Standards听

Law firms face an overwhelming market of solutions with few reliable ways to evaluate what is trustworthy, what is secure, and what actually belongs in a legal tech stack. 成人VR视频 has done that work. Every partner goes through a rigorous vetting process that evaluates their technology, security controls, commitment to data protection, and alignment with the standards legal professionals rely on.听

The outcome is a shared partner ecosystem where legal professionals have seamless access to the intelligence, tools, and connected workflows they need, without the friction of switching between disconnected systems, and without compromising the standards their profession demands.听

鈥淭he partnerships听we鈥檙e听building around听CoCounsel听Legal reflect how the practice of law听actually works: interconnected,听time鈥憇ensitive, and听outcome鈥慸riven. By integrating intelligence directly into workflows, we help firms move faster and听operate听with greater precision.鈥�

-Steve Assie, General Manager, Global & Large Law Firms, Thomson Reuters

The听Partner Ecosystem听in Action听

听Document Review Inside the Deal Workflow听听

Legal teams rely on transaction management platforms to coordinate the work that moves deals forward: collaboration, transparency, checklists, document organization and version control, deal status monitoring, signature page creation and collection, and generating final closing sets. When document review and analysis happen outside that workflow, teams must move files into separate tools and then bring the results back into the platform. This听adds听friction, delays, and the potential for lost context at the moments when speed and accuracy matter most, particularly in time-sensitive transactions.

DealCloser is a transaction management platform used by law firms and in-house legal teams across a broad range of transaction types, including mergers and acquisitions, banking and finance, real estate, venture capital, private equity, restructuring, and other complex transactions. Through its partnership with 成人VR视频, CoCounsel Legal鈥檚 document review capabilities are now embedded directly within DealCloser, bringing AI-powered review to the full transaction lifecycle. Teams can analyze contracts, amendments, exhibits, and diligence materials without leaving the platform where the deal is being executed 鈥� no manual uploads, no version uncertainty, and no need to reconcile findings across tools.听

: Bringing Firm Knowledge into听CoCounsel听Legal听听

Law firms store years of work product across document management systems, intranets, email archives, and other repositories. Their briefs, memos, negotiated agreements, and templates听contain听valuable institutional knowledge that differentiates them. Yet that information can be difficult to surface and apply quickly, particularly when content is spread across multiple systems.听听

DeepJudge听helps firms realize the full value of that collective knowledge through enterprise search, AI agents and workflows, and governed access controls. Lawyers can rapidly find, analyze, and apply the most relevant information across millions of documents in听iManage, NetDocuments, SharePoint, HighQ, network drives, and many other sources.听听

The partnership between DeepJudge and 成人VR视频 connects this institutional intelligence to CoCounsel Legal. Whether attorneys are working in Microsoft Word, CoCounsel, Westlaw, or Practical Law, they can use DeepJudge to rapidly retrieve and synthesize key language, facts, and precedent from internal documents and work product, making firm knowledge available in CoCounsel Legal for research, analysis, and drafting workflows. Firm precedents and external legal authority are accessible and actionable in the same workflow, with existing permissions and ethical walls carrying through.听

: Practice Management and Legal AI in One Ecosystem听听

Small and mid-sized law firms often have too many disconnected tools. When practice management, document storage, legal research, drafting, billing, and document analysis live in separate systems, lawyers spend time on administrative friction instead of legal work, and lean teams with tight margins feel that cost acutely.听听

Smokeball is a cloud-based practice management platform built for small to mid-sized firms, covering intake, matter management, automatic time capture, billing, and client communications. The combination of听CoCounsel听Legal and Smokeball unites deep legal content and advanced AI with comprehensive practice management, powered by technology that understands both the substance of legal work and the mechanics of running a firm.听听

Smokeball matter documents can now be brought directly into听CoCounsel听Legal in bulk,听eliminating听manual uploads and the听version听confusion that comes with moving files between disconnected systems.听听

The result is a more continuous workflow from matter management to substantive legal work. Attorneys can use CoCounsel Legal to rapidly analyze, draft, and research with their actual matter documents at hand, grounded in authoritative Westlaw and Practical Law content. This is just step one in a joint roadmap creating a unified ecosystem for small to mid-sized firms.

A Law Firm as Co-Developer

The partnership with Sterne, Kessler, Goldstein & Fox, one of the leading intellectual property law firms in the United States, takes a different form. Rather than a product integration, this is a co-development relationship in which the firm’s practitioners worked directly alongside Thomson听Reuters听engineers and editorial teams to build a specialized workflow inside听CoCounsel听Legal.听

The focus is Section听101听patent eligibility, a question central to most utility patent disputes, deeply precedent-dependent, and historically requiring significant associate time with no guarantee the research was complete.听

The resulting Patent Claim Eligibility Analyzer inverts the traditional model of legal technology development: instead of practitioners receiving a finished product built by technologists, Sterne Kessler co-developed it from the start, translating the firm’s own Section 101 methodologies into a scalable workflow now available to patent practitioners across听CoCounsel听Legal.听

: Connecting Case Intelligence to Legal听Strategy听听

Personal injury cases are won or lost on facts, and facts live in unstructured records that take too long to organize and are too easy to get wrong. Medical records, treatment timelines, damages calculations, liens, deposition summaries: plaintiff firms are managing all of it, under pressure, against better-resourced opponents.听

Supio Agent changes the equation at every level. At the case level, it ingests every file, every system, every data source the firm runs on and executes the work: medical chronologies, damages summaries, causation analysis, and case-specific drafts grounded in verified facts. At the portfolio level, it surfaces what’s urgent, what’s behind, and what needs to move. At the firm level, it gives leadership real-time visibility into case quality, intake patterns, and institutional knowledge that previously lived only in attorneys’ heads.听

Deep Research with Westlaw Advantage is available natively inside听Supio听Agent, invoked when legal research is needed, running in parallel, and surfacing findings directly in the workflow.听

The result:听Supio听builds the record, compounds the knowledge, and works with Westlaw to verify the law, delivering defensible work product at a scale no case-level tool can touch.听

A Growing Partner Ecosystem听

Thanks to 成人VR视频 partner Anita, German legal research content is now part of the CoCounsel Legal experience, providing authoritative guidance for Germany-based and international teams. A recent document connector integration with practice management solution Litify creates a fast track from matter files to substantive legal work product. 听

Document storage integrations launched early this year with Box and Dropbox extend that reach further, making it easier for firms to work with their documents wherever they live. And with Outlook search now enabled within CoCounsel Legal, users can simultaneously surface and apply relevant information from their email, Westlaw, Practical Law, and other connected sources, all without leaving the platform.听

The听practice听of law looks different depending on where you sit, from solo and small firm practitioners managing tight margins and lean teams, to large global firms and corporations navigating complex,听high-stakes听matters. The听partner听ecosystem is built to serve that full spectrum, meeting legal professionals where they work with the connected intelligence and seamless听workflows听their practice demands.听

As the听legal听profession’s needs evolve, so听will听the听partner听ecosystem.听For lawyers, that means more capability, more connectivity, and more of the intelligence they need,听wherever their work happens.听

Learn more about CoCounsel Legal

Earlier this month, I watched that shift play out on two stages. First, at Snowflake Summit, I talked about the data foundation powering enterprise AI. Then, at Fortune Brainstorm Tech, I sat with tech-forward leaders from Salesforce, Amgen, Optum, SentinelOne, TrustGuard, and May Mobility, debating where these systems break when the stakes are real.听

Different rooms, different framings. Same conversation.听

The AI market is starting to agree trust is what separates AI that demos well from AI that survives contact with production. Traceable, governed, explainable: the words are everywhere. Trust has become the thing we all nod along to.

But we keep talking about it as a feature. Something you bolt on once the model works. A checkpoint before launch.

And there was one thing few people were willing to say out loud:

Trust is not a feature. It is a bill. And much of the industry is about to discover it never paid for it.

The tax nobody put on the slide

The part that often goes unsaid in the keynotes is that the governed data foundation that makes an AI system defensible takes years to build, costs real money, and produces almost nothing you can put on stage while you are building it. There is no demo for 鈥渨e governed every layer underneath, so the same question never returns two different answers.鈥� Nobody throws a launch event for a semantic layer.

So many companies did not build one. The last few years rewarded the opposite instinct, the one the consumer internet was built on: ship it, watch what breaks, patch it in the next release. Fail fast.听

That reflex produced extraordinary products. It is also precisely the wrong reflex to carry into law, tax, audit, and compliance, where the first failure is not a lesson. It is a brief filed with a citation that does not exist, in front of a judge.

At Snowflake Summit, my colleague Laura Safdie captured it well: you cannot bring AI to a profession you do not understand or transform a workflow you have never done.

For a consumer chatbot, a model that is fluent without being informed may be a tolerable trade. For the lawyer defending an antitrust case, the tax professional signing a multinational filing, or the compliance officer clearing a transaction, 鈥渕ostly right鈥� is not a trade-off. It is malpractice. And 鈥渢he AI did it鈥� has never worked as a defense in a courtroom.

The companies sprinting into agentic AI on top of fragmented data and governance bolted on at the end are not necessarily moving faster than everyone else. They are running up a debt that comes due the first time someone asks them to explain an output and they cannot.

The quiet work is about to pay off

In Aspen, in a room full of hands-on technology leaders, one idea kept coming through clearly: the quiet work is about to pay off.

The model is almost never the thing that breaks first in production. Ownership breaks first. Auditability breaks first. When nobody has defined who owns the output or what happens when it is wrong, the model turns out to be the easy part.

Everyone has access to good models now. The layer underneath is the hard part, and it cannot be acquired in a quarter.

At 成人VR视频, we made that investment before it was fashionable. The work may be unglamorous, but the results are exactly what enterprise AI now requires: a governed semantic model that turned five conflicting answers from five teams into a single source of truth; complex financial analysis that used to take weeks, now completed in seconds; data refresh cycles reduced from roughly a day to near real time; and AI agents that can explore data, surface patterns, and generate analysis because the foundation underneath them is trusted enough to reason on.

Just as important, every AI capability is assessed across regulatory, privacy, security, ethics, and performance risk before it ships. ISO 42001 certification is treated as a continuous discipline, not a press release. And our trusted data estate across tens of thousands of governed tables is why we could show up as a customer with proof, not just intent.

That is the quiet work. And it is the reason we can put AI into the highest-stakes professional work there is and stand behind the answer because it is traceable and auditable.

The next phase rewards a different kind of company

One line from a fellow panelist, Elena Kvochko of TrustGuard, stuck with me: you do not let AI grade its own work. As agents take on more, the volume of output to verify grows faster than any human team can check by hand, which means oversight must be engineered into the system, not promised in a policy after the fact.

That is the real shift underway: from AI that helps with a task to AI that completes an entire workflow inside an environment it can be trusted to operate in. Give it an objective, and it can plan, research, validate, and coordinate across the whole thing, not just answer a question.

The agent who can navigate proprietary knowledge, permissions, and genuine accountability is worth far more than the that writes a confident paragraph.

Enterprises do not run on models. They run on trusted systems. And the layer where work actually gets completed is where trust and accountability live.

So here is the prediction the demos are hiding: the next two years will not be won by whoever has the most impressive model. They will be won by whoever quietly paid the bill: traceability, security, governance, and explainability.

We paid that bill early, on purpose, because the highest-stakes professional work demands it. That is not where the work ends. It is where trusted AI begins.

Now, we鈥檝e got the answer 鈥� by the numbers. 成人VR视频 recently commissioned Forrester Consulting to conduct a 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.

was听built for听that听purpose.听

Introducing听CoCounsel听Legal Canada听

鈥�鈥�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.鈥�听

Here is what that looks like in practice:听

• 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 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.听
• 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.听
• 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.听

鈥�鈥�鈥�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.听鈥�鈥�听

鈥�鈥�鈥�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.鈥�鈥�听

“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听

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.听

鈥�鈥�成人VR视频 uses the term Fiduciary-Grade AI听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.听鈥�听

鈥�鈥�鈥�鈥�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�鈥�鈥�听

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听

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.听

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.听

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.听

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

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.”

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.听

Why听Section听101? Why Now?听

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.听

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

• Key concepts lack precise definitions, leaving听wide听room听for interpretation.听听
• 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.听

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.听

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.听

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.听

Unmatched IP Expertise, Delivered at Scale听

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.听

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.听

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.听

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.听

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.听

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.听

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.听

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.听

A New Model听for Legal Product Innovation听

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.听

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.听

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.听

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.听

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.听

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.听

The Standard the Profession Deserves听

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.听

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.听

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.听

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.听

Setting the Stage听

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.听

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.听

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.听

A Partnership Built on Candor听

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.听

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.听

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.听

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.听

Bringing the Whole Firm Along听

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.听

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.听

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.听

Results That Speak for Themselves听

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.听

A Model for the Industry听

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

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.听

The听trust听between Womble Bond Dickinson and 成人VR视频, and trust in the product, has been听earned 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.听

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.听

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.听

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.听

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.听

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.听

Built for Verification at Every Stage听

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.听

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?听

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.听

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.听听

The Question Every Lawyer Should Be Asking听

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.听

At 成人VR视频,听fiduciary鈥�grade听AI is our standard for how AI should work in听high鈥�stakes 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 subject鈥�matter听experts; and designed to produce transparent outputs that can be verified.听听

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.听

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.