Agentic AI Grounded in Deep Legal Expertise

The next generation of CoCounsel Legal (US)

The next generation of CoCounsel Legal has launched in the U.S. A complete rebuild of CoCounsel Legal, it’s engineered to work at the level of a senior associate, reasoning through legal issues the way an attorney does and grounded in authoritative Westlaw primary law, trusted Practical Law guidance, and your firm’s own knowledge.��Describe a matter in plain language, whether��it’s��contract review, litigation strategy, deal structuring, or sifting thousands of discovery documents, and CoCounsel Legal handles the rest.��It develops the approach, works through each step, and links every citation so you can verify it yourself.����You can give each matter its own workspace, keeping documents, templates, and conversations together. ����It also meets you in the tools you already use, including Microsoft 365 and Claude. Your data always��stays��your firm’s — private, and never used to train models.��This is Fiduciary-Grade AI your firm can stake its reputation on.

Learn more at

Westlaw Brief Builder (US)

A transformation of research and drafting, Westlaw Brief Builder helps litigators move from research and issue analysis to first-draft brief creation while validating authority along the way. It follows a workflow purpose-built for briefs, guiding the drafter through each stage of the process in a way that litigators actually think and work — an organized, connected experience developed and validated by attorneys. Powered by Westlaw Deep Research, KeyCite, and Practical Law — authority no other legal AI can match — it proposes relevant facts, arguments, and supporting authority while keeping lawyers firmly in control of strategy, legal theory, and final decisions. And because output is verified against the law and the facts, then surfaced for review and confirmation, Westlaw Brief Builder delivers briefs not only faster, but briefs you can stand behind.

Global Connected Platform

Firm Document Management Connectors via Syncly (US, UK & Canada)

Admins can now connect CoCounsel Legal directly to a firm’s document management system through new Syncly connectors, including iManage on-prem, iManage Cloud, and SharePoint. Once connected, CoCounsel can access and act on firm content directly, with a connector icon appearing for end users wherever a connection is active — simplifying the ability to bring trusted firm documents into AI-assisted research, analysis, and drafting without leaving the platform.

Expanded CoCounsel Legal MCP with Claude (US)

CoCounsel Legal’s MCP connection with Claude is expanding. What started with Deep Research now extends to research, analysis, and drafting, bringing more of CoCounsel Legal’s fiduciary-grade AI capabilities directly into Claude. Lawyers can describe a matter in plain language inside Claude, and CoCounsel Legal plans the work — reasoning from authoritative Westlaw primary law, trusted Practical Law guidance, and a firm’s own knowledge — and returns cited, traceable work product without leaving Claude.Tabular Analysis Enhancements in CoCounsel Legal (US)

Tabular Analysis is evolving. In the newly launched version of CoCounsel Legal, bulk document review is now built directly into the workspace — no more exporting files or rebuilding a separate database to review a subset. Creating and editing tables is simpler too, with a redesigned experience built from direct customer feedback, and multiple tables can now share the same set of files instead of duplicating work for each one. Tabular Analysis also runs by default on Thomson, �������� own purpose-built legal AI model — the organizational and technical foundation for a more connected CoCounsel Legal.

Built for How You Work

Verbatim Extraction in Tabular Analysis (US, UK & Canada)

Attorneys building disclosure schedules, privilege logs, and red-flag memos need exact clause language, not paraphrases. A new Verbatim column type in Tabular Analysis returns exact source text instead of AI-generated summaries, so attorneys no longer need to reopen the original document to re-quote a clause. Users select “Verbatim” when configuring a column and describe what to pull; CoCounsel returns the exact language from the source, validated against the document, and clicking any cell opens the source with the precise span highlighted for verification. Exports carry the verbatim text into Word and Excel with quotation marks already applied, ready for partner review and closing binders.

Judicial Experience on CoCounsel (US)

A new, personalized CoCounsel environment is now available for trial, appellate, and supreme courts. When judges or clerks activate the Judicial setting, the application adapts to their role with a neutral-stance default and a suite of curated judicial workflows, including pro se brief standardization, statute of limitations checks, cross-brief issue synthesis, and case fact drafting — every output grounded in trusted Westlaw and Practical Law content, with hyperlinked citations and KeyCite verification for auditable, defensible decisions.

Thomson – New Proprietary LLM (US, Canada & UK)

Thomson, the first proprietary large language model built by �������� draws on decades of proprietary content from Westlaw, Practical Law, Checkpoint, and Reuters plus hundreds of subject matter experts to reach Fiduciary-Grade standards at a fraction of typical cost. Early evaluations, including external testing by legal and AI academics, put Thomson on par with leading frontier models, particularly in instruction-following and domain-specific legal reasoning, and the model is now being deployed first in Tabular Analysis within CoCounsel Legal, with plans to extend Thomson across the legal and tax portfolio alongside additional sovereign AI options.

Learn about the Thomson LLM .

Deep Research Verify in Practical Law Premium (UK)

Deep Research Verify is now available in Practical Law Premium, integrated directly into the existing Deep Research workflow. Verify lets users review specific AI-generated legal assertions against relevant supporting passages from underlying Westlaw UK and Practical Law sources, with source support displayed inline alongside the original report. By reducing manual cross-referencing and providing a direct route to further research, Verify helps legal professionals assess AI-generated research more efficiently, transparently, and confidently.

Deep Research Verify in CoCounsel (UK)

CoCounsel UK now offers the ability to verify a Deep Research report directly within the platform. Deep Research Verify checks a Deep Research report against Practical Law and Westlaw UK’s authoritative sources, confirming citations are accurate rather than hallucinated and surfacing additional relevant law the report may have missed — moving users through verification faster and giving them more links to explore for further research.

Westlaw Advantage Canada — Parallel Search (Canada)

Parallel Search is a new feature in Westlaw Advantage Canada that finds cases with facts or issues similar to a scenario described in plain language — not just documents matching the words in a query. Users describe a fact pattern or issue in a sentence, and Parallel Search surfaces up to 25 Canadian cases with analogous facts or reasoning, helping researchers find true comparators and surfacing analogous outcomes they might otherwise miss, especially on novel or hard-to-phrase issues.

Deep Research Verify in Westlaw Advantage Canada and CoCounsel Legal (Canada)

Deep Research Verify is now available within the Deep Research experience on Westlaw Advantage Canada and CoCounsel Legal. For each assertion in a Deep Research report, Verify presents supporting text from the cited source and flags where support may be lacking, with a clear path for additional manual verification — helping users review AI-generated research with greater confidence and less manual cross-referencing.

Explore These New CoCounsel Legal Features Today

Sign in to CoCounsel Legal today to put these new research, drafting, and document-management capabilities to work, or explore training options at the .

To learn more, please visit the .

Now we are beginning to see what happens when that standard is applied. In one recent evaluation, experienced attorneys reviewed CoCounsel Legal’s performance across 50 complex CoCoBench tasks. Each task was estimated to require a lawyer an average of six hours to complete.

CoCounsel Legal completed each task in less than eight minutes.

More significantly, attorneys determined that CoCounsel Legal produced a stronger response than the original expert-written reference answer on nearly 40% of the tasks. The speed is remarkable. But speed is not the most important finding.

The more consequential result is that an agentic legal system, evaluated by experienced lawyers against realistic legal work, can do more than produce a plausible response. It can produce work that attorneys judge to be complete, accurate, well-supported, and usable in practice. That is a materially different standard from performing well on a public benchmark or delivering an impressive product demonstration.

And it changes how legal AI performance should be understood.

From benchmark performance to professional performance

Traditional AI evaluation often begins with a predefined answer and asks whether the system reproduced the expected elements.

That can be useful for testing a discrete capability. But legal work is rarely a matter of locating one answer or checking one box.

A lawyer may need to review an unfamiliar complaint, identify the relevant claims, research the governing law, assess potential defenses, and translate the analysis into a memo appropriate for a client. The value of the final product depends on how well all of those steps work together.

A response can identify the right doctrine but apply it incorrectly. It can reach a defensible conclusion while omitting a material issue. It can cite a real authority that does not actually support the proposition attached to it.

Those failures can disappear inside a benchmark score reliant solely on binary criteria. They are much harder to hide from an experienced attorney reviewing the output as actual work product.

That is the shift CoCoBench is designed to make: from measuring whether data is present to determining whether the work is professionally usable.

What a realistic legal AI test looks like

Consider one of the tasks included in CoCoBench. The scenario begins when a client receives an antitrust complaint naming it as a defendant. The client asks counsel to assess the claims and identify potential defenses.

The agent receives the complaint as its sole source document. It must identify the salient facts, research the applicable law for each claim and defense, evaluate which defenses may be viable, and prepare a memo written for the client.

This is the type of assignment litigators routinely face at the beginning of a matter. The available information may be incomplete. The issues may be ambiguous. The relevant law is not packaged neatly inside the source materials.

The task was authored by Jon Faria, a Senior Specialist Legal Editor at Practical Law who previously practiced as an antitrust litigation and investigations partner at Kirkland & Ellis.

That background matters.

Jon is not constructing a test that merely resembles legal work. He is reconstructing a problem he encountered in practice and applying the expectations he would have brought to an associate’s work product.

That is fundamentally different from generating a synthetic scenario and using another model’s answer as the standard of correctness.

The difference attorney judgment makes

CoCoBench combines automated evaluation with direct review by experienced attorneys.

The automated layer allows every run to be evaluated consistently and at scale. It identifies regressions, isolates specific failures, examines citation support, and helps engineering and data science teams understand where performance is improving.

Attorney review asks a more demanding question: would this work hold up in practice? Attorneys assess outputs across four dimensions:��

• Correctness: Are the factual and legal claims accurate, and are the citations used properly?��

• Completeness: Does the response address the full assignment, including the analysis that materially affects the conclusion?��

• Readability: Is the output organized and clear enough for a practitioner to use without reconstructing it?��

• Overall judgment: Taken as a whole, is the work fit for professional use?��

This review can reveal distinctions that a conventional benchmark may flatten. Two systems might both mention the relevant legal standard. One simply states it. The other explains its elements, applies them to the facts, addresses competing interpretations, and reaches a conclusion that a lawyer could defend.

A presence-based benchmark may reward both. A practicing attorney will not treat them as equivalent.

The hardest failures are often the ones that look right

One of the most important findings from our evaluation work is that legal AI failures are not always obvious.

A fabricated case is serious, but it is also relatively easy to recognize once someone attempts to verify it.

Misattribution can be more dangerous. A system may make a legally accurate statement and cite a real case, yet the cited passage does not actually support the claim. Everything appears credible: the authority exists, the proposition sounds plausible, and the citation is formatted correctly.

The failure lies in the connection between the claim and the authority. CoCoBench evaluates that relationship directly. It distinguishes among claims that are properly supported, claims that lack citations, claims based on incorrect reasoning, fabricated authorities, and propositions attributed to the wrong source.

It also differentiates between levels of misattribution. A passage that partially supports a reasonable inference is not the same as a claim whose real support appears only in an entirely different authority.

Those distinctions matter because they point to different technical problems and different levels of professional risk. A single accuracy score cannot show that.

Why the results matter

The initial results demonstrate what becomes possible when an advanced agentic system is paired with authoritative legal content, realistic evaluation, citation verification, and continuous attorney involvement. But they also expose a broader problem in the legal AI market.

Systems are often compared using measures that reward fluency, isolated task completion, or performance against synthetic reference answers. Those measures can create the appearance that several products perform at roughly the same level. When the evaluation moves closer to real legal work, the differences become clearer.

Can the system sustain accuracy across a six-hour assignment rather than a single turn prompt? Can it recognize which issues require deeper research? Can it connect each legal proposition to the authority that actually supports it? Can it produce a deliverable that an experienced lawyer would use as a credible starting point without redoing the core work? Those are much harder questions. They also require far more than access to a frontier model.

They require realistic legal tasks authored by practitioners. They require gold-standard responses grounded in substantive expertise. They require evaluation systems capable of testing both the final deliverable and the sources behind it. They require attorneys who can distinguish between an answer that sounds right and work that is right.

�������� can bring those elements together because legal expertise is not being added to the system at the end. It exists throughout the process.

It is embedded in Westlaw and Practical Law content authored, reviewed, and continuously maintained by attorney-editors. It guides the agents. It shapes the tasks used to evaluate the system. It informs the criteria against which outputs are judged. And it provides the continuous feedback used by our product, engineering, and data science teams to improve CoCounsel Legal.

That combination is difficult to build and even harder to sustain at scale.

A higher bar for legal AI

The question facing the legal industry is no longer whether AI can generate legal language.

It can. The question is whether an AI system can complete complex legal work accurately enough, thoroughly enough, and transparently enough for a professional to rely on it.

As agents take on longer workflows, involvement in evaluation becomes more important, not less. Errors introduced early can carry through research, analysis, drafting, and revision. A polished final answer can conceal weaknesses in the work that produced it. That is why the standard cannot be how intelligent the output sounds.

The standard must be whether the work can be examined, verified, explained, and defended.

The early CoCoBench results show that this standard is achievable. They also show why the way legal AI is evaluated will increasingly determine which systems are truly ready for professional work.

Because once legal AI is evaluated like legal work, the leaderboard changes.

Read the for a deeper look at CoCoBench’s attorney-authored tasks, automated evaluation framework, citation analysis, and attorney review methodology.��

Global Connected Platform��

CoCounsel Integration with NetDocuments (Canada)��

CoCounsel Legal customers in Canada can now bring documents directly from NetDocuments into CoCounsel Legal through the new NetDocuments ndConnect integration. Instead of manually downloading files and re-uploading them, legal professionals can access their firm’s NetDocuments content directly inside CoCounsel Legal — reducing context switching and making it easier to bring trusted firm documents into AI-assisted research, analysis, and drafting workflows.


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Smokeball Knowledge Search Connector (US & Australia)��

The new Smokeball Knowledge Search connector makes a firm’s matter documents searchable directly inside CoCounsel Legal, so attorneys can pinpoint the right file no matter where it lives — without bulk-loading every document into the platform. Knowledge Search surfaces only the files that matter, alongside authoritative Westlaw and Practical Law content. By grounding AI in a firm’s own matter documents alongside trusted Westlaw and Practical Law content, attorneys get more relevant answers and can search across every connected repository at once — saving the time otherwise spent hunting across separate systems.

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Unified Search and Upload Modal��

CoCounsel now offers a unified search and file upload experience, powered by Knowledge Search, that replaces fragmented upload flows with a single modal. Users can upload files from their device, pull from CoCounsel, or search across connected document management systems such as iManage and SharePoint — finding what they need across every source without knowing where it lives. The result is less time troubleshooting uploads and more time on the work that matters and greatly simplifying file discovery.

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Built for How You Work

Import Your Complex Playbook in CoCounsel for Word (UK, Canada & Australia)

Instead of rebuilding a firm’s playbook clause by clause inside CoCounsel for Word, customers in the UK, Canada, and Australia can now import an existing playbook directly. Simply upload a file, and CoCounsel intelligently reads and structures the content — including preferred clauses, negotiation guidance, escalation guidance, scenario guidance, fallback clauses, and tabular content — bringing a firm’s institutional knowledge into the platform and ready to work, with no rebuilding required. This eliminates the manual, error-prone work of recreating firm guidance clause by clause — preferred language, negotiation positions, escalation rules, and fallback clauses come in as-is, for faster setup and a playbook that fully reflects the firm’s own language and style.

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Agentic Playbooks in CoCounsel for Word (US)��

A new, agentic contract review layer is now available for transactional attorneys and corporate counsel in the U.S. CoCounsel handles the orientation, setup, and first-pass work automatically — identifying the agreement, the represented party, and the applicable playbook before the attorney even begins. From there, attorneys can review issue-by-issue or accept in bulk, and iterate on redline language conversationally, in plain English, shifting their role from operator to decision-maker. By eliminating the manual setup that slows down every contract review, attorneys move straight to shaping, reviewing, and approving the agent’s work — cutting the time from first read to final redline.

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Personal Injury Content Expansion on Deep Research (Westlaw Advantage UK)��

Personal injury quantum content is now part of Deep Research on Westlaw Advantage UK, including Lawtel Quantum Reports, Kemp Quantum Reports, and the Judicial College Guidelines for the Assessment of General Damages (18th Edition). PI practitioners can now ask natural-language quantum questions and receive a structured Deep Research report that brings this content together — without manually searching Lawtel, Kemp, and the Judicial College Guidelines separately. This gives PI practitioners a faster, more consistent way to benchmark general damages and build quantum assessments, without losing time toggling between separate resources.


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Explore These New CoCounsel Legal Features Today��

Sign in to CoCounsel Legal today to put these new research, drafting, and document-management capabilities to work, or explore training options at the .��

To learn more, please visit the .��������

Today, we are sharing early benchmarking results for Thomson, a first of its kind AI model. Across a range of benchmarks assessing legal and general capabilities, Thomson performed competitively with the strongest frontier models on the market, including Claude Opus 4.8, and ahead of GPT-5.5, Claude Sonnet 5, and Gemini 3.1 Pro. ��

Why? Because it knows the work.��

Launching later this summer, Thomson is the newest layer of the �������� AI strategy, and a demonstration of what becomes possible when authoritative content, expert judgment, professional tools, and model development come together.��

In 2024, �������� acquired Safe Sign Technologies, an AI research company. At the time, the market was betting that access to increasingly powerful general-purpose models would be enough.��

We made a different bet. We believed the future of professional AI would require more than general-purpose intelligence. It would require models built specifically for the domains, standards, and consequences of professional work. We believed that the distinct advantages of �������� decades of world-class content and expertise could be best expressed in a model that we ourselves crafted.����

Thomson is the result of that bet. And it is why �������� will continue to set the standard for Fiduciary-Grade AI. ��

Meet Thomson��

Thomson starts from a strong open-source foundation, so it performs general-purpose work just as effectively as the frontier models. It then goes further: trained using state of the art mid-training and post-training techniques on decades of authoritative content from Westlaw, Practical Law, Checkpoint, and Reuters, content professionals have staked their reputations on for generations.��

That training was shaped by hundreds of subject matter experts who evaluated outputs, identified failure modes, and validated that the model reasons the way legal professionals actually work. The same professional standard governs how Thomson is deployed. Customer data is never used to train the model.��

The result is a model that thinks and reasons like a lawyer while outperforming models multiple times larger on the work that matters.����

Thomson Matches the Best. And Beats the Rest.����

We evaluated Thomson against the leading general-purpose models on the market for general professional work and categories spanning:��

Thomson is competitive with the world’s leading frontier models despite being a fraction of their size and cost to train and operate. �������� has achieved that performance�� by combining exceptional AI talent with authoritative proprietary content and deep domain expertise. And with less than 10% of �������� content used in its training so far, there remains significant opportunity to expand its capabilities.��

Instruction Following is a composite average of the IFEval and FollowBench benchmarks. ��
Reasoning is a composite average of the GPQA Diamond, HLE, and MMLU-Pro benchmarks.�� ��
Coding is a composite average of the SWE-Bench Pro and Terminal-Bench 2.1. ��
Long Context is a composite average of the Infinity Bench as well as some internal benchmarks developed by ��������.��

These evaluations show Thomson’s competitiveness with industry recognized benchmarks. Our internal evaluation and training cover a wide range of scenarios, including carefully designed agentic use cases optimized for real-world professional work, tens of thousands of real-world queries written by experts, end-to-end deep research training with human-calibrated judges, and data-centric mid-training on a large amount of our content. To increase safety and robustness, we conduct training and evaluations consistent with �������� values, and stress-test the models through human and automated red-teaming. Thomson is still early in its development. To date, less than 10% of �������� content has been used in its training, leaving significant opportunity to expand its domain knowledge and capabilities through additional training, rigorous evaluation, and expert validation.��

Thomson also showcases its strength when a native integration with �������� content is added. When compared with leading frontier models given unrestricted access to the web, Thomson’s access to proprietary data sources such as Westlaw, Practical Law, and Reuters news ensures both superior completeness and factuality (i.e. the ability to back up claims through accurate citations to trusted sources).

This evaluation covers 53 legal research queries written by our internal Subject Matter Experts to represent real world questions. LLM’s are connected via an in-house agentic harness to Westlaw/Practical Law for TR content and Brave search engine for web search. Completeness and Factuality are scored using LLM’s as a judge. Completeness is scored based on SME-written rubrics that list every element that would be required for a good answer to the question. Factuality is based on extracting the claims made in each report and checking whether the cited sources provide evidence for each claim. These metrics were developed and calibrated against SME scoring.

The First Deployment. Not the Last.��

Thomson’s first integration will launch in August inside Tabular Analysis in CoCounsel Legal, and that choice was deliberate. Tabular Analysis performs high-volume, structured document review against a clear, measurable accuracy standard. It is exactly the kind of work where a purpose-built model has a demonstrable advantage over a general-purpose alternative, and where that advantage is immediately visible to the professionals relying on the output. Thomson will become the default model powering Tabular Analysis, and over the next year we will continue to integrate it across the �������� product portfolio in legal and tax.����

Content. Expertise. Tools. Now the Model.��

�������� has always brought together authoritative content, deep domain expertise, and the tools professionals rely on every day. Thomson adds the fourth element: a model purpose-built to power it all, trained on content competitors cannot access and validated to the standard professional’s demand. It delivers frontier-level performance at a fraction of the size and operating cost of many general-purpose models. A model only �������� could build.��

This is our commitment to Fiduciary-Grade AI in action: AI designed for professionals with duties of care and accountability, where almost right is not good enough.����

General-purpose AI is built for everyone. Thomson is built for the professionals who cannot afford to be wrong.

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 — 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 �������� 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—just like the professionals we serve. This campaign is about more than introducing a character. It’s a statement about what �������� 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 ��������.

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

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

The profession has already reached this conclusion

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

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

Agentic AI is not a counting exercise

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

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

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

A standard you cannot measure is just a claim

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

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

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

Built for where work begins, wherever that is

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

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

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

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

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

Read more:

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

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

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

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

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

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

Starting Work Is Easy. Finishing It Is What Matters.

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

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

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

That is the role CoCounsel is designed to play.

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

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

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

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

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

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

Building Across the Customer’s Ecosystem

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

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

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

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

And this is just one part of the broader strategy.

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

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

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

What Comes Next

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

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

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

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

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

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

That is the fiduciary-grade standard we are building into CoCounsel across ��������.��

That is not what happened.

Instead, what we heard from lawyers using the beta stopped us in our tracks. We received emails from attorneys who had used CoCounsel Legal for specific tasks saying they were now starting nearly every project in the new experience. More than a few testers sent us emails sharing how much they “F#@%ing loved” the new CoCounsel (that’s a direct quote!). Transactional lawyers told us they were completing work in a single session that used to take multiple tools and context rebuilding. Litigators told us the underlying legal analysis made them rethink what was possible with AI in complex work. Our average rating on outputs was over 4 stars (out of 5)! Across every user, the reaction to the shift was the same, and it was unprompted: I can’t get enough of this. They started asking us to add additional users to the beta program and told us they were now rethinking rollouts planned with other AI tools.

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

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

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

Dan Block, Director, Sterne Kessler Goldstein & Fox

Built to Work Like a Senior Associate

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

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

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

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

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

It Was Built for You Too

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

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

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

– Mike Schultz, Senior Securities and Corporate Counsel, FMC

There is More to Come

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

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

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

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

Amber Simon, Attorney, Polsinelli

The Standard Stays

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

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

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

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

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

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

Starting This Week

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

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

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

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

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

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

Where AI fits in

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

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

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

— Kevin Escott,��Executive Director, Corporate Functions Technology, JLL

Trust is the harder problem

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

What comes next

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

The organizations best positioned for��what’s��ahead are the ones building structured, auditable compliance processes now��–��before the next wave of requirements lands.

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

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

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

Courts across the United States have now sanctioned attorneys for��submitting��briefs with fabricated citations, false quotes, and mischaracterized precedent — 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��maintained��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��actually supports��the argument��it’s��being used to make. Verification becomes difficult not because the tools��don’t��show their work, but because the underlying sources��can’t��be trusted in the first place.��

At��Thomson��Reuters,��we��understand��that lawyers��don’t��just need to find the law — they need to be able to stand behind what they find.��We’ve��always built Westlaw��and Practical Law��with that in mind, and��it’s��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��tools that give attorneys everything they need to do that��verification��themselves,��at every stage of the workflow.��

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

As citations are built, two things work in parallel.��KeyCite��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��frequently��cited together even when they��don’t��cite each other. Alongside it,��CoCounsel Legal’s patent-pending citation ledger��tracks every source the AI draws on throughout the research process and confirms that each source was��actually read��and reviewed — not just referenced.��Together, they give attorneys what they need to��answer the question��that��should��precede every citation��they rely on: does this hold up?��

Before anything goes out, two more layers of review engage.��The Verify function, launched in February 2026, surfaces every assertion made in the research report alongside the relevant source passages and pointers for��additional��research — giving attorneys everything they need to��verify��before anything goes out the door.��Litigation Document Analyzer��goes further��by��identifying��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.����

The Question Every Lawyer Should Be Asking��

Not all legal AI is built the same way.��Some tools are little more than general-purpose foundation models with a legal label applied — with little ability to confirm whether the underlying sources are current, authoritative, or accurately represented in the answer.��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 ��������,��fiduciary‑grade��AI is our standard for how AI should work in��high‑stakes professions.����It’s AI designed for professionals – built on our authoritative content; protected by rigorous privacy and security safeguards; shaped and validated by subject‑matter��experts; and designed to produce transparent outputs that can be verified.����

We’ve 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 — and the confidence to know you have.