Rooted in Your Knowledge

Draft an Agreement Based on Your Precedent & Practical Law Content

Draft agreements faster without starting from scratch as CoCounsel鈥檚 drafting agent enables U.S. users to generate a comprehensive first draft in minutes using a trusted precedent or a Practical Law Standard Document. Simply upload source material, add key details and requirements, and CoCounsel analyzes the template, applies its structure and style, and produces a tailored multi鈥憄age draft aligned to the instructions provided. The result is a quicker path from blank page to a client-ready draft in a streamlined workflow with less manual assembly allowing users to spend more time reviewing, negotiating, and advising. Review and then export to Microsoft Word when ready.

My Clauses

Using the new My Clauses in CoCounsel (U.S.), transactional lawyers can build a personal, searchable library of preferred contract provisions saved from playbooks, draft and modify outputs, or added manually so the right language is always within reach. Find what is needed in seconds, tailor it to the specific matter, and reuse it instantly across new agreements. That means less time hunting through old files, fewer drafting interruptions, more consistency across matters, and faster turnaround from first draft to final.

Built for How You Work

Draft Editor

Draft Editor is an integrated editing environment available in the U.S., UK, Canada, and Australia that lets users refine AI-generated outputs directly in their browser 鈥� no need to export to Word or switch applications. Available across key skills including Review Documents, Draft, Summarize, and Timeline, simply click 鈥榦pen editor鈥� to start refining work. By enabling in-place editing, it keeps users focused on their work instead of managing workflow. The result: faster turnaround times, fewer interruptions, and a seamless path from AI assistance to polished work product.

Region Settings

Now available in the U.S., UK, Canada and Australia, lawyers can access a flexible, jurisdiction selection feature built directly into CoCounsel for Microsoft Word that enables seamless switching between region content and localization 鈥� regardless of regional subscription. Users also can access corresponding Westlaw and Practical Law content from existing subscriptions without purchasing separate regional entitlements or managing multiple logins. Additionally, an improved capability to switch between jurisdictions eliminates geographical limitations in the drafting workflow.

Citations Format Update

CoCounsel now delivers citations as endnotes (with hyperlinks) instead of footnotes in the U.S., UK, Canada and Australia 鈥� so your finished Word document reads cleanly from start to finish 鈥� a key preference often heard from customers. When exporting the output of any CoCounsel skill or workflow, citations appear at the end of the document, and each in-text citation links to the supporting source and back again. This creates less scrolling and fewer distractions while the work is reviewed, shared, and finalized, especially on longer drafts and research-heavy documents. The in-app experience stays the same; this update improves the readability of exported documents while keeping sources easy to verify.

Tabular Analysis

Tabular analysis is now available in Canadian French.听 Users can review up to 10,000 documents and 100 questions, viewing the results in a dynamic, filterable table format.听 This flexible capability enables users to add or remove files or questions mid-review, analyze results in a three-pane viewer, and run multiple tables simultaneously. The powerful solution significantly reduces document review time while enabling easy verification with clickable footnotes. This allows legal professionals to concentrate more on strategic, high-value tasks, and enhancing productivity while reducing valuable resource needs.

Explore These New CoCounsel Legal Features Today

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* certain capabilities or integrations may require a subscription to other products

The Limits of Traditional Metrics
鈥�
Most enterprise AI evaluations rely on time savings, adoption rates, and task completion volumes.听These are听useful听signals.听They’re鈥痚asy to track, easy to explain to finance teams, and they provide a clear baseline. But they only capture one dimension of value: efficiency. They tell you whether work is happening faster. They鈥痙on’t鈥痶ell you whether work is happening that鈥痗ouldn’t鈥痟appen before.鈥�

What We Were Actually Seeing鈥�听

During our evaluation, we kept鈥痚ncountering鈥痵cenarios that鈥痙idn’t鈥痜it neatly into a “time saved” box.听For instance,听consider three real scenarios:听

• A business analyst with no coding background starts building interactive data visualizations and performing statistical analyses that would typically require a data scientist. The work gets done, the insights are valuable, but how do you measure that in “time saved”? They鈥痙idn’t鈥痵ave time. They听did something they鈥痩iterally鈥痗ouldn’t鈥痙o before.鈥�
  听

• A junior team member produces a comprehensive market analysis that, when reviewed by senior leadership, matches the quality and depth鈥痶hey’d鈥痚xpect from someone with five more years of experience. Again, time saved? Not really. The junior person still spent their time.听Senior level听time was still needed to听guide and evaluate.听But听the value is that the output quality jumped significantly.鈥�
  听

• A non-technical program manager creates automated reporting dashboards without involving the engineering team. It saved time, certainly, but the program manager鈥痙idn’t. They invested time to build something that previously鈥痳equired鈥痵pecialized technical resources. The value鈥痠sn’t鈥痚fficiency;鈥疘t’s鈥痗apability听and skill听expansion without听being听gated听on听resources that are in听high听demand听elsewhere.鈥�听

Traditional metrics struggle with these scenarios because鈥痶hey’re鈥痬easuring the wrong thing. They assume AI makes existing work faster. But what happens when AI makes new work possible?鈥�

This鈥痠sn’t鈥痑 hypothetical听scenario.听In our evaluation, we found that鈥痳oughly 60%鈥痮f reported value fell into this category,听work that represented capability expansion rather than efficiency gains.听

The measurement framework and the lived experience鈥痙on’t鈥痑lign. And when frameworks鈥痙on’t鈥痗apture reality, organizations make suboptimal decisions. They might limit rollouts because the metrics鈥痙on’t鈥痡ustify expansion. They might miss the highest-value use cases because those鈥痙on’t鈥痵how up as time savings. They might compare AI tools purely on efficiency metrics when the real differentiator is what new capabilities each tool enables.鈥�听

The question became clear: how do you quantify someone doing work they鈥痗ouldn’t鈥痙o before? How do you measure the value of a business analyst acting as a data scientist听when听they previously听wouldn鈥檛听have had access to a data scientist?鈥�

The New Framework:鈥疶hree鈥疍imensions of Value鈥�

We developed a framework that tracks AI value across three distinct dimensions, each captured through structured questions that feel subjective but yield听actionable听data.

Dimension 1: Time Saved (With Better Anchoring)鈥�

We kept the traditional time savings metric, but we changed how we asked about it.鈥疪ather than asking “How much time did you save?”, we asked users to categorize the鈥痬agnitude: Did this compress days into hours? Hours into minutes? Months into weeks?鈥疶his gave users concrete anchors for estimation. Instead of generating vague numbers, they had to think specifically about the鈥痬agnitude鈥痮f change. Did this compress a multi-day project into hours? Or did it shave minutes off an hourly task鈥�

Figure 1: Across all evaluated use cases, “hours to minutes” was the most reported time saving pattern (49%), followed by “days to hours” (38%) and “weeks to days” (13%).

Dimension 2: Time Multiplier (Volume Capacity)

We asked: “Can you now handle more work volume?” with concrete ranges: slightly more (1鈥�2x), moderately more (2x+), or significantly more (10x+). This captures something time savings misses entirely. A team handling 2x the case volume听hasn’t听saved time per case they听expanded capacity within their team.

Notice what we听didn’t听ask: “How many more tasks can you complete?” That would require users to count and estimate precisely, leading to unreliable data. Instead, we asked them to bucket their experience into ranges.

A user might not know exactly whether they went from 5 cases to 12 cases per day, but they know whether it feels like “slightly more” or “significantly more.” The categories gave them language to express听magnitude听without requiring precision they听couldn’t听provide.

Figure 2: Of all use cases evaluated, 61% reported a 2x volume increase, 27% reported 1.5x鈥�2x, and 12% reported a 10x increase.

Dimension 3: Skill Multiplier (Capability Expansion)

The third dimension measured whether users could perform work beyond their formal skill sets.

We asked: “Did this tool enable you to produce work at a higher expertise level than you normally operate at?”听 Then more specifically: “Did the tool enable you to benefit from skills you don’t have?”

When a business analyst reports using AI to perform statistical analysis, data visualisation, and predictive modelling, that’s work that would typically require a data scientist. We don’t count that as “time saved.” We classify it as data science work being performed that wouldn鈥檛 otherwise have happened. When a junior analyst produces strategic recommendations that match senior-level quality, we track that as senior analyst work being delivered that would have otherwise have not.

On a per use case level, this allows us to track that work was done when users were themselves performing work aligned to data scientists, senior analysts, technical writers, and other specialist roles. This data can then be translated into a picture of how much specialist-level output is being generated that would otherwise be slowed down because those specialist skills are in high demand and often not available, giving leadership a clearer view of the true value AI tools are delivering beyond efficiency.

This shifts the conversation. Specialist-level output is being delivered without being bottlenecked by the availability of specialist-level roles. Organisations can tackle work that previously required needing to wait, and individuals can execute on ideas they couldn’t before.

The three dimensions work together.听A single use听case might show:

• 2 hours saved per week (efficiency)

• 30% capacity increase for specific workflows (throughput)

• Data science-level analysis without being constrained by those with data science听expertise听(capability)

Each dimension tells part of the story. Together, they capture the full value picture

Figure 3: Developer (36%), Data Analyst (23%), and Designer (18%) dominate the distribution, accounting for over three-quarters of participants. The remaining share is split across Strategy (7%), Technical Writer & Comms (5%), and Other (11%) 鈥� the latter comprising Data Scientists, Project Managers, SMEs, and HR.

What’s Next: Measuring This at Scale

This framework was built from structured surveys and manual aggregation. The next frontier is measuring these dimensions continuously and at scale by streamlining use of this self-reported data. We see several directions:

First, integrating capability analysis into existing workflow tools, so that when someone uses AI to perform work outside their formal skill set, we can more robustly capture new adoption patterns.

Second, as the nature of individual roles changes, we expect to see the boundaries between teams shift too. New roles will emerge and there will be greater bridging between teams. Tracking how these dynamics evolve over time will be key to understanding AI’s longer-term impact on organisational structure.

Third, using the framework to inform procurement and expansion decisions in real time. Rather than waiting for quarterly reviews, organizations should be able to see which tools are driving capability expansion in which teams and allocate investment accordingly.

The question is shifting from “Is AI saving us time?” to “What can our organisation do now that it couldn’t before?” It begins to narrow the gap between adoption and value. We believe the three-dimensional framework offers a more honest and more compelling answer to the ROI question. And as AI tools continue to evolve, the organisations that measure value correctly will be the ones that invest wisely.

Building on the excitement of 成人VR视频 announcing that more than one million professionals have chosen CoCounsel, the company鈥檚 professional-grade AI, this month’s CoCounsel Legal release brings a wave of new capabilities to streamline research, drafting, and document review for legal professionals. These updates reflect the principles driving our roadmap: Agentic AI grounded in deep legal expertise, rooted in your own knowledge and workflows, and built to elevate the way modern legal teams operate.

Agentic AI Grounded in Deep Legal Expertise

Westlaw Advantage Canada with Deep Research

Westlaw Advantage applies agentic AI to trusted authoritative content, acting like an expert researcher to help you quickly move from research to strategy. At the heart of Westlaw Advantage is听Deep Research, the legal industry鈥檚 first professional-grade agentic AI research capability. By combining advanced AI with Westlaw鈥檚 unmatched content library, it streamlines complex research in English or French, delivering comprehensive coverage while significantly reducing manual research time. Westlaw Advantage Canada is more than just a research solution; it鈥檚 a strategic element of CoCounsel, our AI technology, available to every Canadian legal professional.

Westlaw Advantage Canada Deep Research Report

Deep Research in Practical Law US

Deep Research in Practical Law brings a smarter, more intuitive approach to using all the know-how resources. It feels less like searching Practical Law and more like working alongside a Practical Law editor who has instant command of every resource and tool at your disposal. Powered by agentic AI and grounded in Practical Law鈥檚 trusted and up-to-date content, it automatically plans research steps, pulls the most relevant guidance and templates, and delivers a clear, well-supported research report. Deep Research reviews multiple Practical Law resources, synthesizing the key guidance, and iteratively exploring further until it has exhausted its work, eliminating manual tedious, multi-step workflows鈥攈elping you move from “how to?” to “here’s how” faster. And, with easy access to the underlying sources for verification, you can move confidently to the next phase of your matter.

Deep Research Verification Tools for US

Verifying AI generated research shouldn鈥檛 slow attorneys down鈥攁nd now it doesn鈥檛 have to. CoCounsel Legal鈥檚 built in verification tools surface clear statements alongside their supporting sources, use AI to assess how well those sources align, and apply adversarial review to highlight potential gaps or missing context. By bringing together supporting evidence, counter perspectives, and direct connections to Key Numbers and KeyCite, attorneys can quickly validate research, strengthen their arguments, and stay confidently in control鈥攚ithout losing momentum.

Rooted in Your Knowledge

Draft a New Agreement Using Your Precedent Document (Beta)

This AI-powered capability provides transactional attorneys the ability to create a comprehensive first drafts in minutes. Upload a trusted precedent document, describe specific needs, and receive a complete, multi-page draft that follows the firm’s structure and style. This transforms hours of drafting work into minutes, delivering relevant drafts that reflect firm standards allowing attorneys to focus more on strategy.

Draft a new agreement using your precedent document

Create a Lease Agreement Abstract

First released in the U.S. and now available in the UK, Canada, and Australia, this capability efficiently produces concise, tabular summaries of lease agreements using a user-specified template. Upload lease documents and receive structured summaries in Markdown or Microsoft Word format, complete with instant citations to relevant contract sections for enhanced accuracy and rapid verification.

Create a Lease Agreement Abstract

Benchmark Document Against Standard

Now live in the UK, Canada, and Australia, as well as the U.S., this tool lets users assess a negotiated document by comparing it against a user-uploaded 鈥渋deal contract鈥� to highlight missing clauses or key deviations. It enhances alignment and risk management by identifying gaps and offering practical recommendations that help streamline negotiations.

Benchmark Document Against Standard

Syncly Box and Dropbox Integrations

CoCounsel Legal now integrates with Dropbox and Box through Syncly, enabling secure document import. This simplifies workflows by bringing documents stored across systems into one continuous workflow for analysis, research, and drafting.

Customise a Practical Law Agreement

Now available in the UK, Canada, and Australia alongside the US, this workflow enables legal professionals to tailor a Practical Law standard document according to specified instructions and provisions of a term sheet. By incorporating deal-specific details into template agreements and utilizing expertly drafted Practical Law content as a foundation, it significantly streamlines the drafting process.

Customise a Practical Law Agreement

Built for how you work

Tabular Analysis

Now available in the U.S., with UK and Canada coming soon, transforms high-volume document review by allowing users to process up to 10,000 documents and 100 questions in a dynamic, filterable table. With the ability to modify reviews in progress and run multiple tables simultaneously, it offers unmatched scalability and efficiency, enabling legal professionals to focus on strategic, high-value tasks.

Tabular analysis

Find Practical Law Drafting Language – UK

Quickly find drafting language from trusted content using a simple prompt within Practical Law Search & Summarise or CoCounsel. This capability streamlines the drafting process by helping users locate specific, verifiable drafting language powered by Practical Law鈥檚 expert-written content.

Outline Case File

This litigation-focused skill for the US examines entire case records to identify relevant documents, extract key facts, and create an outline connecting facts to claims. It significantly reduces review time, helping professionals quickly get up to speed and identify strengths, weaknesses, and gaps in the factual record.

Outline Case File

Explore these new CoCounsel Legal features today听

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

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

It is not simply a marker of adoption or growth. It is a sign of trust.听One million professionals chose to trust 成人VR视频 in听transforming听how they work.听They chose to听test and learn听to rely on something new, and to integrate AI into moments that matter. Each one听represents听a small but meaningful act of transformation: a lawyer who found an hour back in their day, a tax professional who turned research into insight, a compliance officer who had the right information at exactly the right moment. Those moments are why we build.

But if听I’m being听honest, one million is not enough.听We are winning the professional AI market for legal, tax, and compliance鈥攂ut we are not dominating it.听Not yet. And the gap between those two things is what propels us forward.

Transformation Is a听Journey,听not听a Headline

If you have ever tried to change something fundamental鈥攁 process, a company, or a mindset鈥攜ou know transformation is rarely clean or linear. It is messy. It is slow. It is full of hard conversations and rainy days when true north is hard to find and progress feels elusive.

At 成人VR视频, we have experienced all of that. What we have learned is that progress compounds when you keep showing up, block out the noise, and stay anchored to the mission.

Over the past two years,鈥�we have been transforming鈥痜rom a historically content-driven company into an AI-powered technology company. That shift takes more than shipping features or adopting new tools. It requires unlearning deeply ingrained habits, questioning long-held assumptions, and building the courage to change how decisions get made.

My role as CTO is to see where change needs to happen, incite it, and steer it鈥攚hile also听setting听the guardrails and tripwires that keep us from going off the rails. Our听teams’听role is to push against those boundaries and show us when they need to move. That tension between rigor and exploration is where innovation happens.

Creating Sparks of Change听

We see that tension听manifests听most clearly in how change happens. Transformation does not come from large committees or perfect plans. It comes from small, empowered teams making focused progress.

Across 成人VR视频, those teams have been the catalysts of change. They moved quickly, tested boldly, learned fast, and shared what worked and what did not. Their work is often unglamorous and invisible, but it is the reason this transformation is real.

They are also the reason CoCounsel exists. They turned agentic AI from a bold idea into something听nearly a听million professionals now use in their daily workflows.

Building Trust from the Inside Out

One of the most important lessons we learned early is that trust cannot be layered on after the fact.听It has to be engineered into the system.

Two years ago, we launched AI Assisted Research鈥攖he first generative AI feature in Westlaw. We had a vision of what good looked like, but the reality taught us that defining ‘good’ in generative AI is an iterative process, not a one-time decision.

What felt strong in our research loops needed refinement when put to the test with real human feedback. Legal professionals expected both the precision they relied on and the fluency they were beginning to experience elsewhere. Each round of feedback sharpened our understanding. Each deployment taught us something new about where the bar needed to be.

Those months were challenging, but they were also formative. The conversations with customers and with each other鈥攖he honest ones about what was working and what听wasn’t鈥攎ade our AI more reliable and听reshaped听how we think about accountability in AI systems. We learned how to build solutions with high trust. And in building trust,听slow听became fast.

But over time, this focus on trust created trade-offs we听hadn’t听fully听anticipated. Every verification layer we added, every human review checkpoint, every conservative threshold鈥攖hey made our AI trustworthy. But they also made us less听versatile,听less ambitious. More precise, but less fluid. More reliable, but less delightful.

We听optimized听for never being wrong. Our users wanted us to also听optimize听for being genuinely helpful.

From Vendor to Partner

Understanding that gap changed how we think about our relationship with customers. We do not want to be another vendor with a product. The world does not need more vendors.

What professionals want, and deserve, is a partner. A partner who listens, adapts, and is honest when something does not work. A partner who understands that trust is earned slowly and lost quickly.

This next phase of our transformation is about moving from transactional relationships to true partnerships. It is about building tools with our customers, not just for them, and meeting them where they are in their own transformation journeys.

Looking Ahead

One million users听proves听we听are听trusted. What it听doesn’t听prove yet is that听we’ve听built the AI professionals genuinely want to use鈥攏ot just the one they know听won’t听fail them.

That’s听what comes next.听We’re听keeping the trust听we’ve听earned while closing the gap on experience. Being both precise and ambitious. Both reliable and delightful.

This is harder than what听we’ve听done so far. It means moving faster without cutting corners. Being bolder without being reckless. Matching the pace of consumer AI without abandoning professional standards.

But听here’s听what I know: the teams who evolved AI Assisted Research into Westlaw Deep Research鈥攖he industry’s most advanced legal research system鈥攁nd who built CoCounsel into something a million professionals rely on鈥攖hey’re听not done.听We’re听not done.

Learn more about CoCounsel

But professional work听doesn’t听work that way.

When a lawyer needs to draft a court-ready brief, when a tax professional needs to navigate multi-jurisdictional compliance, when an auditor needs to assess risk across thousands of transactions鈥攖hey听don’t听need the cleverest chatbot. They need AI that understands their work, their standards, and their accountability.

That’s听what听we’ve听built. And the market is responding.

One million professionals have chosen CoCounsel. Not for pilots. Not for experiments. As core infrastructure for how they work. We serve leading enterprises across legal, risk, compliance, tax, accounting, audit and global trade in 107 countries and territories.

While competitors are听showcasing听demos,听we’re听delivering deployments. While startups are raising capital,听we’re听generating revenue. While others are figuring out trust,听we’ve听already earned it.

The Four Pillars of Professional AI鈥擜nd Why We Lead

成人VR视频 has been building technology and using AI for decades. But what听we’ve听done with generative AI over the past two years puts us in a category of our own.

Professional-grade AI听requires听four essential components working together. 成人VR视频 has all four听at scale:

We have听the technology. We work with every leading AI lab鈥擜nthropic, OpenAI, Microsoft, AWS, Google鈥攁nd听we’re听developing our own AI model built specifically for professional work.听We’re听not dependent on a single vendor or locked into one approach. We can use the best technology for each specific workflow.

We have the content.听Decades of curated, authoritative professional content that听can’t听be replicated. Not web-scraped data鈥攖he actual听sources听professionals stake their reputations on.

We have听the听expertise. 4,500+ domain experts who understand what “good” looks like in legal, tax, and compliance work. They define quality standards,听validate听outputs, and ensure our AI meets professional requirements.

We have听the tools. CoCounsel integrates directly into the professional workflows and platforms our customers already use鈥攆rom Westlaw听and听Checkpoint听to Microsoft 365.听Our AI doesn’t sit outside听the听work; it becomes part of听the听work.

These four components working together let us build AI capabilities that others simply听can’t.

Westlaw Deep Research听on CoCounsel Legal听can analyze thousands of documents and synthesize complex legal findings because we combine frontier AI models with our authoritative content library and domain听expertise听to ensure accuracy. Ready to Review听on CoCounsel Tax and Audit听can prepare complete 1040 tax returns鈥攏ot suggestions or drafts, but finished, filed returns that meet IRS standards鈥攂ecause our tools integrate directly into professional workflows with the quality standards our experts define.

Having one or two of these components means you can build demos. Having all four means you can build products professionals trust with their reputations.

We Have Advantages That Accelerate Our Lead

Having听the four听essential pillars is necessary. But two听additional听advantages strengthen our position:

We have听the听scale. One million professionals using our AI in production听teaches听us things competitors听can’t听learn from pilots. Every edge case becomes common. Every rare failure happens daily. That feedback loop makes our AI听better,听faster.

We have the capital. 成人VR视频 invests more than $200 million annually in productized AI and听has听11 billion dollars听in capital capacity through 2028 to fund continued innovation and selective acquisitions.

But having all four pillars plus scale and capital only matters if professionals听actually trust听your AI with their work. And trust at this level鈥攚here reputations, client relationships, and regulatory compliance are on the line鈥攔equires a different approach than consumer AI.

Trust听and Capability:听Our Competitive Advantage

Here’s听what we听learned听building AI at scale: in professional work, you need both trust and breakthrough capability. One without the other听isn’t听enough.

Consumer AI听optimizes for听impressive demos. Professional AI must deliver results you can stake your career on,听while听actually transforming听how work gets done.

Two years ago, we launched AI Assisted Research,听the first generative AI feature in Westlaw. We had a vision of what “good” looked like, but听deploying to听real legal听professionals taught us that defining quality in AI is iterative, not one-time.

Those early months were challenging. Every conversation with customers, every piece of feedback, every deployment taught us something new about where the bar needed to be. We learned that professionals expect both the precision听they’ve听always relied on from 成人VR视频 and the听transformational capability听they’re听experiencing with generative听AI.

We built for both. And we used what we learned to build something even better.

Every piece of feedback from AI Assisted Research informed how we developed Westlaw Deep Research鈥攏ow the world’s leading AI legal research capability. Deep Research听doesn’t听just answer legal questions; it analyzes thousands of documents, synthesizes complex findings across听jurisdictions, and delivers court-ready analysis with the citations and reasoning professionals require.听It’s听what happens when you combine frontier AI technology with authoritative content, domain听expertise, and real-world learning from a million professionals.

That same approach drives everything we build. CoCounsel delivers capabilities no one else can match听鈥撎齮he most advanced legal research system in the world, and the first AI that can prepare a complete 1040 tax return. Not suggestions or听drafts, but听finished work that meets professional standards.听

These听aren’t听incremental improvements.听They’re听capabilities that fundamentally change听what’s听possible in professional work.

And we deliver them with the trust professionals require:听

• 听Accuracy you can stake your reputation on听鈥� because we verify outputs against authoritative sources听
• Transparency you can explain to clients and regulators听鈥� because we show our reasoning and cite our sources听

• Security that guarantees your data stays yours听鈥� because we understand professional confidentiality听isn’t听negotiable听

• Integration with professional workflows听鈥� because AI that sits outside your tools听doesn’t听transform your work听

This is what professional-grade AI means.听Breakthrough capability with professional trust.听And this is why one million professionals chose 成人VR视频.

We’re听Accelerating鈥擜nd Defining the Future

One million users听proves听we’re听the leader in professional AI. But leadership听isn’t听a milestone鈥攊t’s听a commitment to staying ahead.

We’re听advancing听development听of our vertically specialized language model designed specifically for legal, tax, and compliance work.听We’re听expanding听CoCounsel’s听global footprint.听We’re听releasing new workflow-specific capabilities throughout 2026 that will further separate us from competitors.

Because听here’s听what we know: the real AI race听isn’t听about who builds the smartest general-purpose model.听It’s听about who can deliver transformational ROI in high-stakes professional environments where trust is non-negotiable.

成人VR视频 is听leading听that race. We have听the technology,听expertise, content, tools, scale, and capital. We have one million professionals听who’ve听chosen us as their AI partner. And听we’re听building the best professional AI in the world.

This听isn’t听the beginning of our AI journey鈥攚e’ve听been on it for decades. But it is the moment when the market recognizes what听we’ve听become: a leading AI technology company听that’s听defining what professional-grade AI means.

One million professionals are already experiencing that future. And听we’re听just getting started.

Learn more about CoCounsel.听听

Today’s fast-paced legal landscape forces professionals to take on increasing workloads, push the boundaries of their time, and navigate the constant challenge of staying abreast of complex legal changes. Westlaw Advantage is meticulously designed to address these pain points, transforming how you approach legal research. It will empower legal professionals to move from research to strategy with unprecedented speed and confidence like never before.

“The legal profession is evolving rapidly, and so are the solutions supporting it,” said Mary Acimovic, senior director of Product Management, 成人VR视频. “Westlaw Advantage isn’t just an incremental update; it’s a paradigm shift. We’ve harnessed the power of agentic AI to truly understand and execute complex research tasks like an expert, freeing up legal professionals to focus on higher-value strategic work. This platform embodies our commitment to innovation that doesn鈥檛 just serve our customers’ needs, it pushes them into an entirely new realm of serving their clients.”

The Power of Agentic AI Applied to Legal Research

At the heart of Westlaw Advantage is听Deep Research, the legal industry鈥檚 first professional-grade agentic AI research capability. Deep Research emulates the practices of expert legal researchers and can serve as a seasoned colleague dedicated to your research question. It formulates a multi-step plan, leveraging Westlaw’s proprietary content and core tools like KeyCite and the Canadian Abridgment to deliver accurate, thorough, and comprehensive answers. Additionally, it refines the process in real-time, ensuring optimal results.

Optimized for both English and French language use and supporting both common law and civil law practice, Deep Research ensures no stone is left unturned 鈥� covering the current state of the law, recent changes, practical implications, governing laws, and more. Users gain unprecedented transparency with step-by-step research notes culminating in a comprehensive, detailed report that drastically reduces manual effort and accelerates the journey from research to strategic action.

鈥淭raditional legal research, particularly on an issue that is on the periphery of my practice area, can yield helpful fragments of information 鈥� but often, not the full picture. What鈥檚 powerful about Westlaw鈥檚 Deep Research tool is that the multi-step approach weaves these fragments into a more comprehensive answer, identifying and filling gaps for a more complete understanding of what I might need to know,鈥� Doug Higgins, associate lawyer, Hull & Hull LLP.

Westlaw Advantage recently launched in the U.S. and UK, and customers are already recognizing impactful benefits. 鈥淒eep Research is really easy to use. It is an order of magnitude better than any AI legal research tool we鈥檝e used, producing much deeper and more complete analysis. It can do in 15 minutes what might take a human听an entire day to do manually,鈥� stated Sam Dixon, chief innovation officer and partner at Womble Bond Dickinson UK.

Westlaw Advantage Canada is more than just a research solution; it’s a strategic element of CoCounsel, our AI technology, available to every Canadian legal professional. It speeds up research, increases confidence in findings, reveals hidden legal connections, and provides all relevant materials on one platform. The result: better-informed strategies, superior preparation for trials and client meetings, and enhanced client value.

Discover how our cutting-edge agentic AI, combined with the trusted content you rely on, can transform your legal work. Learn more about Westlaw Advantage in Canada at .

Version fran莽aise

Rehausser l鈥檈xcellence juridique : Westlaw Advantage maintenant offert au Canada

Aujourd鈥檋ui marque une avanc茅e majeure pour la recherche juridique canadienne alors que 成人VR视频, entreprise mondiale de contenu et de technologies, lance Westlaw Advantage Canada. 脡l茅ment cl茅 de CoCounsel, notre technologie d鈥橧A, cette plateforme de recherche juridique de nouvelle g茅n茅ration est con莽ue pour les cabinets d鈥檃vocats, les services juridiques d鈥檈ntreprise et les organismes gouvernementaux. Elle int猫gre de fa莽on fluide une IA agentique avanc茅e 脿 une collection in茅gal茅e de sources canadiennes fiables en droit primaire et en doctrine, notamment le Canadian Encyclopedic Digest, les collections de doctrine, ainsi que les textes et annotations th茅matiques.

Dans le contexte juridique actuel, en constante acc茅l茅ration, les professionnels doivent composer avec des charges de travail croissantes, des contraintes de temps de plus en plus serr茅es et le d茅fi permanent de rester 脿 jour face 脿 l鈥櫭﹙olution rapide et complexe du droit. Westlaw Advantage a 茅t茅 con莽u avec soin pour r茅pondre 脿 ces enjeux et transformer votre fa莽on d鈥檃border la recherche juridique. Il permet aux professionnels du droit de passer de la recherche 脿 la strat茅gie avec une rapidit茅 et une confiance sans pr茅c茅dent.

芦鈥疞a profession juridique 茅volue rapidement, tout comme les solutions qui la soutiennent鈥�, a d茅clar茅 Mary Acimovic, directrice principale de la gestion des produits chez 成人VR视频. 芦鈥疻estlaw Advantage ne repr茅sente pas une simple mise 脿 jour incr茅mentielle鈥�; il s鈥檃git d鈥檜n v茅ritable changement de paradigme. Nous avons exploit茅 la puissance de l鈥橧A agentique afin de comprendre et d鈥檈x茅cuter des t芒ches de recherche complexes comme le ferait un expert, lib茅rant ainsi les professionnels du droit pour qu鈥檌ls puissent se concentrer sur des travaux strat茅giques 脿 plus forte valeur ajout茅e. Cette plateforme incarne notre engagement envers une innovation qui ne se contente pas de r茅pondre aux besoins de nos clients, mais qui les propulse vers une toute nouvelle fa莽on de servir leurs propres clients.鈥�

La puissance de l鈥橧A agentique appliqu茅e 脿 la recherche juridique

Au c艙ur de Westlaw Advantage se trouve la Recherche approfondie avec l鈥橧A, la premi猫re capacit茅 de recherche juridique professionnelle fond茅e sur une IA agentique offerte dans l鈥檌ndustrie. La fonction Recherche approfondie reproduit les pratiques des chercheurs juridiques chevronn茅s et agit comme un coll猫gue exp茅riment茅 enti猫rement d茅di茅 脿 votre question de recherche. Elle 茅labore un plan de recherche en plusieurs 茅tapes, en s鈥檃ppuyant sur le contenu exclusif de Westlaw et sur des outils essentiels comme KeyCite et le Canadian Abridgment, afin de fournir des r茅ponses exactes, approfondies et compl猫tes. Elle affine 茅galement son processus en temps r茅el pour garantir des r茅sultats optimaux.

Optimis茅e pour une utilisation en fran莽ais et en anglais, et prenant en charge tant la common law que le droit civil, la Recherche approfondie ne laisse rien au hasard听: elle couvre l鈥櫭﹖at actuel du droit, les changements r茅cents, les incidences pratiques, les lois applicables et bien plus encore. Les utilisateurs b茅n茅ficient d鈥檜ne transparence in茅gal茅e gr芒ce 脿 des notes de recherche d茅taill茅es, 茅tape par 茅tape, qui aboutissent 脿 un rapport complet et approfondi, r茅duisant consid茅rablement les efforts manuels et acc茅l茅rant le passage de la recherche 脿 l鈥檃ction strat茅gique.

芦听La recherche juridique traditionnelle, surtout lorsqu鈥檌l s鈥檃git d鈥檜ne question 脿 la p茅riph茅rie de mon champ de pratique, peut fournir des fragments d鈥檌nformation utiles, mais rarement une vue d鈥檈nsemble compl猫te. Ce qui rend l鈥檕util Recherche approfondie de Westlaw si puissant, c鈥檈st son approche en plusieurs 茅tapes, qui permet de rassembler ces fragments en une r茅ponse beaucoup plus compl猫te, en rep茅rant et en comblant les lacunes afin d鈥檕btenir une compr茅hension globale de ce que je dois savoir听禄, explique Doug Higgins, avocat associ茅, Hull & Hull LLP.

Westlaw Advantage a r茅cemment 茅t茅 lanc茅 aux 脡tats-Unis et au Royaume-Uni, et les clients reconnaissent d茅j脿 ses avantages consid茅rables. 芦 La recherche approfondie avec l鈥橧A est vraiment facile 脿 utiliser. Elle est nettement sup茅rieure 脿 tous les outils de recherche juridique bas茅s sur l’IA que nous avons utilis茅s, car elle produit des analyses beaucoup plus approfondies et compl猫tes. Elle peut faire en 15 minutes ce qui prendrait une journ茅e enti猫re 脿 un 锚tre humain pour le faire manuellement 禄, a d茅clar茅 Sam Dixon, directeur de l’innovation et associ茅 chez Womble Bond Dickinson UK.

Westlaw Advantage Canada est bien plus qu鈥檜n simple outil de recherche鈥�: il constitue un 茅l茅ment strat茅gique de CoCounsel, notre technologie d鈥橧A, accessible 脿 tous les professionnels du droit au Canada. Il acc茅l猫re la recherche, renforce la confiance 脿 l鈥櫭ゞard des r茅sultats, met en lumi猫re des liens juridiques souvent cach茅s et rassemble tous les documents pertinents sur une seule plateforme. R茅sultat鈥�: des strat茅gies mieux inform茅es, une pr茅paration sup茅rieure pour les proc猫s et les rencontres avec les clients, et une valeur accrue pour la client猫le.

D茅couvrez comment notre IA agentique de pointe, combin茅e au contenu fiable sur lequel vous comptez, peut transformer votre pratique juridique. Pour en savoir plus sur Westlaw Advantage au Canada, visitez thomsonreuters.ca/fr

According to the 成人VR视频 Institute鈥檚 Q4 2025 Law Firm Financial Index, the fourth quarter of last year revealed an inflection point that savvy law firm leaders are already analyzing. While overall demand remained strong at 3.3% growth, the composition of that work changed dramatically. One example is M&A activity, which had been surging, decelerated sharply 鈥� dropping 5 percentage points from its third-quarter pace. Meanwhile, bankruptcy and other counter-cyclical work surged, particularly in December, echoing patterns that should feel familiar to anyone who remembers 2008.

The technology imperative

Here’s where the story gets interesting for forward-thinking law firm leaders. While firms celebrated record profits, they also doubled down on technology and knowledge management investments, maintaining double-digit growth in these areas even as they aggressively controlled other overhead expenses. This wasn’t extravagance 鈥� it was a strategic necessity.

The reason? Corporate legal departments are already ahead of many law firms in adoption of generative AI (GenAI), according to 成人VR视频 Institute data. General counsels are leveraging AI-augmented strategies to do more with less, and they’re increasingly evaluating which work truly requires premium-priced external counsel and what work can be handled more efficiently in-house or by lower-cost alternatives.

The rate increase reckoning

Further, law firms achieved something remarkable in 2025: an average 7% increase in worked rates, breaking through a two-decade threshold. Since late 2022, every 1% increase in worked rates has been correlated to more than 0.9 percentage points in profit growth 鈥� a powerful formula.

However, here’s the challenge: 2026’s rate increases are already in effect and expected to match or exceed 2025’s levels. This comes precisely as clients face tightening budgets and economic uncertainty. The risk isn’t just client pushback on rates and ultimately services, it’s having clients fundamentally rethink their legal spend strategies.

We’ve seen this before. After 2008, firms experienced a stagnant decade as clients moved more work in-house and demanded more value for their dollars. Today’s GCs have even more tools at their disposal, from legal operations expertise to advanced AI technology platforms that make moving work in-house more viable than ever.

The path forward

The law firms that will thrive in this environment and lead the industry going forward won’t be those resting on 2025’s laurels. They’ll be the ones treating this moment as an opportunity to lock in competitive advantages through investment in technology and innovation.

This means more than just buying AI tools 鈥� it requires reimagining service delivery, reviewing pricing models, demonstrating measurable value, and using technology to enhance both efficiency and quality. Law firms that invested heavily in technology and knowledge management during 2025’s profitable run positioned themselves well. Those that continue this trajectory while managing expenses diligently will have the resources to weather whatever comes next.

The environment is changing, but it isn鈥檛 hostile 鈥� yet. Law firms that are yet to be proactive, and capitalize on the AI era, still have time to innovate and demonstrate their value as clients鈥� options expand. The real issue is whether law firms will act now to stay ahead of these changes.

Download the Q4 2025 Law Firm Financial Index report here.

Tax, Audit and Accounting has always been a profession built on rigor and responsibility. But the reality of running a modern tax practice is that complexity keeps rising, timelines keep tightening, and client expectations keep evolving. Firms are being asked to do more, faster鈥攚ithout compromising quality.

Why this matters for firms

This recognition is not just about a new solution being introduced鈥攊t’s about what firms are prioritizing right now. Across the industry, leaders are focused on creating repeatable capacity鈥攏ot just surviving busy season, but building workflows that are reliable year-round. That means reducing friction in the return process, improving consistency across teams, and ensuring professionals have the time to apply judgment where it matters most.

That’s the lens I bring to . It’s designed to support the parts of the tax return process that can slow teams down, so professionals can stay focused on the work of humans: review, judgment, accountability, and advising clients with confidence.

Restoring time for professional judgment

There’s a lot of discussion about automation and the future of work. What I see in firms today is more practical: talented professionals spending too much time on repetitive steps, and not enough time on review, coaching, and client conversations.

The opportunity here is to shift time back to the professional鈥攕o firms can:

• Strengthen quality and consistency
• Improve responsiveness to clients
• And make the work more sustainable for teams

Honorable Mention: Ready to Advise

Accounting Today also gave an Honorable Mention to , which is aimed at supporting tax planning and advisory services.

That matters because once firms create more capacity, the next question is how to use it. Many firms are looking to grow advisory in a way that’s scalable and consistent 鈥� grounded in strong workflows and clear client outcomes.

Recognition like this is meaningful for us at 成人VR视频鈥攂ut it’s even more meaningful because it reflects progress our customers can feel. When firms can rely on their technology to create more capacity and consistency in the work, they can serve clients with greater confidence, support their teams through peak demand, and make the practice more sustainable. That’s the kind of win we’re focused on: one that strengthens firms and the professionals who power them.

This post was authored by Elizabeth Beastrom, President of Tax, Audit & Accounting Professionals at 成人VR视频.

Ready to Review听is our new cloud-based, agentic AI tax workflow solution built on听CoCounsel.听For tax year 2025, it听modernizes 1040听tax听return听preparation听and is designed to take on the heavy, repetitive work of gathering client documents and preparing returns鈥攕o tax professionals can focus on what drew many of us to this profession in the first place: problem solving, critical thinking, and delivering great counsel to clients.听

For too long, firms have been stuck in a pattern that everyone recognizes as unsustainable鈥攅ver more complex returns, tighter deadlines, and mounting pressure on teams already stretched thin. Busy season has become synonymous with burnout and staffing strain. AI alone听won鈥檛听fix that, but AI put to work in the right way鈥攖hrough agentic AI that is deeply embedded into tax workflows鈥攃an fundamentally change the equation.听

The goal is not to replace professional judgment, but to clear away the manual, time-consuming tasks that prevent professionals from using that judgment to its fullest. Ready to Review gives firms a single, cloud-based, scalable platform that automates the gather and tax prep stages of the听workflow鈥攈elping firms manage more individual returns with existing staff while听maintaining听quality and control.听

We鈥檙e听already seeing the impact. Indiana-based CLH CPAs & Consultants听participated听in our early adopter program and saw听the potential for听transformative time savings. As Bob Lange, Partner at CLH, told us:听鈥淩educing return preparation time by听approximately an听hour on each simple 1040 is significant in terms of efficiency gains. For firms like ours, these time savings will be a game changer.鈥�听

I鈥檝e听said before that I expect firms will听ultimately pair听each CPA with at least one virtual agent. Ready to Review is a tangible step in that direction. It brings that 1:1 vision closer to reality by embedding Gather and Tax Preparer AI agents directly into the 1040 workflow in a way听that鈥檚听responsible, auditable, and grounded in trusted 成人VR视频 tax content and compliance听expertise.听

As solutions like Ready to Review become part of the day-to-day fabric of tax work,听we鈥檒l听see fewer 80-hour听weeks听and more time spent on the nuanced, client-focused work that truly differentiates firms.听We鈥檒l听make room for new talent who are excited about a career that leans into analysis and advisory rather than pure grind.听听

Ready to Review is now generally available in the United States for 1040 use cases, and its launch marks an important milestone in our broader journey with agentic AI on the听 platform.听It鈥檚听one more way听we鈥檙e听helping firms modernize in a way that is practical, grounded, and built for the realities of tax season.听

This post was authored by听Elizabeth Beastrom,听President of Tax and Accounting Professionals at听成人VR视频.听

Twelve months later, the collaboration between 成人VR视频 and Safe Sign continues to be one of the most exciting engines of innovation in our company. Together, we are building a foundation for the next era of professional-grade AI: one that combines frontier research, trusted data, and deep domain expertise.

Since joining 成人VR视频, the Safe Sign team has become part of one integrated research organization within TR Labs, now known as鈥疐oundational Research. What began as a 15-person startup has grown into a 50-person global group that works seamlessly alongside our engineers, data scientists, and subject-matter experts across legal, tax, accounting, and compliance. Together, we are combining frontier research talent and deep domain expertise to accelerate development of the鈥扇薞R视频 large language model, trained on professional-grade data and purpose-built for high-stakes work.

General-purpose models have unlocked incredible capabilities in language understanding and reasoning. But professionals work differently, and their tools must reflect that. Broad models are not optimized for the standards of accuracy, context, and accountability that legal and tax professionals require. They are powerful, but they are not precise.

A purpose-built model changes that. By training a purpose built LLM on decades of 成人VR视频 content and data, and by learning directly from thousands of subject-matter experts, our model can reason the way professionals do. It can connect facts with context, apply appropriate logic to specific scenarios, and provide grounded, verifiable output that supports confident decision-making. The result will be a model designed not for conversation, but for action and trust. A model that understands how real professional work gets done.

鈥淭his first year has shown what happens when world-class AI research meets trusted domain expertise,鈥� said鈥�, co-founder of Safe Sign and now Head of Foundational Research within TR Labs. Before joining 成人VR视频, Jonathan spent鈥痵even years as a senior researcher at Google DeepMind, where he helped pioneer methods in large-scale model training and neural optimization. 鈥淲e are combining deep technical innovation with the quality and structure of 成人VR视频 data,鈥� he said. 鈥淭hat partnership allows us to move faster, train smarter, and build something truly differentiated for the professional world.鈥澨�

The collaboration extends beyond our own teams. Through the new鈥�Frontier AI Lab with Imperial College London, co-led by Jonathan, we are tackling some of the most important challenges in AI, including safer model training, efficient evaluation, and the long-term societal impact of advanced systems. This partnership reflects our belief that responsible innovation begins with scientific rigor and openness.

All of this work is paving the way for what comes next. In 2026, we intend to bring to market the first 成人VR视频 large language model designed from the ground up for professional-grade performance. It will combine our trusted content, unique data architecture, and agentic AI capabilities to deliver accuracy, transparency, and reliability at scale.

We are building a future where intelligence is not abstract and relegated to the written word but applied and embodied via AI. An industry first, where AI becomes the operating layer for professional work. And where innovation happens not just in research labs, but in the hands of professionals who depend on 成人VR视频 to move faster, think smarter, and act with confidence.

In just one year, this collaboration has shown what鈥檚 possible when bold vision meets real鈥憌orld scale. The year ahead will push the boundaries of professional鈥慻rade AI and set a new benchmark for what the industry can achieve.