1 Million Lawyers Just Started Using AI – And It’s Doubling Every Quarter
Here’s a number that should reframe how you think about AI adoption in ‘traditional’ industries: one million legal professionals are now actively using AI for research and drafting through Thomson Reuters’ CoCounsel platform.
And AI-enabled products now represent 30% of Thomson Reuters’ entire annualized contract value – up from 15% just quarters ago.
Thomson Reuters reported Q1 2026 earnings on May 5, 2026: $2.1 billion in revenue, up 10% year-over-year. But the AI story inside those numbers is the real headline.
The Full Case Study
Thomson Reuters built CoCounsel – an AI assistant trained on Westlaw’s authoritative legal database – and Westlaw Advantage, an agentic deep-research product that can synthesize complex legal queries across millions of cases and statutes in minutes.
Lawyers can ask it questions the way they’d ask a senior associate: ‘Find every precedent on this issue in this jurisdiction.’ ‘Draft a summary of my rights under this contract.’ ‘Identify the risk in clause 12.’
The Q1 2026 results:
- CoCounsel reached 1 million users
- Monthly AI standalone subscriptions quadrupled year-over-year
- Westlaw Advantage tracking faster adoption than Thomson Reuters’ previous two upgrade cycles
- AI-enabled ACV jumped from 15% to 30% of total in just a few quarters
- Free cash flow reached $332M in Q1, up 19% year-over-year
Why This Actually Worked
The legal industry has long been seen as technology-resistant – for good reason. Lawyers are trained to distrust unverifiable sources. Thomson Reuters solved this by anchoring AI output to Westlaw’s authoritative legal database, where every AI answer can be traced to a citable source.
This is the trust architecture that professional AI adoption requires. You can’t just give lawyers a chatbot. You give them an AI that cites the Westlaw case, so they can verify and stand behind the answer in court.
Second principle: they priced AI separately. Standalone CoCounsel subscriptions signal that customers aren’t just tolerating AI – they’re choosing to pay for it. That’s the difference between a feature and a product.
I’m Mike Partners, and I started AiExpert.org to bridge the gap between enterprise AI strategy and small business reality. Here’s your action plan.
Your action step this week: Take one contract or legal document you’re currently reviewing and run it through an AI tool – ChatGPT, Claude, or a specialized tool like Harvey. Ask it to identify the three highest-risk clauses and summarize your obligations. Compare the output to your own read. You’ll immediately see how much review time AI can save before you ever involve outside counsel.
The SMB Playbook
- Ask your attorney if they’re using AI research tools. AI-assisted research should take hours off a research task. If your attorney is billing full manual research time, you may be subsidizing their technology lag.
- Review contracts yourself with AI first. Tools like CoCounsel, Harvey, and even a well-prompted ChatGPT can flag common risk clauses before you pay an attorney to review them. Use AI as your first pass, attorney as your final check.
- Consider AI-native legal services for standard work. Platforms like Clerky and new AI-native law firms are delivering faster, cheaper legal work for standard agreements. If your needs are routine – employment agreements, NDAs, vendor contracts – these are worth evaluating.
Frequently Asked Questions
How is Thomson Reuters CoCounsel changing legal research?
CoCounsel is an AI assistant trained on Westlaw’s authoritative legal database that can synthesize complex legal queries across millions of cases and statutes in minutes. It now has over one million active users. Unlike generic AI tools, every answer traces back to a citable legal source, which is why lawyers – who are trained to distrust unverifiable information – have adopted it at record speed.
Can small businesses use AI for contract review instead of hiring a lawyer?
AI should be your first pass, not your only pass. Tools like ChatGPT, Claude, or Harvey can identify high-risk clauses, summarize obligations, and flag common issues in contracts before you involve outside counsel. This can cut your legal review costs significantly by reducing the hours your attorney needs to spend. Mike Partners recommends running every contract through AI before sending it to your lawyer.
What AI tools are available for legal document review in 2026?
The leading options include Thomson Reuters CoCounsel for comprehensive legal research, Harvey for AI-powered legal analysis, and general-purpose tools like ChatGPT and Claude for contract review and summarization. For small businesses with routine legal needs like NDAs and vendor contracts, AI-native legal platforms like Clerky offer faster and more affordable alternatives to traditional firms. Learn more about applying AI to professional services at AiExpert.org.
How much can AI reduce legal costs for a small business?
If your attorney currently bills 5-10 hours for contract review and legal research, AI-assisted first-pass review can cut that to 1-3 hours of attorney time for final verification. For a business spending $30,000-$50,000 annually on routine legal work, that could translate to $15,000-$30,000 in savings while maintaining the same quality of legal protection.
Is AI-generated legal research reliable enough to use in court?
When anchored to authoritative databases like Westlaw, AI-generated legal research can be highly reliable because every citation traces to a verifiable source. Thomson Reuters built this trust architecture specifically because lawyers need to stand behind their research in court. The key distinction is between AI tools that cite sources and generic chatbots that do not – always verify citations before relying on them in any legal proceeding.
