Lawyers have always been accountable for their work. That was true before AI, and it is just as true now. A brief carries your name. An argument carries your judgment. A citation carries your reputation. None of that changes because an AI tool helped you produce it faster.听
That鈥檚听why when firms talk about adopting AI for legal work, the first question听shouldn’t听be about speed or cost savings. It should be: can I听actually verify听what this produces? If you听can’t听trace an output back to its source, check whether that source is still good law, and inspect the reasoning that connected the two, you听don’t听have work product. You have a draft you听can’t听stand behind.听
That standard is not new.听What’s听new is how many lawyers are finding out the hard way that the AI tools they adopted听weren’t听built with it in mind.听
Courts across the United States have now sanctioned attorneys for听submitting听briefs with fabricated citations, false quotes, and mischaracterized precedent 鈥� all generated by AI and not verified by the attorneys. When those tools are built on content scraped from the web rather than authoritative legal sources听maintained听by practicing attorneys, the risk of error is structural. The AI has no way to know whether a case is still good law, whether a statute has been amended, or whether a citation听actually supports听the argument听it’s听being used to make. Verification becomes difficult not because the tools听don’t听show their work, but because the underlying sources听can’t听be trusted in the first place.听
At听Thomson听Reuters,听we听understand听that lawyers听don’t听just need to find the law 鈥� they need to be able to stand behind what they find.听We鈥檝e听always built Westlaw听and Practical Law听with that in mind, and听it’s听the same principle we carried into CoCounsel Legal from the very beginning.听
Built for Verification at Every Stage听
When we designed CoCounsel Legal, we started from a simple premise: a lawyer should be able to verify everything the AI produces before putting their name on it. That meant building听tools that give attorneys everything they need to do that听verification听themselves,听at every stage of the workflow.听
As the research unfolds,听Deep Research听shows you its work in real time, step by step. You can follow the reasoning as it develops,听explore听findings as they听emerge, and听refine听the research with more specificity听by answering听additional听questions.听听
As citations are built, two things work in parallel.听KeyCite听is woven into every stage of the research workflow, flagging cases overruled in part, warning of proposed amendments to statutes, and surfacing cases that are听frequently听cited together even when they听don’t听cite each other. Alongside it,听CoCounsel Legal’s patent-pending citation ledger听tracks every source the AI draws on throughout the research process and confirms that each source was听actually read听and reviewed 鈥� not just referenced.听Together, they give attorneys what they need to听answer the question听that听should听precede every citation听they rely on: does this hold up?听
Before anything goes out, two more layers of review engage.听The Verify function, launched in February 2026, surfaces every assertion made in the research report alongside the relevant source passages and pointers for听additional听research 鈥� giving attorneys everything they need to听verify听before anything goes out the door.听Litigation Document Analyzer听goes further听by听identifying听potential misrepresentations of law throughout an entire brief, your own or opposing counsel’s. Because in litigation, what a document implies about the law matters just as much as what it explicitly says.听
Every one of these capabilities exists for the same reason: because when you use AI to do legal work, you are still the one responsible for it.听听
The Question Every Lawyer Should Be Asking听
Not all legal AI is built the same way.听Some tools are little more than general-purpose foundation models with a legal label applied 鈥� with little ability to confirm whether the underlying sources are current, authoritative, or accurately represented in the answer.听They can be fast. They can be impressive in a demo. But when a client’s matter is on the line and a judge is asking questions, impressive in a demo is not the standard that matters.听
At 抖阴成年,听fiduciary鈥�grade听AI is our standard for how AI should work in听high鈥�stakes professions.听听It鈥檚 AI designed for professionals – built on our authoritative content; protected by rigorous privacy and security safeguards; shaped and validated by subject鈥�matter听experts; and designed to produce transparent outputs that can be verified.听听
We鈥檝e spent decades earning the trust of the legal profession. That history shaped how we built CoCounsel Legal. When your firm is evaluating which AI tools to adopt, the conversation about speed and efficiency matters. But it shouldn’t be the only conversation. Ask how the system handles accuracy. Ask what happens when you need to trace an output back to its source. Ask whether you can actually verify what it produces before your name goes on it. Those questions will tell you everything you need to know about whether a tool was built for legal work or just marketed to it.听
Lawyers have always been accountable for what they put their names on. The right AI gives you the tools to meet that accountability 鈥� and the confidence to know you have.
