The AI question for lawyers now is fees, not fascination
Courts are punishing the sloppy end of AI use, but the bigger shift for working lawyers is that clients are already pricing around efficiency and expecting firms to prove they can deliver it.
An AI-assisted editorial, reviewed by a human before publishing. It reasons over our own tracker data (and cited context) — a point of view, not legal advice.
The loudest AI story in law is still the courtroom mess: fake citations, dead-plain embarrassment, and the occasional fine. But the quieter story is the one that will hit most practicing lawyers first. Clients are starting to expect lower fees, firms are reorganizing around AI, and the market is moving from whether you can use these tools to whether you can turn them into something billable without looking amateurish. That is not a future problem. It is a budgeting problem, a staffing problem, and a credibility problem, all at once.
The hard numbers are already there. Our database tracks 53 verdicts worth a combined $7,480,201,108, including the $1.5 billion Johnson & Johnson talc verdict for Cherie Craft in Maryland, the $1 billion Mae Moore talc verdict in California, and the $885 million Takeda pay-for-delay antitrust award. Those are not rounding errors. They are reminders that litigation still rewards scale, pressure, and preparation. AI will not change the fact that big cases turn on big judgment. It will change how much time a firm can spend getting to that judgment before the client starts asking why the meter is spinning so fast.
AI is no longer a novelty in law. It is becoming an expectation.
The market is already asking for less drag
The pressure is not theoretical. One of the clearest signals in the material is Actionstep’s 2026 midsize law firm report, which says 95% of firms are using AI in some capacity and 78% expect clients to demand lower fees. That is the real threat to the comfortable middle of the profession. Not robot judges. Not instant replacement. Just a client who notices that the work got faster and decides the bill should, too.
Firms are responding in ways that would have sounded extravagant not long ago. Kirkland & Ellis has earmarked $500 million of revenues to develop its own AI platform. Cleary Gottlieb bought Springbok AI and brought engineers in-house. Tarter Krinsky & Drogin launched a firmwide Office of AI and Innovation. These are not public-relations decorations. They are answers to a commercial question: if AI helps cut the labor in routine work, who captures the value — the firm that built the system, or the client who refuses to pay for inefficiency?
The competent lawyer will use AI; the careless one will subsidize the train wreck
There is, of course, a bright line the profession should not pretend is blurry. AI sloppiness is still getting lawyers in trouble, and the sanctions record is no longer anecdotal. In Coomer v. Lindell, defense counsel filed a brief with nearly 30 defective citations and cases that do not exist, then was sanctioned after admitting unverified AI use. In New York City, a lawyer using Microsoft Copilot filed a brief riddled with fake cases and was fined and referred for discipline. In California, counsel in a custody fight over a dog filed briefs with fabricated cases and the Court of Appeal fined Roxanne Chung Bonar $5,000. The lesson is not subtle: if you cannot verify the work, you are not using AI professionally; you are outsourcing embarrassment.
But the better lesson for a working lawyer is more useful than moral panic. The tools themselves are not the problem. The problem is treating them like a magic clerk instead of a junior that needs supervision. That is why a federal judge in Oregon declined formal sanctions against Buchalter after a filing contained fake case citations from AI use, while other courts imposed fines, fees, and referrals. The line between a mistake and a disciplinary event is not the software. It is the lawyer who signs the paper.
What this shift means right now
The profession is heading toward a split that is less dramatic than the apocalypse crowd promises and more unforgiving in practice. Lawyers who understand how to use AI to move faster, draft cleaner, and reduce waste will have an advantage. Lawyers who use it carelessly will hand their opponents both a motion and a punchline. And lawyers who ignore it will still be affected, because their clients will not ignore the firms that can do the same work with less friction and a straighter face.
If you want the cleanest reading of the moment, it is this: AI is no longer a novelty in law. It is becoming an expectation, and expectations tend to get enforced by markets before they get enforced by judges. The verdicts show where the stakes remain enormous. The sanctions show where sloppiness is still punished. The firm investments and client adoption show where the money is headed. A lawyer who thinks this is all about fascination with tools is already behind.