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A model built on an information gap
For decades, the hourly billing model was a masterpiece of elegant simplicity. Clients needed expertise. Expertise took time. Time got billed. Everyone understood the deal, even if nobody particularly loved it.
It worked because firms held the information advantage. They knew how long things should take. Clients didn't. Time became the default proxy for value, and the side that understood the work was also the side setting the price. The whole industry built itself around that asymmetry. Hiring models, pricing structures, profitability logic, partner compensation. All of it, quietly, resting on an information gap that nobody had reason to close.
Then AI closed it.
In January 2026, Thomson Reuters and Georgetown Law's Center on Ethics and the Legal Profession published their annual State of the US Legal Market report. One number should keep every professional services leader awake. 90% of all legal spending still flows through standard hourly rate arrangements. The same structure that has dominated since the 1950s. Meanwhile, law firm technology spending grew 9.7% in 2025 and knowledge management spending grew 10.5%, the fastest real growth the industry has likely ever seen.
The report called this "an almost absurd tension." Firms are deploying AI tools that finish in minutes what used to take hours, then trying to bill for those hours anyway. Document review, data analysis, research, first drafts. The tasks that filled timesheets for decades are now compressed into seconds. The maths stops working unless firms can raise rates fast enough to offset the efficiency gains. And clients are not eager to watch all those productivity savings flow straight into law firm profits.
That is what makes AI different from every previous wave of technology in professional services. Email made communication faster but did not change how long the work took. Cloud storage made files accessible but did not touch the billing model. AI does both. It shrinks the work itself, and in doing so, it exposes the gap between effort and price that the hourly model has quietly relied on for seventy years.
AI is the comet.
Clients are already doing the maths
In February 2026, the Financial Times reported that KPMG International pressured its own auditor, Grant Thornton UK, to cut fees because AI should be making audits faster and cheaper. KPMG argued that efficiency gains from automation ought to show up in the price, and reportedly threatened to switch auditors if Grant Thornton did not agree to a significant reduction. UK Companies House filings show the result. Grant Thornton's audit fee dropped from $416,000 to $357,000. A 14% cut in one year.
That story matters well beyond accounting. KPMG handed every professional services client in the world a negotiation script. If the firm doing the work says AI makes it faster, the client paying the bill will ask why the price has not changed.
This is already playing out in legal. The Thomson Reuters report found that corporate legal departments want their outside firms to propose billing structures that reflect AI's efficiencies. Firms, meanwhile, complain that clients convert every alternative fee proposal back into hourly rates and compare it to last year's numbers. Both sides are waiting for the other to blink. Both sides are still operating under a billing system that makes less sense with each passing quarter.
Among law firms already using AI widely, nearly half have adjusted their pricing. Some charge more. Some charge less. Those that have not had that conversation yet are behind.
The part most firms are underestimating
The hourly model did not survive for decades because clients loved paying by the hour. It survived because the alternative, pricing on outcomes, required something most firms could not offer. Visibility. Clear scope, traceable progress, and a way for clients to see what was happening and feel confident they were getting what they paid for.
Outcome-based pricing sounds attractive until you realise it demands operational clarity that email threads and status update calls cannot provide.
Fixed fees need well-defined scope. Milestone pricing needs visible progress. Subscription models need repeatable, legible outputs. All of them need the same thing underneath. A client who can see what is happening, and a firm that can show its work without a weekly catch-up call.
That is an infrastructure problem. Most firms are trying to solve it with an inbox.
The Thomson Reuters report confirmed this gap. It described a standoff between firms and clients that "would be comical if the stakes weren't so high." Neither side is having the honest conversations needed to break the impasse, because neither side has the operational visibility to make a new pricing model work. Firms cannot scope what they cannot see. Clients cannot trust what they cannot track.
The dust cloud
The dust cloud after an impact is not the explosion. It is the slow change in conditions that decides who survives. Most firms are in that dust cloud right now. The old model still mostly works, clients are not leaving yet, and revenue looks fine from the outside.
But the ground is shifting. Thomson Reuters Financial Insights is forecasting demand softening by mid-2026, with the potential for contraction. The report noted that the legal industry "has a peculiar historical habit of surging just before it stumbles," pointing to similar peaks before the 2008 financial crisis and the 2022 inflation crunch. Firms that mistook those temporary peaks for permanent shifts ended up with bloated cost structures when conditions reversed.
The firms building toward outcome-based pricing today are the ones who will charge more as AI compresses the hours. Everyone else will be scrambling to explain why they are charging the same for less.
Remember, the dinosaur species that became birds were already different before the comet hit.
Worth thinking about, for any firm still billing purely by the hour. What are we building right now, so that the model still works when the dust settles?
Alkmist builds structured collaboration infrastructure for professional services firms. Full visibility over every engagement, for the team running it and the client inside it. For firms moving toward outcome-based pricing, that visibility is where the new model starts.
Sources
- Thomson Reuters Institute & Georgetown Law Center on Ethics and the Legal Profession. 2026 Report on the State of the US Legal Market. January 7, 2026. Coverage and key findings via LawNext
- Financial Times. KPMG pressed its auditor to pass on AI cost savings. February 2026. Also reported by The Irish Times, TheStreet, and TechSpot.
