Consulting firms and law firms alike operated for decades on a simple principle: an hour worked equals an hour billed. Now that principle is crumbling. Artificial intelligence can search for source materials, draft an initial contract, or analyze data in a fraction of the time, and clients are asking ever more loudly why they should pay for work that a machine can complete in moments. The tension experts predicted years ago is finally spilling over into practice.
Searching for a new model
The Wall Street Journal described how major consulting firms are grappling with a transformation in the way they charge clients. McKinsey, Boston Consulting Group, and Bain are all experimenting with moving away from hourly rates. McKinsey has gone the furthest so far. The firm says that more than thirty percent of its global revenue already comes from models tied to outcomes rather than time worked.
Clients are reportedly becoming more likely to approach firms not with a predetermined scope of work, but directly with the outcome they want, and ask for a price quote. According to the report, McKinsey’s internal assistant named Lilli processes more than half a million queries a month, and consultants report time savings of up to around thirty percent on knowledge work.
The transition is not going smoothly everywhere. At an internal Deloitte meeting, a presentation made consultants nervous. Management showed a chart indicating that by 2035, traditional hourly billing would shrink to a thin sliver of the overall market. Software assistants are expected to take over the rest. Some consultants are saying that their model has reached its end and that machines will replace them.
However, switching to fixed prices or outcome-based compensation comes at a cost. If an engagement runs longer than planned, the firm pays the difference out of its own pocket. Payments become unpredictable, cash flow problems loom, and disputes over what success actually means can destroy the client relationship.
Lawyers calculate how many hours AI actually adds
Law firms are facing similar pressure, but an opposing view is also emerging there. Data from Clio shows that the problem is not a lack of work, but how much of it can actually be billed. According to its survey, the average lawyer records only 2.9 hours of an eight-hour day as billable work. The remaining 5.1 hours are consumed by administration, document management, and routine communication.
Here, paradoxically, artificial intelligence tends to increase the number of billable hours. It captures work continuously throughout the day, generates initial drafts within minutes, and records time automatically. As a result, a lawyer reports more completed work at the end of the day than before, when they had to rack their brain in the evening to remember what they had actually accomplished. Clio estimates that artificial intelligence tools can reduce cognitive strain by roughly a quarter, particularly in billing and document review.
The benefits vary from person to person. Junior lawyers benefit mainly from faster writing and research. Partners can supervise more cases at once. And solo lawyers save the most on administration they previously handled themselves in the evenings.
The hourly rate is not dying, but what underpins it is changing
Kyle Poe of Legora points out that the death of hourly billing in law has been predicted since the 1970s. It was supposed to be killed by document automation, electronic discovery, and search software. Each time, it survived. The reason, he says, is clear: an hourly rate is not just a price list; it is a way of shifting risk onto the client. If an engagement becomes more complicated, the client pays more. If it remains simple, the client pays less. The firm is protected.
According to Poe, artificial intelligence does not act like an explosive, but like an accelerator. Its deeper impact lies not in speed, but in predictability. When a machine makes work repeatable and consistent, a firm knows for the first time how much a task will actually cost. And whatever it can price reliably, it can offer for a fixed fee.
In fact, the shift is already underway; it is simply not called that. According to a Best Law Firms survey of more than 4,800 U.S. law firms, 72 percent now offer some form of alternative billing, rising to 90 percent among large firms with more than fifty lawyers. The accounting profession underwent the same transformation twenty years ago: routine work moved to fixed prices, while complex assessments remained hourly.
Fixed prices, caps, and billing for computing power
Firms that are managing the change successfully are not betting on a single replacement. They are assembling a range of models and assigning them according to the nature of the work. A fixed price is suitable for predictable and repeatable tasks, such as contract review. Capped fees and phase-based billing make sense in litigation, where the investigation, filings, and trial itself can each be priced separately.
Another model is also on the horizon, although it has yet to establish a firm foothold: billing for computing power used. As software assistants take over more of the actual work, a person’s time ceases to be the metric. Instead, the calculation is based on the searches the machine processed, the documents it reviewed, and the drafts it created. The firm pays for the computing, adds its own judgment and oversight, and bills the client for it.
According to Poe, pricing innovations do not emerge with existing clients, but in competitive bids for new work. Changing the pricing structure in the middle of a long-standing relationship is tricky. For a new engagement, however, a firm can offer a different model as a competitive advantage, gain experience with it, and only then approach existing clients with data in hand.
According to published guidelines, Ford’s legal department plans to reward outside firms that adopt artificial intelligence most quickly and limit work for those that fall behind. Cooley CEO Rachel Proffitt told Bloomberg Law that hourly rates will eventually lose their central position, although they will not disappear overnight. They will remain where time is genuinely the best measure of value: in complex, high-stakes cases.
