A&O Shearman Commits $1.1 Billion to AI, Paid Mostly in Billable Hours

A&O Shearman announced a $1.1 billion commitment to artificial intelligence over five years on 5 November, but most of that figure will not be cash leaving the building. It will be lawyer time. Each practice must devote at least 3 per cent of its hours to building specialist AI tools and services, meaning fee-earning effort, not cheques, forms the bulk of the pledge.

The comparison was immediate. Kirkland & Ellis said in May it would put $500 million of revenue into a proprietary AI platform over three to four years, and Kirkland's money is cash: engineers, data scientists, chips, and a smaller pot for equity partners. A&O Shearman has not said how much of its $1.1 billion is cash.

How Does the Math Work?

The firm turns over roughly $3.7 billion a year. Three per cent of that is about $110 million annually, or around $555 million over five years at flat revenue. That arithmetic explains how most of the headline figure can consist of lawyer time before anyone buys a single software licence. In headline dollars, A&O Shearman's bet exceeds Kirkland's. In dollars that actually leave the building, nobody outside the firm knows.

That does not make the pledge trivial. Diverting 3 per cent of fee-earning time is real revenue forgone, and arguably a more radical statement than writing a cheque, because it changes what counts as productive lawyer work.

Global managing partner Hervé Ekué framed the stakes directly: "This significant investment signals where we intend to take the firm over the next decade."

Is the Firm an Early Mover?

A&O Shearman was not a late convert. The firm says it was the first to deploy generative AI enterprise-wide when it rolled out Harvey in 2022. It has since built its own products, including ContractMatrix. The firm claims 96 per cent of partners used its AI tools in September.

The announcement leaves open how the 3 per cent commitment counts toward individual hours targets and partner pay. Partnership committees, historically, have not rewarded hours that did not bill.

Who Gets the AI Savings?

When technology cuts the time a job takes, someone pockets the difference, and the firm's own numbers hint at the answer. A&O Shearman's fixed-fee income is up 15 per cent in two years, partly thanks to AI, though most fees are still billed by the hour. Partners will want to protect profits per equity partner, currently $2.9 million. Clients expect lower bills. Associates will wonder what happens to their targets.

Under fixed fees, faster delivery fattens margins without shrinking the invoice. Clients will tolerate that until they discover the work took a fraction of the time it used to.

What Did the Courts Just Say About AI and Fees?

On 30 October, the US Court of Appeals for the Tenth Circuit upheld a $114,663 fee award to Brownstein Hyatt Farber Schreck, rejecting an argument that the firm's AI use made its hours unreasonable. The challenger had to show AI actually caused excessive billing, and could not. The ruling is a fee-shifting decision, and the court reminded counsel that AI output must be verified. Accurate billing remains a professional obligation, whatever the software does.

For practitioners, the decision offers a measure of protection: adopting AI does not, by itself, render a fee claim vulnerable. But the burden framework invites future challengers to produce concrete evidence tying specific AI use to padded hours, and the verification warning signals that courts will expect counsel to stand behind machine-assisted work product.

What Does This Mean for the Training Model?

The deeper threat is to how BigLaw trains its lawyers. Junior lawyers have traditionally learned through research, document review, drafting and due diligence. If AI absorbs much of that work, firms must rethink how associates build expertise and how their contribution is measured. The lawyer who builds a workflow that saves a thousand hours may be worth more than one who records another hundred.

The significance is not the eye-catching number. It is that A&O Shearman is redirecting fee-earning time toward technology that could change how those fees are earned, while still billing most work by the hour. BigLaw spent decades teaching lawyers that time is money. A&O Shearman has taken that literally: it is funding its AI future largely in billable hours, betting that one day the hours won't be the product.