AI for Legal

Why AI Matters for Legal

Clients are demanding alternative fee arrangements. Discovery volumes are doubling every two years. Junior associates are drowning in document review instead of developing legal judgment. Meanwhile, Allen & Overy, Clifford Chance, and Latham & Watkins are already deploying AI across their practices.

The billable hour is under siege

For over a century, law firms have operated on a simple economic model: bill by the hour. The more hours a matter requires, the more revenue it generates. Every associate, every paralegal, every partner measures their professional contribution in six-minute increments.

That model is fracturing. Corporate clients — the general counsel offices that generate the majority of Am Law 100 revenue — are pushing back harder than ever. A 2024 survey by the Association of Corporate Counsel found that 78% of in-house legal departments now require or prefer alternative fee arrangements for at least some of their outside counsel work. Fixed fees, capped fees, success-based fees, and blended rates are displacing the open-ended hourly engagement.

The reason is straightforward: clients have access to more data about legal costs than ever before. Legal operations teams benchmark matter costs across firms. E-billing platforms flag outliers. And when a client sees that one firm took 400 associate hours for a contract review that another firm completed in 150, they ask why.

This is not a temporary trend. It is a structural shift. And it means that the firms which can deliver the same quality of work in fewer hours will win the engagement — while the firms that rely on volume billing will lose it.

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How is your firm or legal department experiencing fee pressure?