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Law Firms

AI handles the first-pass review now. Your clients expect the invoice to shrink with it.

Productize contract review at a flat fee, and you capture the speed instead of discounting it. Foley Equipped and Wilson Sonsini’s Neuron Platform already do.

What firms like yours are designing in the Workshop.

Most firms feel the itch and start experimenting: a few tools, a pilot, a project that looked promising on paper. The expensive version is finding out a year in that clients won’t pay for it. Whether you’re still deciding where to start or already two pilots in, the Workshop narrows what you take to your clients before you commit more budget to building it.

Every engagement is different. Your team’s domain expertise is the input. These are the kinds of offerings law firms leave with, specified and priced. Your team tests them with named clients, then builds what earns it.

The three shifts behind these offerings

2 of 3

corporate legal teams want their outside firms using AI.

Thomson Reuters Institute 2026

38%

of professionals in law, tax, and finance use AI tools built for the work.

BCG, 2025

Firms with a written AI strategy see positive returns three times as often.

Thomson Reuters, 2025

Questions

No. AI drafts and reviews faster than any associate, yet the judgment and the client relationship a matter turns on stay with the lawyer. The business model is what bends: partner profits ride on a pyramid of junior hours, and AI compresses exactly that junior work. Two-thirds of corporate legal departments now expect their outside firms to use AI (Thomson Reuters Institute, 2026), and they want the savings in the bill, so a firm that prices by the hour watches revenue fall with the hours.

AI cuts contract review and research time 60–70%. Clients have noticed. Innovation directors at global firms are hearing “we expect AI to make things less expensive. Figure that out or we'll pay you 20% less.” 71% of legal consumers already prefer flat fees over hourly billing (Clio Legal Trends 2025). The hourly model isn't dying. It's repricing.

Three offerings work today. Fixed-fee due diligence priced by deal complexity, not hours. Subscription compliance monitoring for clients in regulated industries. Rapid contract analysis with 48-hour turnaround at premium pricing for speed. Each repackages AI savings as new capability, capturing the upside instead of passing it through as discounts.

80% of legal fee arrangements are still hourly, but flat-fee billables grew 34% from 2016 to 2025 (Clio Legal Trends 2025). The shift toward alternative fee arrangements is already underway. Firms that move first set the terms in their market. Firms that wait react to terms someone else set. The risk is staying on hourly while clients negotiate against it.

Partner profits run on associate ratios, where junior work generates the margin senior partners take home. AI compresses that work. Harvey's co-founder says firms will shift from throughput-focused hierarchies to judgment-centered structures. The change is coming. Firms that decide what to build next set the terms; Crosby and Lawhive are already building those offerings.

41% of law firms now use generative AI organizationally, double the prior year. 92% of legal professionals use at least one AI tool, and 81% of law firm GenAI users run it at least weekly (Thomson Reuters Institute 2026). The internal adoption curve is steep. The commercial-model response curve isn't.

Most firms can't answer that yet. Only 15% of law firms measure AI ROI; 43% don't know if their firm does (Thomson Reuters Institute 2026). Firms with a formal AI strategy are more than three times as likely to see positive returns (Thomson Reuters, 2025). The measurement gap is a real opening. The 3x difference is what shows up when strategy comes first and tools follow.

Sequoia Capital mapped legal transactional work as a $20–25 billion autopilot opportunity. Crosby drafts NDAs directly for companies; Lawhive bought a traditional law firm to deliver AI-driven legal services. The funded competition is real and recent. Domain expertise still matters, but only for firms that translate it into offerings before someone else does.