Routine contracts at a fixed fee, with your attorneys still on the file.
Why this offering, why now
Foley & Lardner ships Foley Equipped, a flat-fee routine-contract review service powered by ThoughtRiver, and pitches it on the client’s ability to forecast legal spend (Foley & Lardner, foley.com/foley-equipped).
Wilson Sonsini added an AI-enabled fixed-fee commercial-contract offering to its Neuron Platform in May 2024, starting with cloud-services agreements and with stated plans to expand to NDAs and other recurring agreement types (Wilson Sonsini, May 2024).
AI-native firms publish prices for the same work. Crosby has reviewed about 13,000 contracts since October 2025 on roughly $85M in funding, and General Legal lists $500 per standard contract review and $250 per NDA. Sequoia’s March 2026 essay “Services: The New Software” sizes legal transactional work as a $20–25B autopilot opportunity (Sequoia, March 2026; Artificial Lawyer).
What it is
A productized offering for a defined slice of contract work: NDAs, vendor agreements, recurring commercial templates, or a similar narrow set. AI does first-pass extraction, clause comparison against the playbook, and proposed redlines. An attorney reviews, decides, and signs.
The client buys a fixed fee per contract or per bundle, with a stated turnaround. The firm keeps the judgment work and lets the routine extraction collapse to minutes. Margin shows up in the gap between what an hourly invoice used to look like and what the fixed fee costs to deliver.
This isn’t a tool sale or an outsourcing arrangement. The firm sells a packaged legal service on its own paper, and the firm’s attorneys answer for the result.
Who buys it
General counsel or commercial-contracts lead at a corporate client with a high-volume routine-contract function.
The client has either run out of patience with hourly billing on contracts that all look the same, started asking what AI savings the firm plans to pass through, or been pitched directly by an AI-native firm at a lower published price. ABA Formal Opinion 512 (July 2024) and Bloomberg Law reporting on Texas firms both anchor the expectation that clients pay less when AI creates real time savings.
What the firm gains
- Forecastable revenue per matter type, instead of an hourly invoice the client now knows compresses every quarter.
- A defensible answer when a client or a referral source asks what the firm has actually shipped on AI.
- Margin on routine work that scales with playbook quality, not with associate hours.
- A paid first engagement that opens conversations about the harder work the firm still bills hourly.
Why a mid-market firm can win this
Routine contract review at scale isn’t an AmLaw 100 problem. The work concentrates in industries where mid-market firms already hold the relationship: manufacturing, healthcare suppliers, regional financial services. Foley and Wilson Sonsini proved the offering sells. A mid-market firm doesn’t need to match their tooling spend; it needs a defined scope, a playbook the partners agree on, and an attorney-supervised review path the client can see.
What it takes to design properly
- Which contract types are in scope, and which are explicitly out. Reliable AI extraction depends on a narrow, well-defined corpus.
- Where the attorney verification step sits and how it is staffed. Partner, senior associate, or a paralegal-plus-attorney review path each carry different margin and risk profiles.
- How the playbook gets built, owned, and updated, since the playbook is now the asset that makes the fixed fee work.
- How the offering is positioned to existing clients who currently buy this work hourly, without cannibalizing matters that should stay hourly.
These are the decisions the Workshop helps law firms answer for their specific firm. You leave with the offering specified end to end and ready to test with a named client.
The pressure this responds to
Other offerings for Law Firms
$15,000
Fixed fee. A full day with your senior team. 2–3 new offerings your team or an implementation partner builds and tests.
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