Legal · A mid-sized law firm
Legal: diligence at deal speed, on a model the firm owns
The situation
Diligence and contract review ran on associates’ hours and a general-purpose AI assistant. The assistant helped, but it wrote generic clause language that lawyers rewrote by hand, and its per-seat, per-token cost made the partners ask whether the tool was worth expanding past the pilot group.
Confidentiality framed everything: the firm’s clause library is its institutional memory, and anything trained on it had to belong to the firm.
What moved to Vidman AI
The firm fine-tuned a model on its own clause library and review patterns through Vidman AI, running on dedicated GPUs billed per second. The trained weights are the firm’s property — the institutional memory stays an asset of the firm, not of a vendor.
Review drafts now come out in the firm’s own language, so lawyers edit instead of rewrite, and the same model serves every team without a per-seat debate.
The outcome
- AI spend reduced significantly against the rented general-purpose assistant
- Review throughput increased significantly — drafts arrive in house language, ready to edit
- The clause library’s value stays with the firm: the weights are owned, exportable, and theirs
Before
Rented general model, generic clauses, per-seat cost capping the rollout
With Vidman AI
Firm-owned model trained on its own clause library, firm-wide
Illustrative, not measured.
Facing the same bill?
Estimate your workload on the rate card, or talk to us about the deployment pattern that fits.
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