Contract review agent

The agent is trained on the specific clause patterns you care about, then works against your existing contract repository. It extracts the relevant clauses, pre-fills the assessment and flags each contract for review through an interface where the specialist checks the AI's work rather than redoing it, while a live dashboard tracks progress against the backlog. In the grounding engagement the model reached above 95 percent accuracy on a held-out test set before it was put in front of reviewers, and review time fell from about four hours per contract to twenty-five minutes.

The value is speed and released capacity against a compliance obligation you cannot drop. In the grounding engagement review time fell by about 80 percent, from roughly four hours per contract to twenty-five minutes, and a backlog projected to take nine months cleared in eleven weeks. The specialists freed from manual review moved to supplier engagement and category strategy.

A repository of past contracts to train against, a written definition of the clauses and rules the assessment must cover, and access for a small review team to confirm the model before it goes live. The grounding engagement worked off the department's existing contract store, so no new data collection was needed.

Keep a human in the loop on every assessment: the specialist approves or corrects the AI's pre-filled work, so the agent never signs off compliance on its own. Validate accuracy on a held-out test set before rollout and monitor it as new clause types appear. The higher the stakes of a given contract, the more of the assessment a person should re-check.

You have a defined set of rules or clauses to check against, a backlog or throughput problem that manual review cannot keep up with, and a store of past contracts to learn from. A named owner who can define what compliant means is essential.