AI in legal operations.

Evaluate contract and matter assistants through review quality, corrections, and counsel oversight.

Example workflow

Where agents work.

Contract review: Reads inbound contracts, flags risky clauses against the playbook, and drafts redline suggestions.
Intake triager: Classifies requests from the legal-help inbox and routes them to the correct partner or self-serve template.
Document drafting: Generates first drafts of NDAs, MSAs, and SOWs from approved templates and matter context.
Matter tracker: Monitors deadlines, drafts status updates, and flags matters drifting past target turnaround.
Compliance copilot: Flags policy mismatches in inbound documents and drafts the rejection or change request.

Review throughput: Documents reviewed per hour versus the human-only baseline.
Attorney override rate: Frequency of attorney rejections of agent recommendations.
Turnaround time: Median time from intake to first attorney-reviewed draft.
Risk-flag accuracy: Agent-flagged risk clauses confirmed by an attorney.
Backlog age: Median age of agent-owned queue items.

Measurement depends on your source records and mapping. These are signals to evaluate, not automatically collected metrics.

Source coverage and outcome attribution depend on the records you provide.

We’ll review your source data and agree what to measure.