If you can't show the value of legal AI, budgets stall and quality problems hide. Measure from the start, with a small set of metrics.
Four families of metrics
- Speed: contract turnaround, time to first draft, time to answer a business question.
- Cost: outside counsel spend by matter type, cost per contract or matter, hours saved.
- Quality and risk: error rates found in review, escalations, issues found later, verification failures caught.
- Adoption and satisfaction: active users, use by task, business satisfaction scores.
Rules for good measurement
- Baseline first: measure the current process before the pilot.
- Few metrics: three per use case, reported monthly.
- Count quality, not just speed: a faster process that misses issues is worse.
- Attribute honestly: separate AI effects from other changes (new templates, new staff).
- Report in business language: days saved for sales, money saved on outside counsel, risk reduced.
Roadmaps make value visible
In The General Counsel Report 2026, 53% of legal departments said they had a formal technology roadmap, up from 25% a year earlier, and about 70% planned to invest in new technologies in the next 12 months. A roadmap with metrics is what turns AI from experiments into a funded program.
Report up
A quarterly one-page report to the CEO or CFO: what we deployed, what it saved, what risks we managed, what's next. It builds the case for the next investment and shows that legal leads on AI rather than blocking it.