Direct answer
What is the safest way to evaluate a legal AI tool?
Freeze one task, use representative inputs, retain source evidence, count qualified review time and compare the result with conditions agreed before the test.
1. What should be defined before evaluating a legal AI tool?
Name the trigger, finish line, volume, roles and review standard. Do not let the supplier expand the scope after the baseline is recorded.
2. Use representative inputs
Use a sequential, approved sample. Avoid memorable matters chosen because the answer is already known. Where live client material is unnecessary, use made-up or properly redacted examples.
3. Test retrieval and evidence
For every material output, ask which source supports it and how a reviewer reaches that source. A fluent answer with no source route is not a completed legal workflow.
4. Why should supervision count in the evaluation?
Measure reviewer time, corrections and escalation. A faster first output can still cost more once qualified checking is included.
5. Get the operating answers in writing
Record data location, subprocessors, retention, training use, deletion, support, change control and exit. Marketing copy is not the operating contract.
6. Decide from the agreed conditions
Compare the result with the pass and fail conditions set before the test. Then fix the process, buy a tool, run a further controlled pilot or leave it alone.
For the wider context, read our legal AI workflow answers. Explore Margo by Margo Legal, currently in development, or use the Workflow Value Workshop to examine one repeated workflow.