The best way to evaluate a legal AI isn't to ask something generic. It's to upload a real document and request an analysis you'd already do at work.
The test must bring the product closer to the routine. If the tool only impresses in abstract examples, it hasn't proven its value yet.
Start with a specific question
Instead of asking "analyze this contract", try more operational questions:
- Which clauses increase risk for the client?
- What obligations need review before signing?
- Is there a conflict between deadline, penalty, and termination?
- What should be explained to a non-technical person?
Questions like these reveal if the answer understands the document or just produces nice text.
Look for traceability
A useful answer must allow for review. The professional must be able to return to the document, check the excerpt, and decide if they agree with the interpretation.
Good AI for sensitive work doesn't try to end the discussion. It accelerates reading and improves the quality of the review.
Value appears in the second question
The first summary might impress. But real value appears when you dive deeper, compare points, ask for a risk matrix, and turn the answer into a practical decision.
It is in this workflow that Apeirum was designed to operate.