Evaluating the Evaluators - The Role of Benchmarks in Legal AI

This piece examines why benchmark results can mislead when they are detached from the conditions in which lawyers actually use AI systems. Scores can be directionally useful, but they rarely capture the messy reality of legal work.

The article argues for evaluation methods that account for task design, data quality, review standards, and whether a tool performs well enough inside an end-to-end workflow.