TAR

E-discovery is the legal profession's only completed AI adoption cycle — and its lessons are the closest thing to a playbook for what comes next

AI processing costs ~3% of an AI-enhanced eDiscovery workflow. The real savings come from restructuring leverage — shifting volume QC from $750/hr associates to $50/hr contract attorneys. Here's the math.

A new working paper ran generative AI document review and a managed active-learning workflow head to head on the same 45,004-document corpus. Same review protocol, same reference labels, same scorecard. The GenAI system won on recall, and the paired test backs it up. The rest of the scorecard — precision, the 62-to-1 effort gap, the population extrapolation — needs more qualification than the headline suggests.