Document-Review

LLMs ace simple retrieval benchmarks but collapse on the tasks that matter in fraud investigations – finding semantically disguised evidence buried in millions of documents

A practical walkthrough of Claude Cowork across the litigation lifecycle – organized around Projects for matters and Skills for recurring tasks – plus the privilege question every firm needs to answer first.

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.

How Quinn Emanuel, Mayer Brown, Outten & Golden, and others deployed AI on real matters – with real numbers

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.