Legalfly Webinar: KM Is the Data Quality Layer for AI Contract Review
A Legalfly webinar on AI contract review implementation — presented by legal solutions engineer Stéphanie Adriaens — surfaced a finding that will be familiar to KM practitioners but is now entering the mainstream AI implementation conversation: the bottleneck in AI contract review is not the AI tool but the quality and structure of the firm's underlying knowledge assets. Precedent libraries, playb
BY FRONTIER DESK · JUNE 30, 2026 · 1 MIN READ
A Legalfly webinar on AI contract review implementation — presented by legal solutions engineer Stéphanie Adriaens — surfaced a finding that will be familiar to KM practitioners but is now entering the mainstream AI implementation conversation: the bottleneck in AI contract review is not the AI tool but the quality and structure of the firm's underlying knowledge assets. Precedent libraries, playbooks, and clause libraries that were previously used primarily for lawyer reference are now the training and retrieval substrate that determines AI output quality. For KM teams, this is a reframing of the function's value proposition: KM is no longer primarily a retrieval service for lawyers but a data quality and curation layer that directly governs AI performance. Firms that have underinvested in structured knowledge will feel this constraint immediately upon AI deployment.