Knowledge Assets Are Now the AI Bottleneck — Contract Review Surfaces the Gap

A Legalfly webinar on AI contract review surfaced a finding that is entering the mainstream among legal AI practitioners: 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 are now the retrieval substrate that determines AI output quality — which means KM is no longer primarily a retrieval service for lawyers but a data quality and curation layer that directly determines what AI-assisted work product looks like. For KM directors, this reframes the internal conversation about resource allocation: investment in knowledge curation, metadata standards, and precedent governance is now an investment in AI output quality that firm leadership can price and measure. The strategic framing has shifted from "how do we make knowledge findable?" to "how do we make knowledge AI-ready?"