Structured knowledge beats retrieval-only legal AI

ILTA’s “From Retrieval to Reasoning” session argues that document retrieval alone often fails when legal AI needs context, precedent and reasoning. Knowledge graphs are positioned as a way to capture relationships among matters, parties, clauses, outcomes, jurisdictions and playbooks. The practical implication is that RAG is becoming table stakes; graph-grounded legal intelligence is where defensibility and institutional learning move next.