Context Engineering Becomes the New KM Superpower — ILTA EVOLVE Agenda

ILTA's EVOLVE 2026 agenda includes two sessions that define the emerging KM role language. "From Retrieval to Reasoning" argues that document retrieval alone often fails when legal AI needs context, precedent, and reasoning — and that knowledge graphs are a way to capture relationships among matters, parties, clauses, outcomes, jurisdictions, and playbooks, making RAG a table-stakes baseline while graph-grounded intelligence becomes the differentiator. A separate context engineering session reframes KM professionals explicitly as architects of information environments rather than prompt writers. Their work is to shape data, metadata, matter profiles, playbooks, precedents, and policies so that agents produce grounded, auditable, and repeatable outcomes. This role language — context architect, not prompt writer — is the most significant talent positioning shift in legal KM in a decade. For KM directors seeking to reposition their teams internally, ILTA's framing gives role descriptions that are more strategic than prompt engineering and more operational than AI ethics governance theory, and that connect directly to the AI output quality that firm leadership now cares about.