Legora aOS: KM as Production Infrastructure for Agentic Operating Systems

Legora's agentic operating system — announced July 10 and elaborated this week in analyst coverage — describes its knowledge layer as the infrastructure that makes it possible to "hand entire workflows to an agent and trust the output." Legora aOS ingests playbooks, precedent libraries, clause banks, client history, and negotiated positions, then orchestrates agents across intake, research, drafting, review, and delivery through a core Legora Agent and firm-specific Legal Engineers. The system applies firm knowledge as context at every step rather than surfacing documents on request. Equaldocs analysis published this week frames this as the architectural divide between basic RAG — which answers one question per interaction — and agentic systems that analyse matters, draft multiple documents, update records, and synchronise with Word and Outlook across multi-step sequences without human intervention. For KM directors, the operating implication is immediate: knowledge must be tagged by practice area, matter type, client position, and output stage — not merely made full-text searchable — or it cannot function as agent context. This is a data curation and taxonomy problem that KM teams are better positioned than any other function to own.