Legora aOS: The Agentic Operating System That Runs on Firm Knowledge

Legora launched the Legora aOS (Agentic Operating System) on July 10 — describing it as "the infrastructure, the legal capabilities, the knowledge layer, and the integrations that make it possible to hand entire workflows to an agent and trust the output." The aOS is built around institutional knowledge as its primary differentiator: it ingests "playbooks, precedent libraries, clause banks, client history, and negotiated positions" so that every output reflects the firm's accumulated practice intelligence, not just generalized model capability. The system orchestrates agents through the full matter lifecycle — intake, research, drafting, review, and client delivery — with the Legora Agent as the core orchestration engine and a team of "Legal Engineers" providing firm-specific configuration. The knowledge integration architecture is its most KM-relevant feature: rather than surfacing documents for a lawyer to read, the aOS applies firm knowledge as context at every step of the workflow, enabling outputs that are practice-area-specific, client-history-aware, and negotiation-position-calibrated from the first draft. For KM directors, the aOS model makes explicit what has been implicit in every AI deployment conversation: the quality of the AI output is a function of the quality and structure of the knowledge layer — which means KM is no longer a support function but a production dependency.