Knowledge Management in the Legal Profession

Agentic AI

NetDocuments Launches the First Legal Context Graph

NetDocuments unveiled a fundamentally reimagined platform on May 13–14, built around what the company calls the first legal context graph: a proprietary knowledge infrastructure that continuously maps relationships among every matter, document, communication, and person across a firm's entire repository while preserving existing permissions and ethical walls.

BY KM DESK · JUNE 1, 2026 · 1 MIN READ

NetDocuments unveiled a fundamentally reimagined platform on May 13–14, built around what the company calls the first legal context graph: a proprietary knowledge infrastructure that continuously maps relationships among every matter, document, communication, and person across a firm's entire repository while preserving existing permissions and ethical walls. The graph operates at three tiers — document level (classification, extracted entities, version history), matter level (how documents within a matter relate), and global level (firm-wide expertise, experience, and practice patterns). Lawyers opening a matter see a full context view: summary, key parties, activity timeline, firm precedent, and expertise location for prior similar work. AI agents working inside NetDocuments or connecting via MCP (including Claude, ChatGPT, and tools through ndConnect) draw from this permission-governed context rather than single-session uploads. The platform is built with AWS and Elastic at law-firm scale and draws on SALI and FOLIO legal ontology standards. Private preview opened May 14; public webinar scheduled for June 9.

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