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Intelligent document management system for legal professionals, NetDocuments, has unveiled what it describes as the industry’s “first legal context graph” as part of a major reimagining of its platform.
NetDocuments has rolled out what it describes as an “industry-first” legal context graph, marking what it calls a “fundamentally reimagined platform experience” designed to transform how legal professionals access, connect, and apply institutional knowledge.
The system is designed to map the relationships between “every matter, document, and communication within a firm”, connecting hundreds of millions of records to create a unified, intelligent knowledge layer for legal teams.
Rather than positioning the release as a routine interface refresh, the intelligent document management provider describes the platform redesign as a “foundational shift” in how legal work is surfaced, understood, and executed in the AI era.
In a statement, NetDocuments explained that the new platform gives lawyers a rich, contextual view of every matter – from concise summaries and key parties to detailed activity timelines, relevant firm-built precedents, and the colleagues who have handled similar work before.
The legal context graph also enables AI agents within NetDocuments, as well as those operating in external tools, to work directly from the firm’s true institutional knowledge, rather than relying on isolated, single-session uploads.
NetDocuments explained that the launch of this tool is designed to solve a longstanding challenge for legal teams, where critical context is scattered across the firm, “but rarely accessible when it matters”.
Josh Baxter, chief executive at NetDocuments, emphasised that legal data should be viewed as a connected whole rather than isolated fields, adding that NetDocuments has built the first platform designed to surface firm-wide context as the foundation for both lawyers and AI agents.
“Legal data is fundamentally different. It is language, not fields, and unlocking its meaning requires understanding it as a connected whole – every matter, every document, every communication, at firm scale,” Baxter said.
“That kind of context has never been engineered into a legal platform before. It is what we have built, and it is the foundation lawyers and AI agents both need.”
When building the legal graph, NetDocuments worked closely with partners, including Amazon Web Services and Elastic, to design the system.
Carol Potts, general manager, ISVs, Amazon Web Services, expressed that the platform sets a new benchmark for enterprise AI in highly regulated industries, with the ability to continuously connect, understand, and reason across hundreds of millions of legal documents at firm scale.
“What NetDocuments has built with AWS sets a new standard for what’s possible at this scale.
“Semantically understanding and continuously connecting hundreds of millions of legal documents, under each firm’s own governance model, is the kind of work that defines enterprise-grade AI infrastructure for regulated industries,” Potts said
