Many AI instruments in a legislation agency begin each dialog from scratch. Add a contract, ask a query, get a solution. The device forgets all the pieces when the session ends. Then, the following lawyer who works the identical matter begins the reconstruction yet again: who the events are, what precedent applies, what the agency has already determined.
NetDocuments’ new Authorized Context Graph goals to repair this bottleneck in authorized AI. With full, safe entry to a agency’s doc repository, the AI-powered Authorized Context Graph creates an all the time up-to-date understanding of every matter. As a substitute of AI instruments deducing context from no matter a lawyer occurs to add, the Authorized Context Graph attracts on a structured map of how a agency’s issues, paperwork, folks, and communications really join.
Understanding the Authorized Context Graph
The Authorized Context Graph constantly maps relationships throughout a agency’s doc library, whereas respecting current permissions and moral partitions. Right here’s what that appears like in apply.
An affiliate inherits an unfamiliar matter, a merger between two firms with dozens of SEC filings and years of correspondence behind it. As a substitute of digging by means of folders, the affiliate opens the matter and instantly sees an AI-generated overview: a abstract, the important thing events, an exercise timeline, and the prior work product the agency has constructed on related offers. This matter overview is designed to floor in seconds what would possibly in any other case take an affiliate days to piece collectively.
From there, the affiliate can ask the AI assistant a particular query: when was a Kind S-4 signed, filed, and declared efficient? As a result of the Authorized Context Graph understands how the matter’s paperwork join, the AI assistant pulls the signing date from the S-4 itself, corrects the submitting date in opposition to a later 10-Okay/A that amended it, and locates the efficient date, which could seem solely as soon as, buried in a subsequent quarterly report moderately than within the registration assertion the place a lawyer would look forward to finding it. Search right here works by that means, not key phrase, so the AI assistant matches ideas (signed, filed, efficient) throughout paperwork as an alternative of attempting to find precise phrases.
Drop a brand new submitting into the matter, and the remainder of the matter’s context updates with it, moderately than sitting remoted till somebody manually reconciles it. Want precedent? The best way the agency has dealt with an analogous earn-out or indemnification clause earlier than? That’s surfaced with one click on as an alternative of an e-mail to whichever accomplice would possibly bear in mind.
The AI piece runs each inside NetDocuments and out of doors of it. By way of NetDocuments’ MCP integration, exterior instruments together with ChatGPT, Claude, Copilot, Perplexity, and Google Gemini Enterprise, together with legal-specific platforms like Harvey and Legora, can pull from the identical related, permission-aware supply of reality as an alternative of no matter a lawyer pastes right into a chat session window.
Well timed AI-Powered Solutions at Decrease Value
To quantify the worth its Authorized Context Graph brings to legislation corporations, NetDocuments created the Authorized Context Engineering Benchmark. NetDocuments ran the identical AI agent in opposition to 300 questions throughout ten actual authorized issues (874 paperwork, roughly 60 million characters), as soon as with solely search and doc retrieval, as soon as with the context graph added.
The end result: with the context graph, there was a 48% decrease value per appropriate reply on their frontier-tier take a look at (GPT-5.6 Sol), pushed principally by a roughly 52% drop in tokens wanted per reply. Moreover, if a agency “reinvests” a part of the saved tokens in prolonged reasoning (e.g., transferring from medium to excessive), then total accuracy improves from a baseline 73.9 to 79.3 out of 100.
The Authorized Context Graph buys price range headroom, although the size depends upon agency dimension. NetDocuments constructed its report mannequin round a 2,000-person agency asking 4 million AI questions a 12 months. The Authorized Context Graph may save the agency roughly $940,000 yearly if banked, or the 7% accuracy bump (at a smaller however nonetheless optimistic financial savings) if reinvested.
The financial savings scale roughly by headcount. Utilizing NetDocuments’ 2,000-person agency take a look at as the premise for our personal estimate, a 10-person agency on the similar utilization price NetDocuments highlights (eight AI questions per particular person per day, or roughly 20,000 questions a 12 months), works out to about $4,700 in annual financial savings if banked, or about $1,850 in financial savings plus the identical 7% accuracy bump if reinvested.
What This Means for Your Agency
The Authorized Context Graph affords a glimpse at NetDocuments’ future innovation roadmap. The thought behind it, that AI instruments work higher once they inherit a agency’s precise institutional information as an alternative of rebuilding it each session, tracks with what corporations really expertise: the affiliate who spends two days getting on top of things on a matter, the accomplice who can’t bear in mind if the agency has dealt with one thing related, the retiring accomplice who takes many years of judgment out the door with them.
The Authorized Context Graph is at present in personal preview with choose clients. NetDocuments guarantees a broader rollout within the coming months.
Study Extra in regards to the Authorized Context Graph
The Authorized Context Graph is an actual architectural shift that solves an underlying drawback (AI instruments with no reminiscence of a agency’s personal work), and the merger-matter instance above exhibits the way it turns scattered filings into solutions legal professionals can depend on. Study extra in regards to the Authorized Context Graph and schedule a demo by visiting NetDocuments’ website.
Final up to date September seventeenth, 2026