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Corporate legal teams don’t need more AI. They need AI with context.

Over the past couple of months, we’ve shared our vision for the legal context graph and how it will transform how legal work gets done. Today, we’re excited to bring this experience to corporate legal departments.
For in-house legal teams, the challenge isn’t simply finding documents; it’s finding the right context. Corporate lawyers navigate a huge breadth of legal domains from contracts, disputes, and regulatory matters to employment issues and business transactions, often within a single day. Much of the information they need already exists somewhere in the organization, but piecing it together takes hours the team doesn’t have, and decisions still often get made without the full picture.
The reimagined NetDocuments experience changes that by giving lawyers immediate access to the connected knowledge behind every matter and project, all in one place.
demo video
Excited to find out more?
In the below video, Tara Wastart, Solutions Expert at NetDocuments, walks through how the legal context graph addresses many of the challenges facing corporate legal teams today.
“Corporate legal departments need a system that understands work in context and can act on it. In-house lawyers must navigate complex legal and business issues…the context graph connects the relationships, history, and knowledge behind every matter or project, giving corporate legal teams immediate context from the outset. This ensures years of institutional knowledge remains accessible and actionable across the business.”
Dan Hauck, Chief Product Officer at NetDocuments
Every matter and project starts with context, not a blank page
Instead of recreating work or searching across multiple systems, in-house legal teams begin with the organization’s accumulated experience already connected together. When a new matter or project is opened, lawyers are automatically surfaced the information they need, including related contracts, prior negotiations, outside counsel work product, key stakeholders, timelines, and relevant communications.
Whether negotiating a customer contract, managing an employment issue, or supporting an acquisition, lawyers can draw on the organization’s existing knowledge instead of spending hours piecing together the history.
Keep institutional knowledge inside the organization
One of the biggest challenges facing corporate legal departments is retaining institutional knowledge. Over time, they build up thousands of decisions from contract fallback positions and negotiation strategies to dispute and claims guidance, risk assessments and board materials. However, as people change roles, experienced lawyers retire and outside counsel engagements end, valuable context often disappears with them.
The legal context graph connects that knowledge to the underlying work, keeping it accessible and reusable. What’s more, as the context graph is built from actual legal work, knowledge stays current without requiring separate knowledge management projects to be maintained.
Get more value from outside counsel
Every legal department wants to maximize the value of outside counsel. Before engaging external firms, in-house teams can find prior advice, research, pleadings, investigations, and negotiation history to determine whether similar work has already been completed.
If outside counsel are retained, they can start with a structured understanding of the matter rather than spending billable time gathering background.
And when the engagement concludes that outside counsel work product becomes part of the organization’s connected knowledge base, compounding the value of each future engagement.
AI that understands your organization’s experience
Until now, legal AI applications have relied only on the documents a lawyer chooses to upload at that moment. But legal work doesn’t happen one document at a time.
With NetDocuments, AI can work from an organization’s connected knowledge, without compromising permissions, confidentiality or governance controls. Whether lawyers are working inside NetDocuments or using AI assistants like Claude or ChatGPT through MCP (Model Context Protocol), they can access the institutional knowledge that already exists across matters, projects, documents, and communications.
This means that AI-powered drafting, redlining, playbook generation and document comparison are grounded in the organization’s knowledge. For corporate legal departments, this reduces the time spent reconstructing context and frees up more in-house capacity to take on additional work.
demo videos
Watch our demo videos to see how contextual matter overviews, search, and AI-powered workflows help corporate legal teams work faster and make better decisions.
Built for the realities of in-house legal
Corporate legal departments are being asked to do more than ever with leaner budgets, while managing an expanding scope of enterprise risk. The question is no longer whether corporate legal departments will adopt AI, but it’s whether that AI will have the context to be genuinely useful.
That’s exactly what the reimagined NetDocuments experience is designed to do.
“After more than 15 years in corporate legal departments, I see the legal context graph as transformational in bringing knowledge together, securely and in context. Until now, in-house lawyers have often had to connect the dots between what sits in their inbox, what exists across different systems, and what is stored in their heads. By making collaboration faster and more connected through AI, it will help corporate legal teams better support the business.”
Lucy Wasmund, Associate General Counsel at NetDocuments
Webinar
See the legal context graph in action
Context should be the foundation for every AI investment a corporate legal department makes.
Register for our upcoming webinar to hear from the NetDocuments team, see a live demonstration, and learn how the new experience helps corporate legal teams realize the full value of their institutional knowledge.
Private preview is available now for select customers, with broader availability coming soon. Join the waitlist here.
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