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The Power of Context: Three Things Legal Professionals Should Know

Legal Solutions Director Colleen Baehrend shares three key takeaways from NetDocuments' webinar on why context — not AI tools alone — drives better legal outcomes.

September 10, 2026 By NetDocuments
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As a lawyer, I've long understood that context is everything. We don't just rely on the law, we rely on how it's been applied, argued, and tested across matters, clients, and relationships over time.

That's why the webinar NetDocuments recently held on the power of context in legal work resonated with me. The discussion reinforced something I've observed throughout my career: access to information alone isn't enough. The real value comes from understanding information in context. If you missed it, I encourage you to watch the recording. Here are three takeaways that stood out.

1. Legal work has always been about context

Early in the webinar, Nate Ruiz said: "You wouldn't expect an associate to operate at a high level without context. So why do we expect AI tools to do the same?"

What struck me wasn't just the point about AI — it was the reminder that lawyers don't create value by simply knowing the law. We create value by applying it. Applying it well requires understanding how information connects: to a client, a matter, a prior strategy, or a risk profile.

Valuable knowledge lives in prior matters, work product, emails, and the experience of the professionals who created them. Yet that context is often difficult to surface when it's needed most — buried in unstructured documents and locked in the memory of whoever worked on the matter.

The legal context graph is NetDocuments' answer: the industry's first system to continuously connect every matter, document, communication, and piece of institutional expertise across an organisation, within existing permissions and ethical walls.

2. Connected context changes what's possible from the moment you open a matter

Every lawyer knows the experience: you're staffed on a new matter and the first hours go to figuring out what's already been done, who has relevant experience, and what positions the organisation has taken before. That work isn't strategic. It's retrieval.

When that retrieval is handled automatically, the impact is immediate. For litigators, opening a matter surfaces a full picture: parties involved, key dates, the most active documents, and version-by-version summaries of how key documents have evolved. Relevant prior strategy surfaces by meaning rather than keyword matching, so arguments and precedent appear even when exact wording differs.

For transactional lawyers, a document intelligence tab surfaces related documents across matters automatically, relevant precedent, comparable clauses, prior negotiating positions, without anyone needing to remember where they were filed.

Instead of spending the first part of every matter catching up, lawyers start with clarity. That changes the quality of work, the speed of delivery, and the confidence behind every decision. Watch the demo to see it in action.

3. MCP helps the AI tools you're already using perform better

A question I hear frequently is: we already have AI tools in place, so why aren't the results better? The answer, in most cases, is context. The tools are performing exactly as well as the context they can reach.

MCP (Model Context Protocol) is infrastructure — think of it as a USB connection. It allows tools to communicate with your document platform, but it doesn't create context that doesn't exist. Vendors positioning MCP support as the solution to the context problem are describing the pipe, not what's flowing through it.

When the underlying system has rich, connected, semantically understood legal context, every AI tool that connects through it gets better. Harvey, Legora, Claude, ChatGPT Enterprise, and others all benefit from the quality of context they can reach, making them genuinely useful for legal work, not just generic tasks.

For legal professionals, accuracy determines trust. When governance is built into the same foundation, with permissions, ethical walls, and audit trails, legal teams can extend AI to the work that actually matters, without compromising the standards the profession requires.

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