Your AI Strategy is Only as Strong as Your System of Record.
By Jason Mills
I’m going to start with a pretty simple observation: the legal AI market is noisy. Really noisy.
There are thousands of tools, constant pressure to “do something with AI”, and a lot of budget getting deployed quickly. A natural reaction is to look sideways “what are firms like us buying?” and follow that path because, well, FOMO really. That might get you moving, but it doesn’t really solve the underlying problem. At the end of the day, if the AI isn’t grounded in the right firm knowledge, you haven’t built intelligence, you’ve just built a very convincing guessing engine.
Where things are starting to get interesting (and where I think the conversation is shifting) is back to the foundation, your system of record (or document management system), and how it actually understands your content. We’ve been talking about semantic indexing and auto‑profiling as big rocks for a while now, but the latest NetDocuments announcement takes this a step further with what they’re calling a “context graph.” In simple terms, it’s moving from storing documents to actually mapping how everything connects matters, documents, people, timelines, prior experience across the firm.
A couple of implications that matter at exec level:
It’s not just better search; it’s also surfacing context automatically when you open a matter
AI tools (both inside and outside the platform) can work off your firm’s actual institutional knowledge, not whatever was uploaded into a prompt or happens to be returned in a text search
You start to remove the reliance on “who happens to be in the room” when answering complex questions
The big shift here is subtle but important: we’re moving from a world where systems store work, to one where they can actually understand and connect it at scale. That builds directly on the idea of moving from “searching” to “asking” but now you’re asking something that knows the full picture, not just isolated documents.
So from a leadership perspective, the takeaway isn’t “go buy this tool” or “don’t buy that one.” It’s more fundamental:
Where does your firm’s knowledge actually live today?
How well is it connected and understood (not just stored)?
And are you building an AI strategy on top of that… or working around it?
Because the firms that get this right will have a platform that feeds any AI capability going forward. The ones that don’t may end up stitching together point solutions, creating siloed information and inconsistent outcomes to match.
Is your system of record becoming a platform to help empower your AI strategy? Or is it a downstream passenger?