The demos all look impressive. But AI is only as good as the data beneath it. A legacy CLM that can’t capture the full extent of your contract data still needs a human to open the document — so the AI sits on top, surfacing metadata fields without understanding the legal and commercial context underneath. Impressive in demos. Impractical in the real world.
The demos all look impressive. But AI is only as good as the data beneath it. A legacy CLM that can’t capture the full extent of your contract data still needs a human to open the document — so the AI sits on top, surfacing metadata fields without understanding the legal and commercial context underneath.
Impressive in demos.
Impractical in the real world.
What you’ll find in this paper:
The four stages of CLM modernization, and how to tell which one you’re in
Why “adding AI” to a legacy system doesn’t work — and what a real data foundation looks like
What changes at each stage: the current state, the challenge, and the move forward
How contracting shifts from a system of record to a source of enterprise intelligence
Additional Resources
1 min read
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