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Forrester's Q2 2026 CLM Landscape confirms something we've believed for a long time.
The biggest shift in contracting isn't happening before the signature. It's happening after it.
AI is rapidly commoditizing much of the work that used to define legal technology. Drafting. Redlining. Clause suggestions. Playbooks. These capabilities are becoming expected, not exceptional.
That's good news.
Because the real value of a contract was never in getting it signed. It was always in what happened next.
As our CEO, Shashank Bijapur, often says, "The signature isn't the end of the workflow. It's the beginning of the business process."
That's where contracts become obligations. Revenue. Renewals. Supplier commitments. Regulatory exposure. Business decisions.
Yet for many organizations, this is still where visibility ends.
We've heard our customers say things like:
"We have thousands of executed contracts, but we still can't answer simple business questions."
"We know the data is in there. We just can't get to it."
"Renewals still surprise us."
Those aren't repository problems. They're intelligence problems.
For years, legal teams measured CLM by how efficiently it got contracts over the finish line.
Today, the better question is:
What happens after the finish line?
Can your business identify every upcoming renewal before it becomes urgent?
Can Procurement see supplier obligations without opening fifty PDFs?
Can Finance understand commercial commitments without asking Legal?
Can Sales spot expansion opportunities hidden inside executed agreements?
Can executives trust the answers AI provides?
That's the new benchmark.
Our CTO, Madhav Bhagat, has consistently argued that AI shouldn't replace legal judgment. It should amplify it by giving legal teams the right context at the right moment.
That matters even more after signature. Post-signature AI isn't about writing better clauses. It's about surfacing obligations before they're missed, connecting related agreements, explaining why something matters, helping the business act before risk turns into cost.
But none of that works if people can't trust the answers.
As our Chief Operating Officer, Akshay Verma, often reminds us, enterprise AI isn't measured by how impressive it sounds. It's measured by whether people can rely on it when decisions carry real consequences.
Verification matters. Explainability matters.
Confidence without evidence isn't enterprise AI.
It's autocomplete.
This is why the repository itself is no longer the product.
The repository is infrastructure.
The value comes from what you can understand, connect and automate because the contracts are there.
Contracts should no longer sit in a system waiting to be searched. They should actively inform how the business operates. And this is the shift we're seeing across the market.
And this shift is exactly what Forrester's latest Landscape reflects.
Pre-signature innovation isn't going away. It simply isn't where long-term differentiation will come from.
The next generation of CLM won't compete on who drafts the fastest contract. It will compete on who helps the business make better decisions after the contract is signed. Because the signature was never the finish line. It was always the starting point.
