Vibe Coding Your CLM Is a Trap Dressed as Progress

Sometime in the last eighteen months, a particular ritual took hold in commerce-adjacent teams. Someone opens a browser, types a prompt, and forty-five minutes later they're showing a demo of what looks like enterprise contract software. The room claps. A Slack message goes out. 'We might not need to renew that vendor contract after all.' Forrester has a name for this moment: vibe coding. And they want you to slow down before you do it to your contract lifecycle management system.

The Déjà Vu Is Load-Bearing

Forrester's analysts are pointing out something that should feel familiar to anyone who was in commerce operations in the early 2000s. The build-vs-buy debate is back, and the energy around it is almost identical. The difference is that the tools are better. The appetite for shortcuts, however, is exactly the same. Back then, companies built internal CRM tools because off-the-shelf software felt clunky. Many of those builds became technical debt that outlasted the people who built them. The CLM version of this story is starting to write itself.

What the Top 10% Actually Treat Contracts As

Here is the fracture line between average operators and best-in-class ones. Average operators think of a CLM as a place contracts go to live — a well-organized archive. Top-10% operators treat it as a revenue system. They want visibility into renewal windows, clause performance, auto-renewal traps in vendor agreements, and downstream margin effects. That is a different design philosophy entirely. A vibe-coded system built in a weekend optimizes for the demo. It does not optimize for what a VP of Commerce needs at 9 a.m. on the Monday a major supplier contract auto-renews.

The five trade-offs Forrester identifies include governance gaps, integration debt, security surface area, maintenance burden, and what they call 'the pretense of completeness.' That last one is the dangerous one. A vibe-coded CLM will pass a casual inspection. It will have the right fields, the right labels, a decent interface. It won't have the audit trail a legal team needs. It won't have the clause library a procurement team has spent years calibrating. It will look like a CLM the same way a film set looks like a building.

Three Cohorts, Three Outcomes

Watch how this plays out across three cohorts of operators right now. The first cohort builds fast, ships fast, and finds out twelve months later that no one maintained the integrations. Contracts are in the system. Metadata is not. Renewal dates are wrong. This cohort loses commercial leverage at the exact moments it needs it most. The second cohort gets spooked by the Forrester warnings, decides the status quo is fine, and continues running contract operations out of a mix of folders, emails, and tribal knowledge. This cohort hemorrhages time. The third cohort — the one worth emulating — uses the AI-build moment as permission to have a serious internal conversation about what their contract infrastructure is actually supposed to do. They use the prototype to pressure-test requirements. Then they buy something built to carry commercial weight.

Your Move: Three Questions to Pressure-Test Before You Build

If your team is already mid-build, or someone just sent you a demo link, here is what to ask. First: could your legal team use this system as the sole source of truth if you were in discovery tomorrow? Not 'could they find the contracts' — could they certify it. Second: which signal does your CFO actually need from contract data today that they aren't getting, and does your prototype surface it or just store it? Third: if the person who built the prototype left the company in sixty days, what would the maintenance cost be in both time and commercial risk for the following year? The answers to those three questions will tell you more about whether to build or buy than any feature comparison ever could. Best-in-class operators have already asked them. Most are already on the phone with a vendor.

The cultural verdict here is a small irony. AI made it easier to build things that look serious. That same ease is creating a new status signal — knowing when not to build. The operators who figure that out first are going to look very calm in a lot of meetings that will otherwise get quite noisy.