Contract AI Must Serve Business Users
Healthcare company associate GC on where legal AI products break down
The real buying decision in contract AI is won or lost with the business user, not the lawyer. For a lean in house team, the product only creates value if sales, procurement, or operations staff can submit a request, answer a few guided questions, route approvals, and recover from mistakes without legal stepping in. When those users fall off the happy path, the legal team becomes the workflow engine, which defeats the point of buying contract software at all.
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This interview draws a hard line between legal work and business workflow. The non legal user should handle intake, approvals, and basic questions. Legal still owns redlining and judgment. That means the product has to behave more like guided internal software than like an AI assistant for attorneys.
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The failure mode is not usually model quality alone. It is implementation. The legal lead describes heavy setup in Luminance, slow support, and systems that work on the happy path but stall on anomalies. In practice, preserving context and showing the next step matters as much as clause analysis.
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This is why broad legal AI tools can miss the in house contract use case. Harvey and similar products are often evaluated against enterprise ChatGPT plus Westlaw or CoCounsel, while CLM vendors like Ironclad, Icertis, and Luminance compete on whether the whole request to approval workflow actually runs inside one system.
The next wave of winners in legal AI will look less like standalone lawyer copilots and more like contract systems that hide complexity from non legal users. Products that can guide a low context employee through intake and approvals, then hand legal a clean first pass review, will be much harder to displace than tools that only impress in a demo.