Indemnifying for AI Output: Developing Issues for AI-Native Startups

We’ve seen a marked increase in requests from companies looking for attorneys with real AI contracting experience. Often it’s because AI-specific terms are showing up in their contracts for the first time, and they’re looking for counsel who can help them navigate this new landscape.

One clause in particular is worth understanding: indemnification for AI output. Legal commentary has increasingly flagged this as an issue companies should expect in enterprise AI deals. A well-drafted indemnity clause should distinguish between IP infringement claims and biased or harmful outputs, and indemnification caps may be set too low relative to real exposure. Insurance coverage adds another wrinkle. Even when a company is named as an additional insured on a vendor’s policy, that status offers little protection if the underlying policy excludes AI-specific risks like hallucination or infringement claims.

If this clause is new territory for your team, you’re in good company. Here’s what’s driving it, and how to approach it when it appears in a negotiation.

Enterprise legal and procurement teams have become more cautious about AI risk, including hallucinations, IP disputes over training data, and biased or harmful outputs. In response, many are pushing that risk on to their vendors through indemnification language. This risk shifting is now a common move by procurement teams when purchasing products that incorporate AI in offering. 

Not all AI indemnification is the same, and the redline you receive may blur two distinct risks together: IP infringement risk, meaning a claim that the training data or model output infringes a copyright or trademark; and content risk, meaning a claim arising from the output itself, such as defamatory or harmful statements. These risks carry different exposure profiles, so it’s important to read the clause carefully to understand which risk you’re being asked to take on.

Key negotiation points

Experienced attorneys advise that a few areas are worth focusing on when this clause comes up in negotiation. Scope should carve out customer misuse, modified prompts, and third-party data supplied by the customer. Caps should tie indemnification exposure to fees paid under the contract rather than leaving amounts open-ended. Mutuality is also worth raising. It’s reasonable to ask the customer to indemnify you for their own inputs and data, not just the reverse. And, as noted above, insurance shouldn’t be assumed to fill any remaining gap. It’s worth confirming what your coverage actually includes before relying on it as a backstop.

Agreeing to broad, uncapped AI indemnification without negotiating it can create problems well beyond the deal at hand: it can complicate your insurability, surface as a flag in diligence during your next financing round, and set a precedent that future customers may expect you to match.

Before your next redline, it’s worth asking a few questions: Does the clause distinguish infringement risk from content risk? Is exposure capped, and tied to something reasonable, like fees paid or at least a reasonable multiple? Are there carve-outs for customer misuse or modified inputs? Have you confirmed what your insurance covers? Is the customer taking on any reciprocal responsibility for their own data?

AI-related contract terms are appearing earlier and more often than most legal teams are prepared for. Building familiarity with clauses like these before they arise in a live negotiation, rather than working through them for the first time under deal pressure, puts your team in a stronger negotiating position.

AI fluency is becoming a specific expertise gap for many in-house teams. Understanding AI in the abstract isn’t enough. What’s needed is an attorney who has actually negotiated these clauses and understands where the real risks and the developing norms are in balancing those risks. That kind of experience is something we specifically ask about when vetting attorneys for FLEX engagements.

This post is for informational purposes only and does not constitute legal advice.