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L3 · Contracting for AI: buying and selling8 min read

IP in AI contracts: outputs, training data and indemnities

AI raises two IP questions for buyers: who owns what the AI produces, and who pays if the AI or its output infringes someone else's rights.

Ownership of outputs

Most business AI terms say that, as between you and the vendor, you own (or the vendor assigns to you) the outputs. That settles the contract position. It doesn't settle whether the output is protectable: in several jurisdictions, including the U.S., copyright requires human authorship, so purely AI-generated material may have limited protection. For important assets (brand, code, product content), keep a record of human contribution.

Infringement risk and indemnities

Models are trained on large datasets, and there is ongoing litigation about training and outputs. Major providers have responded with IP indemnities for paying business customers:

  • Microsoft announced its Copilot Copyright Commitment in September 2023, later the Customer Copyright Commitment: it will defend paying commercial customers against copyright claims over its Copilot services and their output, and pay adverse judgments or settlements, if the customer used the built-in guardrails and content filters.
  • Google Cloud announced in October 2023 a two-part generative AI indemnity covering its use of training data and the generated output of certain services.

Read the conditions

Indemnities come with conditions: paid tiers only, use of safety filters, no intentional infringement, no modified models, limits on which products are covered and sometimes caps. Check that your actual use fits, and that the indemnity survives termination.

Your own data and inputs

You warrant that you have the right to use what you upload. Uploading third-party content you don't have rights to can void an indemnity.

What this means for the General Counsel

What this means for a General Counsel

For any material AI purchase, ask: do we own the outputs, and are we indemnified for claims about the model and its outputs? If a vendor offers neither, the risk is yours. Price it, limit the use case or walk away.

Keep a short register of the IP commitments of your main AI vendors and their conditions, and tell the business which uses are covered. A covered tool used outside the conditions is an uncovered tool.

Real example

On 7 September 2023 Microsoft announced its Copilot Copyright Commitment: if a third party sues a commercial customer for copyright infringement for using Microsoft's Copilots or the output they generate, Microsoft will defend the customer and pay adverse judgments or settlements, provided the customer used the guardrails and content filters built into the products. Google Cloud announced a two-pronged generative AI indemnity covering training data and generated output on 12 October 2023. Source: Microsoft On the Issues — Microsoft announces new Copilot Copyright Commitment for customers (7 September 2023) ↗ · Google Cloud — Protecting customers with generative AI indemnification (12 October 2023) ↗

Use it

Quick check · 3 questions

  1. 1.A vendor contract says you own all outputs. Does that guarantee the outputs are protected by copyright?

  2. 2.What typically conditions a provider's copyright indemnity?

  3. 3.Why should you check your inputs when relying on an indemnity?

0 of 3 answered

Sources

Last reviewed 2026-10-01.