AI contractor agreement clauses
Engaging a contractor or freelancer who will use AI tools introduces risks an ordinary services agreement does not cover: your confidential data being pasted into a public chatbot, ambiguous ownership of AI-assisted output, and no visibility into which tools they actually use. This generator produces a set of AI-specific contract clauses — permitted tools, confidentiality, IP assignment, disclosure, audit rights, and liability — tailored to the work type, how much sensitive data the contractor can touch, and your jurisdiction.
How it works
You describe the engagement: the type of work (software, content, design, data analysis, or general), the data access level (none, internal, or sensitive personal/regulated data), and the governing jurisdiction. The tool selects appropriate language for each clause and tightens the restrictions as the data sensitivity rises. You toggle the clauses you want, the tool assembles them into clean numbered contract text, and you copy the result into your agreement. Higher data sensitivity, for example, swaps a permissive “you may use reputable AI tools” clause for one restricting the contractor to enterprise tools with a data-processing agreement and a no-training guarantee.
How data sensitivity changes the clause language
No sensitive data
The lightest set of clauses: a permitted-tools statement allowing reputable AI tools for the relevant work type, an IP clause assigning all work product to the client, and a basic disclosure obligation. This is appropriate for content production or general research work where nothing confidential is shared.
Internal business data
Adds a confidentiality clause that explicitly prohibits feeding internal business information into consumer AI tools (as opposed to enterprise tools with suitable data terms), and increases the specificity of the permitted-tools list. Disclosure becomes mandatory rather than best-practice.
Sensitive personal or regulated data
The strictest tier. The permitted-tools clause becomes a named allow-list of enterprise AI tools that have signed a data-processing agreement and contractually guarantee no use of data for model training. A redaction requirement is added (the contractor must remove personally identifiable details before any AI use). Full audit rights allow you to request evidence of compliance. Liability and indemnity language covers the contractor’s breach of these restrictions explicitly.
Practical scenario: a content agency writing your blog posts
Even for low-stakes content work, you want a clause that requires the contractor to disclose which AI tools were used (for your own disclosure obligations) and that assigns IP in any AI-assisted output to you, covering whichever rights exist. Without those two clauses you may publish content whose ownership is ambiguous, and you cannot accurately disclose AI involvement to your own readers.
Tips and notes
- Always have a lawyer review. These are templates reflecting common practice, not jurisdiction-specific legal advice.
- Be specific about permitted tools. A named allow-list of enterprise AI tools is far stronger than a vague “use reputable tools” phrase.
- Pair clauses with offboarding. The audit and confidentiality clauses only bite if you also revoke access and request data deletion when the work ends.
- Match the clause set to the risk. Do not bury a low-risk content gig under heavy audit and indemnity language — calibrate to the real exposure.