AI freelancer NDA clauses
Freelancers increasingly run client work through AI tools — drafting copy, generating code, summarising documents. That creates a confidentiality gap a standard NDA never anticipated: the moment a contractor pastes client material into a consumer AI tool, the data leaves your control. This generator produces NDA and confidentiality clauses tailored to AI use, covering which tools are permitted, how client data may be handled, who owns AI-assisted output, and what happens on breach.
How it works
You describe the freelancer’s role, the project, and the AI tools they expect to use, then choose your stance — AI permitted freely, permitted with restrictions (for example only tools with a no-training agreement), or prohibited for confidential data. The tool assembles matching clauses: a definition of confidential information that explicitly includes AI inputs, a permitted-tools clause, a data-handling obligation, an output-ownership and IP-assignment clause, and a breach-and-remedies clause. Everything is generated locally.
The five clauses the generator produces and why each matters
1. Expanded definition of confidential information
A standard NDA definition covers documents, emails, and conversations shared by the client. An AI clause extends this to cover any data derived from those materials — including summaries, extracts, or prompts that contain client information in any form. This prevents a gap where a freelancer argues that a paraphrased prompt was not itself “confidential.”
2. Permitted-tools clause
This names (or categorises) which AI tools the freelancer may and may not use. The most defensible approach: permit tools where the provider has a contractual no-training, no-retention data agreement, and prohibit consumer-tier tools for confidential inputs. Naming the tool or the tier (for example “enterprise API” rather than a specific product) gives the clause a longer useful life as tools change.
3. Data-handling obligation
Requires the freelancer to promptly delete any AI session that contained confidential inputs, not to share access to relevant AI sessions or outputs with third parties, and to promptly notify the client if a tool they were using changes its data-retention policy.
4. Output ownership and IP assignment
Many jurisdictions do not recognise copyright in purely AI-generated work, which leaves ownership ambiguous. This clause assigns to the client all rights the freelancer holds in the AI-assisted output, requires a defined minimum level of human authorship, and — importantly — gives the client the right to reject output that fails to meet that standard.
5. Breach and remedies clause
Defines what constitutes a breach of the AI-use rules (for example, pasting client data into a prohibited tool), establishes a duty to notify the client immediately, and specifies remedies. An effective clause includes a genuine reporting obligation rather than leaving detection entirely to the client.
Tips and notes
- Prefer restrictions over bans. Permitting tools with a no-training agreement is more practical and more enforceable than a blanket prohibition that pushes use underground.
- Name the approved tools or tier. Listing “tools with a contractual zero-retention enterprise agreement” removes ambiguity and gives the freelancer a clear test to apply.
- Require disclosure of AI use. Knowing where AI was used helps you assess IP and accuracy risk, and may be relevant if a dispute arises over the quality of the deliverable.
- Get it reviewed by counsel. IP assignment and enforceability vary significantly by jurisdiction; these clauses are a structured starting point, not a final contract.