Affiliates, contractors and cloud processors in data license access clauses

This page is general information, not legal advice. Confirm requirements with counsel for your jurisdiction and use case.

Why the default license language blocks normal AI workflows

Most data licenses grant a right to the "Licensee" for "internal use," and that wording alone does not cover anyone else. Sample clauses in common circulation show the fix: use limited to internal purposes, with an express carve-out allowing disclosure to contractors and authorized affiliates that act on the customer's behalf [1]. Public-sector licences show the restrictive opposite, a non-transferable, revocable contractor sub-licence usable only for the licensee's purposes and expressly excluding group companies [3].

An AI lab's real data path rarely stays in one legal entity. A typical fine-tuning dataset passes through a storage account owned by a cloud provider, a labeling vendor's workforce platform, an eval contractor running held-out benchmarks, a research affiliate in another country, and possibly an external auditor checking provenance. If the grant names only the licensee, every one of those hops can be an unlicensed disclosure, and under a strict confidentiality clause it may amount to a breach.

Keep this clause separate from sublicensing. An authorized user acts for the licensee and gets no rights of its own; a sublicensee gets a right to use the data for its own purposes (see sublicense). The rights grant itself, meaning what the data may be used for, belongs in the AI training rights grant clause; this clause only answers who may exercise it.

Defining affiliates so reorganizations do not break the license

Define "Affiliate" by control, test control at the time of access, and say what happens when control ends. The usual drafting is an entity that controls, is controlled by, or is under common control with the licensee, with "control" meaning majority ownership of voting interests or the power to direct management. Suppliers often push back on open-ended affiliate rights for large groups, so expect a request to list affiliates in a schedule or exclude named competitors.

Three failure modes deserve explicit language:

• Divestiture. An affiliate that is sold stops being an affiliate. The clause should require it to stop access on the closing date and return or destroy its copies under the deletion and return clause, with a short wind-down if a training run is mid-flight.
• Acquisition of the licensee. A new parent becomes an affiliate overnight. Suppliers commonly want either consent or a carve-out that excludes the acquirer's pre-existing businesses; decide which you can live with before signing.
• Joint ventures and minority investments. A 49% research JV is not an affiliate under a control test. If it needs access, name it as an authorized user or negotiate a separate grant.

Affiliates should take access subject to the same terms, and the licensee should guarantee their compliance. Avoid wording that lets an affiliate enforce the license directly unless you also want it to bear direct liability.

Contractors: annotation, evaluation and red-team vendors

Contractors may access licensed data only to perform services for the licensee, under a written agreement with flow-down terms, and the licensee answers for their breaches. That structure matches how practitioner commentary frames AI contracting: obligations attached to data should travel down the supply chain and survive termination [4]. Sample contractor clauses follow the same pattern, limiting the contractor's use to the work performed for the licensee [2].

Flow-downs that matter for AI workflows go beyond plain confidentiality:

• Use restriction. The contractor may not use the data to train, fine-tune or evaluate its own or third-party models. Annotation platforms often reserve rights to improve their tooling with customer data; strike or override that.
• Prohibited uses. Carry down any prohibited-use restrictions and any re-identification prohibition. A labeler who links records to public profiles is a re-identification event for the licensee.
• Workforce controls. Named sub-tier workforce platforms, no further subcontracting without consent, need-to-know access, and individual (not shared) logins.
• Return and deletion. Copies, caches and annotation exports containing raw text deleted at the end of the engagement, with a certificate.
• Audit and incident notice. The contractor must cooperate with audits and report unauthorized access within a fixed period that fits inside the licensee's own notice duty to the supplier.

Regulated data already works this way. A HIPAA data use agreement for a limited data set must make the recipient ensure that any agents it gives the data to agree to the same restrictions and conditions [5]. Under the GDPR, a processor may not engage another processor without the controller's prior written authorization, must impose the same data protection obligations on it, and stays fully liable for it [6]. If the licensed data contains personal data, draft the contractor tier so it satisfies those rules rather than conflicting with them.

Cloud hosts and processors that store but do not use

Cloud providers should be authorized users only as hosting and processing infrastructure, with no right to access content except as needed to provide the service. This category is usually uncontroversial, but the license should name it, because a strict confidentiality clause can technically prohibit storing data with any third party. Treat the cloud host as a data processor for drafting purposes and require that it be bound by its standard enterprise data-protection terms.

The delivery architecture can reduce how much the clause has to carry. In an AWS cross-account pattern, the supplier's bucket policy grants the licensee's account specific actions, and the licensee then delegates them to its own users through IAM policies [8]. A clause can tie "authorized user" status to that delegation chain, so access logs and the contract describe the same population. With Snowflake Secure Data Sharing, no data is copied to the consumer account and shared objects are read-only [9], which makes "who has a copy" a narrower question. Our guide to cross-account bucket delivery covers the access patterns in detail.

Hosted model APIs are a different case. Uploading licensed data to a third-party fine-tuning or inference endpoint can expose it to a provider whose own terms govern retention and use. Name permitted model providers, or require that uploads go only to endpoints whose contractual terms exclude training on customer data.

Offshore contractors, transfers and export controls

If any authorized user sits outside the country where the data originates, the clause must cover transfer law and, for some technical data, export control. Personal data leaving the EU or EEA needs an adequacy decision or an Article 46 safeguard, and the European Commission's standard contractual clauses are the usual mechanism for vendor transfers. A license that bars "transfer outside the United States" will also bar a Philippines-based labeling team; decide whether you need a country list, a region rule or a prohibition.

Export controls are narrower but easy to miss. Most licensed text, support transcripts and finance records are not controlled technology. Engineering records can be different: under the Export Administration Regulations, releasing controlled technology or source code to a foreign person inside the United States is deemed an export to that person's most recent country of citizenship or permanent residency [7]. If the dataset includes design files, firmware or technical documentation, ask the supplier for its classification and restrict access by nationality where required.

Practical artifact: authorized users clause and access register

Illustrative example: invented to show structure; it does not describe an available dataset.

Model clause (buyer's first draft)

Authorized Users. Licensee may permit the following to access and use the Licensed Data solely on Licensee's behalf and solely for the Permitted Purpose: (a) Affiliates, for so long as they remain Affiliates; (b) Contractors performing data annotation, evaluation, safety testing, security or engineering services for Licensee; (c) Hosting Providers, solely to store and process the Licensed Data as infrastructure; and (d) Licensee's auditors and legal advisers, under professional confidentiality duties. Before access, each Authorized User other than those in (d) must be bound by written obligations at least as protective of the Licensed Data as this Agreement, including the use restrictions in Section [X] and the prohibition on training any model other than for Licensee. No Authorized User acquires any license or right in the Licensed Data. Licensee is responsible for each Authorized User's acts and omissions as if they were Licensee's own. Contractors may not further subcontract access without Licensee's prior written approval, and access by any person located outside [Territory] requires [the safeguards in Schedule Y].

Access register (the record a supplier may ask to see)

A register like this answers most supplier audit questions in one place and makes divestitures and vendor offboarding mechanical.

Negotiating positions and fallbacks

Expect suppliers to accept affiliates and cloud hosts readily and to negotiate hardest over contractors in other jurisdictions and anything that looks like a third party benefiting from the data. Useful fallbacks, in the order buyers usually concede them:

1. Contractor classes instead of a named list, with notice of new vendors on request.
2. A named list of current vendors, with consent not unreasonably withheld for additions.
3. Access only inside licensee-controlled environments (virtual desktops, licensee IAM roles), with no copies on contractor systems.
4. Exclusion of specific competitors or jurisdictions from contractor access.

Fold the result into your wider negotiation checklist. If a model provider or partner needs the data for its own benefit, you are no longer in authorized-user territory; compare data-for-model-access partnerships and the hub on data licensing for AI training.

Getting access terms right from the first request

SourceX sources operational datasets from US companies on request and manages the licensing process, so access needs can be raised during the Assess and Agree steps before anything is contracted. Every dataset is rights-reviewed and delivered under a license that defines records, uses, term and delivery, through private, access-controlled workflows. Tell us who on your side will need to touch the data when you describe the dataset you need.

Ready to scope a licensed dataset with your contractors in mind

Describe the data you need and who will work with it; SourceX looks for US businesses that hold it, and every release is approved by the supplying company. Nothing is contracted until a supplier agrees, and a request does not guarantee a match. Start a buyer request.