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Free TemplateLegal / Compliance

AI Data Processing Agreement Template

A ready-to-use DPA template tailored for AI and machine learning vendors. Covers data processing terms, sub-processors, cross-border transfers, breach notification, and GDPR/CCPA compliance clauses.

Updated March 2026 · 6 DPA sections · GDPR Article 28 compliant · AI-specific clauses included

6 sections
full DPA coverage
GDPR Art. 28
compliant structure
AI-specific
no-training clause included
Free
to use and customise

Why Standard DPAs Fall Short for AI Vendors

Most organisations use a generic DPA template for all SaaS vendors. AI vendors present data protection risks that generic DPAs don't address — particularly the risk that your data is being used to train AI models. Without AI-specific clauses, you cannot demonstrate GDPR compliance when deploying AI tools that process personal data.

GDPR
Requires DPAs with all data processors
Article 28 mandates a written contract with every processor. No DPA means no legal basis for the processing relationship.
AI risk
Model training clauses are in most vendor standard terms
Many AI vendors include the right to train on customer data in their standard terms. You must explicitly negotiate this out.
72 hrs
Breach notification window is tight
Vendor breach notification obligations must be set at 24 hours to give you time to meet your 72-hour regulatory deadline.
Sub-proc.
AI vendors use many sub-processors
AI services rely on multiple infrastructure, compute, and model hosting sub-processors — each a potential liability if not covered.

The DPA Template

Expand each section to view the template clauses. Have your legal counsel review and customise before execution. Note: this is a template, not legal advice.

This Data Processing Agreement ("Agreement") forms part of the Master Services Agreement between [Controller Name] ("Controller") and [Processor/Vendor Name] ("Processor").

Subject Matter

Processor will process personal data on behalf of Controller for the purpose of providing [describe AI service, e.g. AI-powered document analysis, AI writing assistance, AI code generation] as defined in the Master Services Agreement.

Nature of Processing

The processing activities may include collection, storage, analysis, structuring, retrieval, use, disclosure, and deletion of personal data as necessary to provide the contracted services. Processing shall occur exclusively in automated form unless otherwise agreed in writing.

Categories of Data Subjects

[e.g. Employees and contractors of the Controller; customers and prospects of the Controller; end users of the Controller's products — customise as applicable]

Categories of Personal Data

[e.g. Names, email addresses, job titles, professional communications, document content, usage data — customise based on actual data flows. Specify separately if any special category data under GDPR Article 9 is processed]

Processing Duration

Processing will continue for the term of the Master Services Agreement and until all personal data is returned or deleted in accordance with Section 6 of this Agreement.

Important: AI-specific clause — Processor shall not use Controller's personal data, prompts, or outputs to train, fine-tune, or improve Processor's AI models or any third-party AI models. Processing shall be limited solely to delivering the contracted services.

How to Negotiate an AI Vendor DPA

Follow these steps to review, negotiate, and execute a DPA with your AI vendors. Involve your legal counsel and DPO throughout the process.

1
Map data flows before reviewing the DPA
Before you can review a DPA, map exactly what personal data will flow to the AI vendor, for what purpose, under what legal basis, and whether data will leave your jurisdiction. Without this, you cannot identify which clauses are critical for your specific use case.
2
Identify and remove AI model training clauses
Review the vendor's standard DPA for clauses permitting use of your data to train AI models. This is the most common AI-specific risk in vendor DPAs. Require explicit written commitment that your data will not be used for model training, fine-tuning, or product improvement.
3
Negotiate the sub-processor list and transfer provisions
AI vendors typically use multiple sub-processors for model hosting and compute. Ensure the DPA includes a complete sub-processor list, 30-day advance notice of changes, your right to object, and appropriate transfer mechanisms (SCCs or adequacy decisions) for all cross-border processing.
4
Verify security certifications and audit rights
Request the vendor's ISO 27001 certificate and SOC 2 Type II report before signing. Ensure the DPA includes your right to audit compliance and the vendor's obligation to cooperate. A DPA without audit rights is difficult to enforce.
5
Track DPAs in your AI vendor register
Record the executed DPA in your AI vendor register with the effective date, annual review date, and breach notification contact. Set reminders for annual reviews — AI vendor sub-processor lists and terms change frequently. Failure to maintain current DPAs is a common GDPR audit finding.

Frequently Asked Questions

Track DPA Status Across All Your AI Vendors

Aona maintains a live vendor register that tracks which AI tools have executed DPAs, which are pending review, and which are flagged for renewal. Get full visibility of your AI vendor compliance posture without the spreadsheet maintenance.

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