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Assessments, matrices and reports · Assessment template · Legal

Legitimate Interest Assessment for AI

Three-step test (purpose, necessity and balancing) to document legitimate interest as the legal basis for training or using AI with personal data.

GROU LLC · built on AI Business Core, by Vreinn · · How we verify sources

Who it helps

Companies that train, fine-tune or use models with personal data without consent, in the EU or Ecuador.

Who uses it
DPO, legal, privacy and data teams
Usual owner
DPO; legal
Formats
DOCX, PDF
Languages
Español, English
Approximate length
6 pages
Length
Standard. A complete policy, procedure, plan or guide, with roles, deadlines and evidence.
Document type
Assessments, matrices and reports. Tools to analyze a system, a vendor or a risk and document the conclusion.
Document code
APG-LEG-005. APG is the AI Policy Generator collection, LEG the area (Legal) and the number identifies the document. Use it to cite the document in your document system.

Preview

Excerpt generated from the document: the "How to use this document" section, the title and the first two sections, plus the full table of contents. The rest of the text is not shown.

APG-LEG-005 · Version 1.1.0 · sources as of November 4, 2026

How to use this document

  • Use it to document, before starting, whether legitimate interest can serve as the legal basis for training, fine-tuning or using an AI system with personal data, applying the three-step test: purpose, necessity and balancing.
  • Suggested owners: the data protection officer (DPO) or privacy function, with legal. The AI project owner and the data team provide the technical description and the measures.
  • Before adopting it, decide who signs the assessment, which result means another legal basis must be found and how the right to object will be handled.
  • Complete one assessment per processing activity and per phase. Training a model and using it in production are different phases and may produce different results.
  • If the processing includes sensitive data, legitimate interest alone is not enough: review section 7 before continuing.
  • If the assessment concludes that legitimate interest is not valid, file it anyway and document the alternative basis or the decision not to process.
  • Keep only the variants for the countries where the processing takes place and delete the rest.
  • Ask internal legal or an outside advisor to review the assessment, especially the balancing and the mitigation measures, and have the DPO give a written opinion.
  • Approve the assessment with the signature of a person with authority over the processing, keep it under version control and link it to the record of processing activities and, if there is one, to the impact assessment.

Legitimate Interest Assessment for AI

Field Content
Organization [LEGAL ENTITY NAME] ([ORGANIZATION NAME])
Processing assessed [COMPLETE]
AI system [AI SYSTEM]
Phase Development (training or fine-tuning) / Deployment (production use) / Both
Model or service provider [VENDOR]
Processing owner [OWNER]
Function [RESPONSIBLE FUNCTION]
Countries [COUNTRY]
Reference in the record of processing activities [COMPLETE]
Linked impact assessment [COMPLETE] / Not applicable
Version and date [COMPLETE] / [DATE]
Privacy contact [PRIVACY EMAIL]

1. Purpose and scope

1.1. [ORGANIZATION NAME] carries out this assessment to decide, and record, whether its legitimate interest, or that of a third party, allows personal data to be processed in the activity described without the interests, rights and freedoms of the people affected overriding it.

1.2. The assessment is completed before processing starts and reviewed when the purpose, data, sources, model or context of use change.

1.3. Each phase of the AI system lifecycle is assessed separately when its characteristics differ: data collection, training or fine-tuning, evaluation, deployment and continuous improvement with usage data.

2. Description of the processing

Element Description
Specific purpose [COMPLETE: for example, "train a model that detects fraudulent card payment transactions"]
AI system functions [COMPLETE]
Categories of personal data [COMPLETE]
Data sources Provided by individuals / Generated by the relationship / Obtained from third parties / Collected from public internet sources / Other: [COMPLETE]
People affected Customers / Users / Staff / Candidates / General public / Other: [COMPLETE]
Are children or vulnerable people involved? Yes / No / Cannot be ruled out
Approximate volume [COMPLETE: people and records]
Retention [COMPLETE]
Recipients and vendors [COMPLETE]
International transfers Yes / No. File: [COMPLETE]
Can the resulting model contain personal data? Yes / No / To be checked (see section 6)

Full table of contents of the document:

  • 1. Purpose and scope
  • 2. Description of the processing
  • 3. Step 1. Purpose test
  • 4. Step 2. Necessity test
  • 5. Step 3. Balancing test
  • 6. Does the model contain personal data?
  • 7. Sensitive data and children
  • 8. Transparency and right to object
  • 9. Conclusion
  • 10. Signatures
  • Country variants
  • Implementation aids
  • Related regulatory references
  • Version history

Rules in the registry whose obligations relate to this base document, based on our reading of the sources. It does not mean they apply to you.

Brazil

Chile

Ecuador

Spain

European Union

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