Artifact TemplateEU

EU GDPR LIA Template

Document whether Article 6(1)(f) can support a specific processing purpose before relying on legitimate interests.

The template captures the controller's interest, necessity analysis, data-subject impact, safeguards, transparency text, objection handling, and records needed to demonstrate the assessment.

Author
Sorena AI
Published
May 9, 2026
Updated
May 9, 2026
Sections
5

Structured answer sets in this page tree.

Primary sources
3

Cited legal and guidance references.

Publication metadata
Sorena AI
Published May 9, 2026
Updated May 9, 2026
Overview

A legitimate interests assessment is useful only when it tests a real Article 6(1)(f) processing purpose. Use this template before launch or material change to show the interest pursued, why the processing is necessary, whether the individual's interests or rights override it, and what safeguards and objection handling keep the decision accountable.

Section 1

Assessment header and lawful-basis gate

Open the LIA with a concrete processing activity, not a project name. The record should identify the controller, business owner, product or service, categories of personal data, categories of data subjects, recipients, retention position, related RoPA entry, and whether the activity includes children, special category data, criminal-offence data, systematic monitoring, profiling, or international transfers.

Use Article 6(1)(f) only for processing that is necessary for legitimate interests pursued by the controller or a third party and is not overridden by the data subject's interests, rights, and freedoms. If another Article 6 basis is the real reason for the processing, record that basis instead of forcing the LIA.

  • Processing activity: describe the exact collection, use, disclosure, storage, or matching operation being assessed.
  • Purpose statement: state the legitimate interest in one sentence and identify whether it belongs to the controller or a third party.
  • Excluded bases: explain why consent, contract, legal obligation, vital interests, or public task are not the selected Article 6 basis for this activity.
  • Risk flags: identify children, vulnerable people, sensitive context, unexpected use, profiling, large scale processing, or high-risk indicators that may require DPIA review.
  • Approval fields: record preparer, legal or privacy reviewer, business approver, DPO input if requested, approval date, review trigger, and linked RoPA identifier.
Section 2

Purpose and necessity fields

The purpose section should make the interest specific enough to test. Avoid broad labels such as fraud prevention, security, analytics, or product improvement unless the record explains the actual outcome sought and why this processing contributes to that outcome.

The necessity section should test whether the same purpose can reasonably be achieved with less personal data, fewer people affected, shorter retention, less intrusive matching, aggregation, anonymisation, pseudonymisation, or a different operational process.

  • Legitimate interest field: name the concrete interest, the beneficiary, and the operational problem the processing addresses.
  • Purpose limitation field: explain how the use fits the original collection context or whether further-processing compatibility needs a separate assessment.
  • Data-minimisation field: list each personal-data category and why that category is needed for this purpose.
  • Alternative options field: document options rejected, such as aggregate reporting, manual review, reduced data fields, shorter retention, opt-in collection, or local processing.
  • Necessity conclusion: choose pass, fail, or redesign needed, with the reason tied to the specific data and processing operation.
Section 3

Balancing test fields

The balancing section is the core of the LIA. It should compare the controller's or third party's interest with the likely impact on the people whose data is processed, using the real context rather than generic risk language.

Record facts that can change the outcome: the relationship with the data subject, whether the processing is expected, whether people can avoid or control it, the sensitivity of the data, the scale and frequency of processing, and the consequences if the assessment is wrong.

  • Data-subject context: customer, employee, prospect, child, user, complainant, beneficiary, or other category, with any vulnerability or dependency noted.
  • Reasonable expectations: explain what the person was told, how the data was collected, and whether the processing would be surprising in that context.
  • Impact assessment: describe possible financial, confidentiality, exclusion, discrimination, monitoring, reputational, autonomy, or distress impacts.
  • Special caution: do not pass the LIA without escalation where children's data, special category data, criminal-offence data, automated profiling, or high-risk monitoring changes the balance.
  • Balancing conclusion: state whether the legitimate interest overrides the impact, the impact overrides the interest, or the activity may proceed only with specified safeguards.
Section 4

Safeguards, transparency, and objection handling

A pass should depend on concrete safeguards, not on optimistic wording. The template should list controls already implemented and controls required before launch, with owners and evidence links.

If processing relies on Article 6(1)(f), privacy information should identify the legitimate interests pursued. The LIA should also explain how people can object on grounds relating to their particular situation, who triages objections, and when processing must stop unless compelling legitimate grounds or legal-claims grounds apply.

  • Safeguard fields: access controls, role separation, data minimisation, pseudonymisation, retention limits, logging, human review, suppression lists, vendor limits, and security measures.
  • Transparency fields: Article 13 or Article 14 notice location, legitimate-interest wording, affected audience, publication date, and owner for updates.
  • Objection intake: channel, routing owner, identity or request validation, deadline policy, pause or suppression action, decision approver, and response text.
  • Override record: if processing continues after an objection, record the compelling legitimate grounds or legal-claims rationale and the reviewer.
  • DPIA escalation: if the LIA reveals likely high risk that is not mitigated, link the DPIA or record why the activity is not proceeding.
Section 5

Evidence pack and review triggers

The completed LIA should be understandable without reconstructing the project history. Store the assessment with the linked RoPA entry, privacy notice, data-flow diagram, vendor record, retention rule, product requirement, security-control evidence, objection-handling log, and approval trail.

Reopen the LIA when a material fact changes. Examples include a new purpose, new data category, new data-subject group, new recipient, new transfer, longer retention, new profiling logic, new monitoring scale, new child-facing context, unresolved objections, or a DPIA finding that changes the risk picture.

  • Minimum evidence: final LIA, source citations, processing description, data map, RoPA link, notice text, safeguard proof, approval record, and review date.
  • Operational evidence: tickets showing implemented controls, access reviews, retention configuration, vendor restrictions, logging, and objection workflow test results.
  • Decision outcomes: approved, approved with safeguards, redesign required, different lawful basis required, DPIA required, or processing rejected.
  • Review triggers: purpose change, data expansion, recipient or transfer change, retention change, new vulnerable audience, objection pattern, incident, or audit finding.
  • Accountability check: the record should show why Article 6(1)(f) was selected, why processing is necessary, why the balance passes, and how individuals can exercise objection rights.
Primary sources

References and citations

eur-lex.europa.eu
Referenced sections
  • Article 5(2) requires accountability and Article 24 requires controllers to implement measures and demonstrate GDPR-compliant processing.
"be able to demonstrate compliance"
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