A Legitimate Interest Assessment is a structured risk-balancing exercise required under Article 6(1)(f) of the GDPR before relying on legitimate interest as a lawful basis for processing. The assessment applies a three-part test: identifying a specific, real, and non-speculative legitimate interest; establishing that the processing is strictly necessary to achieve that purpose; and weighing the organization's interest against the rights and freedoms of the data subject. If the individual's interests override the controller's, consent or another lawful basis must be sought instead.
Glossary
Legitimate Interest Assessment

What is Legitimate Interest Assessment?
A Legitimate Interest Assessment (LIA) is a three-part balancing test mandated by GDPR to determine whether an organization's commercial or operational interest in processing personal data overrides the privacy rights and freedoms of the data subject.
The final balancing step requires documenting whether a data subject would reasonably expect the processing at the time of collection and evaluating the potential for harm, including discrimination, reputational damage, or loss of confidentiality. A successful LIA must be documented in writing and made available to supervisory authorities upon request. It is distinct from a Data Protection Impact Assessment, though both may be required simultaneously for high-risk processing operations involving automated decision-making or special category data.
Frequently Asked Questions
Clear answers to the most common questions about conducting and documenting a Legitimate Interest Assessment (LIA) under GDPR.
A Legitimate Interest Assessment (LIA) is a mandatory three-part internal evaluation process required under Article 6(1)(f) of the GDPR before an organization can rely on 'legitimate interests' as its lawful basis for processing personal data. The assessment must balance the organization's legitimate business purpose against the fundamental rights and freedoms of the data subject. The three core tests are: the Purpose Test (identifying a specific, real, and non-speculative legitimate interest), the Necessity Test (demonstrating the processing is strictly necessary and no less intrusive alternative exists), and the Balancing Test (weighing the organization's interests against the reasonable expectations and potential harm to the individual). The outcome must be documented in writing to demonstrate accountability to supervisory authorities.
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Related Terms
Core concepts that intersect with the Legitimate Interest Assessment (LIA) process, forming the operational backbone of privacy-by-design data processing.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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