DPIA Scaffold Generator
Generate a structured Data Protection Impact Assessment skeleton tailored to AI / ML processing in about five minutes. Six guided steps cover controller context, legal basis, data scope, AI specifics, necessity and proportionality, and the risk register — output is an eight-section Markdown document you can download or copy directly into your DMS.
What's being assessed?
Capture the project, the controller, and anyone you share controllership or processing with. These header fields anchor the rest of the document.
If no DPO is appointed, name the accountable privacy lead.
Common questions
Is the generated DPIA legally valid?
No — this is a scaffold, not a final DPIA. It produces a structured skeleton aligned to GDPR Art. 35 and WP29 / EDPB guidance, but the substantive content still needs to be written, reviewed by your DPO, and signed off by the controller.
When is a DPIA mandatory under GDPR?
Article 35(1) requires a DPIA where the processing is likely to result in a high risk to the rights and freedoms of natural persons. Article 35(3) lists three mandatory triggers — systematic and extensive automated decision-making with significant effect, large-scale processing of special category / criminal data, and systematic monitoring of publicly accessible areas. National supervisory authorities also publish lists of operations requiring a DPIA.
How does the AI Act change DPIA practice?
High-risk AI systems under the AI Act (Annex III + Annex I) require a parallel risk-management process under Art. 9 of the AI Act and technical documentation under Annex IV. A DPIA does not replace those, but the analyses should reference each other so reviewers can see the full picture in one place.
Does this tool send my data anywhere?
No. Everything runs entirely in your browser — answers are kept in component state, the Markdown is generated locally, and nothing is transmitted, logged, or stored on a server.
What does the export contain?
An eight-section Markdown document covering controller and accountability, processing description, data subjects + categories, AI / automated decision-making, necessity and proportionality, risk assessment, consultation, and sign-off. Placeholders mark every spot where team-specific judgment is still required.