GDPR compliance is documentation-heavy and ongoing. AI compresses the documentation work substantially. The legal interpretations and risk decisions stay human (and ideally with an attorney). Here is the practical workflow.
1. Privacy policy drafting and updates. AI drafts from your actual data practices; attorney reviews.
2. Data Processing Impact Assessments (DPIAs). Structured analysis of new data processing activities.
3. Data Processing Agreement (DPA) drafting. Standard clauses customized for your vendor relationships.
4. Subject Access Request responses. Structured collection and response drafting.
Legal basis determinations. Attorney work.
Risk assessment of high-risk processing. Privacy officer + attorney.
Breach notification decisions. Always human.
Cross-border transfer mechanism selection.
I am writing a Data Processing Impact Assessment for [NEW PROCESSING ACTIVITY]. What data we will process: [TYPES] Why we will process it: [LEGAL BASIS] Who will process it: [INTERNAL / VENDORS] Who can access it: [LIST] How long we will retain it: [PERIOD] What security measures we have: [SUMMARY] Generate the DPIA: 1. Description of processing 2. Necessity and proportionality assessment 3. Risk to data subjects (specific risks, not generic) 4. Mitigations in place 5. Residual risk after mitigations 6. Whether a Data Protection Officer or supervisory authority consultation is required Flag anything that requires legal review before finalizing.