GDPR (Reg (EU) 2016/679)
full article-level, recitals included
Data protection that grounds every answer in the article, then turns it into evidence.
Ansvar is a gateway for the AI assistant your team already uses — Claude, Microsoft Copilot, any MCP client. Connect it, and every answer below comes back cited to the provision or marked unresolved.
Privacy is the gateway's deepest workflow lane. Ask a question and the answer comes from the GDPR article itself — then the same corpus runs your DPIA, privacy threat model, or contract review and returns each finding cited to the provision it rests on.
GDPR (Reg (EU) 2016/679)
full article-level, recitals included
ePrivacy Directive (2002/58/EC)
Law Enforcement Directive (EU) 2016/680
GDPR Art. 22 — automated individual decision-making
plus the EU AI Act intersection for AI-driven decisions
National GDPR-implementation statutes
audited GREEN set — see /coverage for the live jurisdiction footprint
Case-law fan-out where licensing permits
arrives inside search on paid tiers
DPIA — GDPR Art. 35
with Germany (BDSG) and Sweden (IMY) variants; drives Art. 36 prior-consultation and severity × likelihood scoring
LINDDUN privacy threat model
systematic privacy-threat elicitation over your data-flow diagram
Document review, paragraph-cited
a privacy notice, DPA, RoPA or processor contract against GDPR, each finding anchored to a doc:// segment
GDPR gap analysis
cited gap register with PDF / CSV / GRC-import export
STRIDE threat model for Art. 32 TOMs
security-of-processing measures evidenced against the article
FRIA — EU AI Act Art. 27
for AI systems processing personal data
National-divergence & transfer analysis
cross-jurisdiction comparison, legitimate-interest balancing (Art. 6(1)(f)), Chapter V transfers — assembled from cited research
Workflows run on Team and Company. Free & Premium run the same corpora as cited research inside your own AI client.
Connect the AI client you already use and ask your first cited question — Free, Premium and Team are self-serve.
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