Privacy Notice Generator

Tools

Privacy Notice Scaffolder

Generates a privacy notice skeleton with all required sections pre-populated with jurisdiction-specific placeholders and legal references.

# Website privacy notice for German jurisdiction
python scripts/privacy_notice_scaffolder.py \
  --notice-type website \
  --jurisdiction DE \
  --data-categories personal,contact,usage,cookies \
  --legal-bases consent,contract,legitimate_interests \
  --has-cookies \
  --has-international-transfers

# Employee notice for French jurisdiction with AI processing
python scripts/privacy_notice_scaffolder.py \
  --notice-type employee \
  --jurisdiction FR \
  --data-categories personal,employment,financial,health \
  --legal-bases contract,legal_obligation,consent \
  --has-ai

# B2C customer notice for UK with all features
python scripts/privacy_notice_scaffolder.py \
  --notice-type b2c \
  --jurisdiction UK \
  --data-categories personal,contact,financial,usage,marketing \
  --legal-bases consent,contract,legitimate_interests \
  --has-cookies --has-ai --has-international-transfers \
  --json

Supported Notice Types:

Supported Jurisdictions: DE, FR, AT, IT, ES, NL, BE, IE, UK

13-Section Notice Structure:

1. Controller identity and contact
2. DPO contact details
3. Data categories collected
4. Purposes and legal bases
5. Recipients and categories
6. International transfers
7. Retention periods
8. Data subject rights
9. Right to withdraw consent
10. Right to complain to SA
11. Automated decision-making
12. Cookies and tracking (if applicable)
13. AI processing (if applicable)

Notice Compliance Checker

Validates a privacy notice text against Art. 13/14 GDPR requirements and generates a compliance score with missing/incomplete elements.

# Check a privacy notice file
python scripts/notice_compliance_checker.py privacy_notice.md

# Check with jurisdiction-specific requirements
python scripts/notice_compliance_checker.py privacy_notice.md --jurisdiction DE

# Check with notice type for type-specific validation
python scripts/notice_compliance_checker.py privacy_notice.md \
  --jurisdiction DE --notice-type employee

# JSON output
python scripts/notice_compliance_checker.py privacy_notice.md \
  --jurisdiction FR --notice-type website --json

Checks For:

Output:

• Compliance score (0-100)
• Missing elements (must-fix)
• Incomplete elements (should-improve)
• Jurisdiction-specific findings
• Type-specific findings

Reference Guides

Notice Types Guide

references/notice_types_guide.md

Detailed guidance for 6 notice types:

• Platform sub-types for website/app notices
• Applicant-specific data categories and retention
• Employee notice with works council and monitoring requirements
• B2B Art. 14 requirements and source disclosure
• B2C soft opt-in and payment processing
• Combined notice merge strategies

Jurisdiction Requirements

references/jurisdiction_requirements.md

Jurisdiction-specific requirements for 9 jurisdictions:

• SA details and registration requirements
• Requirements beyond GDPR baseline
• Standard wording recommendations
• Retention guidance per jurisdiction

Compliance Verification

references/compliance_verification.md

5-layer verification system:

• Jurisdiction-specific checks
• Art. 13/14 mandatory disclosures
• General compliance checks
• Type-specific checks
• AI Act compliance
• Post-generation checklist
• Writing style guide

Workflows

Workflow 1: SCOPE → INTAKE → DRAFT → VERIFY → DELIVER

Step 1: SCOPE — Determine notice parameters
        → Notice type (website/applicant/employee/b2b/b2c/combined)
        → Jurisdiction (DE/FR/AT/IT/ES/NL/BE/IE/UK)
        → Special features (cookies, AI, international transfers)

Step 2: INTAKE — Gather information
        → Controller identity and DPO
        → Data inventory (categories, sources)
        → Purposes and legal bases per category
        → Recipients and processors
        → Transfer destinations and mechanisms
        → Retention periods per category
        → Cookie/tracking inventory (if website)
        → AI processing details (if applicable)

Step 3: DRAFT — Generate notice skeleton
        → python scripts/privacy_notice_scaffolder.py [params]
        → Fill in placeholders with actual information from intake
        → Add jurisdiction-specific clauses
        → Apply writing style guide (you/your, short sentences, tables)

Step 4: VERIFY — Run compliance checker
        → python scripts/notice_compliance_checker.py notice.md --jurisdiction [J] --notice-type [T]
        → Address all missing elements
        → Address incomplete elements
        → Review jurisdiction-specific findings

Step 5: DELIVER — Finalize and publish
        → Legal review sign-off
        → Technical review (links, formatting, accessibility)
        → Translation QA (if multilingual)
        → Publication with version control
        → Set review trigger calendar

Workflow 2: Notice Update

Step 1: Identify trigger (new processing, regulation change, annual review)
Step 2: Run compliance checker on current notice
Step 3: Identify gaps and required updates
Step 4: Draft updated sections
Step 5: Re-verify with compliance checker
Step 6: Notify data subjects of material changes
Step 7: Update version date and change log

Workflow 3: Multi-Jurisdiction Notice

Step 1: Generate base notice for primary jurisdiction
        → python scripts/privacy_notice_scaffolder.py --jurisdiction [primary] ...
Step 2: Check jurisdiction requirements for additional territories
        → See references/jurisdiction_requirements.md
Step 3: Add jurisdiction-specific supplements
        → DE: TDDDG telecom disclosures, DSK guidance
        → FR: CNIL cookie requirements, LIL specifics
        → UK: ICO guidance, UK transfer mechanisms
Step 4: Verify each jurisdiction version
        → python scripts/notice_compliance_checker.py notice_de.md --jurisdiction DE
        → python scripts/notice_compliance_checker.py notice_fr.md --jurisdiction FR
Step 5: Publish with language/jurisdiction switcher

Troubleshooting

Success Criteria

• 100% Art. 13/14 compliance score — all mandatory disclosure elements present; zero missing items
• Jurisdiction-specific requirements met — compliance checker confirms local SA requirements addressed
• Type-specific requirements met — notice covers all audience-specific data processing activities
• No placeholder text remaining — all template variables replaced with actual information
• Writing style guide followed — "you/your" voice; short sentences; tables for complex information; precise legal citations
• Legal review completed — qualified privacy counsel sign-off on final notice
• Publication requirements met — accessible, versioned, dated, with change notification mechanism

Scope & Limitations

In Scope:

• Privacy notice skeleton generation for 6 notice types across 9 jurisdictions
• Compliance checking against Art. 13/14 GDPR mandatory disclosures
• Jurisdiction-specific requirement validation (DE, FR, AT, IT, ES, NL, BE, IE, UK)
• Notice type-specific section generation and validation
• AI Act Art. 50 transparency disclosure sections
• Cookie and tracking technology disclosure sections
• Writing style and plain language guidance

Out of Scope:

• Legal advice on specific legal basis selection — consult qualified privacy counsel
• Translation services — tool generates English templates; professional translation required
• Cookie consent implementation or CMP configuration
• DPIA generation (see dpia-assessment skill)
• Privacy notice hosting or publication infrastructure
• Non-GDPR privacy notice formats (CCPA notice at collection, LGPD notices)
• Sector-specific notices (healthcare, financial services, children's services)

Anti-Patterns

Tool Reference

privacy_notice_scaffolder.py

Generates a privacy notice skeleton based on notice type, jurisdiction, and processing parameters.

notice_compliance_checker.py

Validates a privacy notice against Art. 13/14 GDPR requirements.