Data Retention Policy Generator

Drafting a data retention policy from scratch means looking up regulatory requirements (GDPR, HIPAA, GLBA, state laws), industry baselines, and your own business needs, then somehow harmonizing them into a single document that an auditor will read. Most teams either copy a generic template or never write one at all.

The generator produces a starting policy based on the data types you actually handle (employee records, customer PII, payment data, marketing data, logs, financial records, etc.), with recommended retention timeframes anchored to common regulatory minimums. Output covers retention periods per data category, deletion procedures, and rationale for each timeframe — the latter being what auditors actually scrutinize.

This is a starting document, not a final policy. Have an attorney review before publishing externally. Industry-specific obligations (PCI-DSS for payments, FERPA for education, etc.) may require timeframes longer than the defaults; the generator notes where to check for specifics.

What regulators actually look at when reviewing a retention policy is the chain of reasoning. A policy that says "we keep records for 7 years" without saying why fails. A policy saying "we keep tax records for 7 years per IRS guidance, employee I-9 forms for 3 years per USCIS requirements, customer transaction records for 5 years to support potential disputes within our terms-of-service window, and email logs for 90 days for operational debugging" passes — every period anchors to a specific need. The generator structures policies in this format because the format is the audit deliverable, not just the calendar entries.

Worked example for an e-commerce company with US and EU customers: customer profile data → 24 months after last activity (justified by reactivation patterns and GDPR minimization), payment records → 7 years (PCI-DSS Requirement 3.2 plus tax recordkeeping), shipping records → 3 years (warranty support window), marketing email engagement data → 12 months (active campaign relevance), web server logs → 30 days (operational debugging only), security logs → 12 months (incident investigation window). The generator outputs each row with its rationale; an attorney review verifies that the rationales are defensible and adds anything missing.

The limits the generator can't address: regulator interpretations vary, particularly across EU member states under GDPR. The text of GDPR is a directive that each country implements with national variations, so a "GDPR-compliant" policy may be sufficient in Germany but require additional clauses in France or Spain. State-level US laws (CCPA, CPRA in California; CDPA in Virginia; VCDPA; and so on) add their own requirements. The generator covers federal-level US and core GDPR; state-specific requirements need explicit additions. An attorney with privacy practice in your operating jurisdictions is the necessary follow-up.

The most common operational failure is the gap between policy and practice. The policy says "delete after X years"; the actual deletion never happens because nobody owns the deletion job, the database has no scheduled cleanup, and backups silently retain everything. Auditors increasingly check whether policies are operationalized — they ask for the deletion job logs, the backup retention configuration, the user request fulfillment SLAs. A policy you can't operationalize is worse than a less ambitious policy you can. Match the policy to what your engineering can actually enforce, then upgrade both together.