AI privacy policy gap analyzer
Most privacy policies were written before generative AI entered the workflow. If your product now sends user data to an LLM provider, makes automated decisions, or contributes to model training, your policy probably has blind spots. This tool scans your existing policy text for the AI-specific topics regulators increasingly expect and flags which ones appear to be missing.
How it works
Paste the full policy text and the analyzer runs keyword and phrase matching for a set of AI-relevant disclosures: automated decision-making and profiling, the right to human review, AI sub-processors and subprocessor lists, AI training data use, data retention by AI vendors, and a contact route for AI-related requests. For each topic it reports whether matching language was found, and if not, it explains why the topic matters and offers starter wording. All processing happens locally in your browser — the text never leaves your machine.
Tips and notes
- “Found” means mentioned, not adequate. A single passing keyword does not guarantee the clause is sufficient; read the relevant section before relying on it.
- Update after every AI integration. Adding a new LLM vendor is a sub-processor change and usually needs a policy and changelog update.
- Pair with a subprocessor register. Regulators expect a maintained list of who processes data, including AI APIs.
- Get legal sign-off. This is a triage checklist, not a substitute for qualified data-protection advice.