Before
Privacy risk context is spread across systemsData categories, consent notes, retention rules, systems, and mitigations are collected but not assessed together.
- Data categories
- Systems
- Consent
New · New · Legal
Turn product and data flow notes into a privacy impact assessment draft. DearClaw uses the provided context to produce the final output: privacy assessment ready for review, with evidence, assumptions, open questions, and next actions.
USE CASE OUTCOME
Data categories, consent notes, retention rules, systems, and mitigations are collected but not assessed together.
DearClaw creates data-flow map, risk matrix, mitigation list, residual risk, review owner, and approval notes.
HOW IT RUNS

QUICK ANSWERS
Turn product and data flow notes into a privacy impact assessment draft. DearClaw uses the provided context to produce the final output: privacy assessment ready for review, with evidence, assumptions, open questions, and next actions.
Privacy Impact Assessment is for teams working on legal use cases in DearClaw.
Start with goal: Turn product and data flow notes into a privacy impact assessment draft., material: product and data flow notes, and result: Privacy assessment ready for review.
Privacy Impact Assessment produces Data flow, Risk matrix, and Mitigations.
Start with product and data flow notes plus the goal for this case. DearClaw organizes the context, highlights the important gaps, and turns it into the final output: privacy assessment ready for review.
It fits repeatable knowledge work when the user can provide useful source material and review the result before acting. It should not replace final judgment, approvals, or source-of-truth systems.
The related section links to nearby DearStore use cases that share audience, category, or output intent.