Use cases
DSAR redaction built for volume
For privacy ops and counsel who must answer access requests without leaking third-party data.
DSAR teams use Northdocs to produce subject access packs without drowning in page-by-page markup. Deterministic detectors catch structured IDs; AI covers names and addresses; humans accept identity dossiers; verification blocks exports that still contain personal data.
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Why DSAR work stalls
- Subject files mix the requester with dozens of third parties who must stay protected.
- Generic AI tools invent confidence without a verification gate.
- Spreadsheets and Adobe do not keep a case-level audit of who accepted what.
What Northdocs changes
- Case-scoped review with consistent pseudonyms when narrative must remain
- Fail-closed export so leftover PII cannot ship
- Trial seeded with a demo DSAR pack so teams see the flow immediately
How DSAR teams run Northdocs
- 1
Collect the subject file set into a Case
Import from upload or DMS connectors on Enterprise and trial evaluation paths.
- 2
Separate requester vs third-party identities
Use Fast Track dossiers to accept, skip, or pseudonymize consistently across documents.
- 3
Verify, then release
Download only after pending checks and verification pass. The case records who accepted each identity and Fast Track identity value.
Questions for this use case
- Can we pseudonymize instead of blacking everything out?
- Yes. Choose Redact or Pseudonymize per category so reviewers keep narrative context while identity stays protected.
- What if AI misses something?
- Structured IDs are caught by deterministic validators first. Unreviewed items can block export, and verification rejects surviving sensitive strings.
Start with a real pack
Upload documents, accept identities once, and export only after verification passes.