Anonymize CCPA right-to-delete request files for compliance review and audit – CCPA/HIPAA-compliant de-identification per Cal. Civ. Code §1798.105

CCPA §1798.105 requires businesses to delete a California consumer's personal information upon verified request. The request records themselves — containing the requester's identity and the categories of data deleted — must be retained for audit purposes without exposing the consumer's personal information to unauthorized staff. anonym.legal pseudonymizes these records for safe internal review.

When this applies

Apply this workflow when your privacy-operations team needs to share deletion-request logs with outside counsel, internal auditors, or a regulator while protecting the identity of the individual consumer whose deletion was fulfilled.

  1. Upload the deletion-request file or batch of request records (PDF, DOCX, CSV, or structured export) to anonym.legal.
  2. The engine identifies personal data in the request: consumer name, email address, postal address, account number, and any device or online identifiers submitted as verification.
  3. Each consumer is assigned a consistent pseudonym across all occurrences in the request record and any associated acknowledgment correspondence.
  4. The categories of personal information deleted and the business unit that processed the request are retained as structural audit content.
  5. Timestamps, request identifiers, and confirmation codes are preserved in their original form so the audit trail remains intact.
  6. A reversible mapping key is encrypted and stored with US data residency, enabling re-identification for regulatory proceedings if required.
  7. The pseudonymized request log is exported for sharing with auditors or outside counsel, or for bulk analytics over deletion-request volume and response times.

What you provide

  • Deletion-request records in PDF, DOCX, CSV, or structured privacy-management-platform export format
  • Any associated consumer identity-verification correspondence
  • Confirmation of whether records should be processed individually or as a batch

Limitations & cautions

  • anonym.legal does not verify that the underlying deletion was carried out lawfully; that determination requires attorney review of the business's deletion practices.
  • The tool does not assess whether the request qualified for one of the §1798.105(d) exceptions; legal counsel must evaluate each exception claim.
  • State-level requirements under laws other than CCPA/CPRA are not addressed by this federal-and-California-law workflow.
  • Re-identification requires secure retention of the mapping key; loss of the key makes re-identification impossible.

FAQ

Does pseudonymizing the deletion-request log satisfy the CCPA's recordkeeping obligations?

Pseudonymization preserves the audit record in a form that demonstrates compliance — request received, verified, and fulfilled — without exposing the consumer's real identity to unauthorized personnel. The encrypted mapping ensures re-identification remains available to authorized compliance staff and regulators on request.

What if the consumer submitted multiple deletion requests across different business units?

Each consumer is assigned the same pseudonym across all their requests, so bulk analytics can track duplicate or repeat requests without revealing the individual's identity. Cross-unit matching is preserved through the consistent pseudonym.

Can this workflow help prepare evidence for a CCPA enforcement inquiry from the California Privacy Protection Agency?

Yes. Pseudonymized request logs can be disclosed to outside counsel or shared in a privilege-review workflow before production to the CPPA, reducing the risk of unnecessary consumer-identity exposure during the inquiry.

Are deletion requests submitted via an online portal handled differently from emailed requests?

No. The workflow processes the substantive content of the request record regardless of the intake channel — web portal, email, or toll-free number transcript. Channel metadata is retained as structural audit content.

Consumer Privacy

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.