Anonymize COPPA verifiable parental consent records for audit and regulatory review – CCPA/HIPAA-compliant de-identification per 16 CFR §312.5

COPPA's implementing rule at 16 CFR §312.5 requires operators of child-directed services to obtain verifiable parental consent before collecting personal information from children under 13. Consent records contain parent names, email addresses, and child-linked identifiers. anonym.legal pseudonymizes these records for safe audit, litigation-support, and FTC inquiry preparation.

When this applies

Apply this workflow when verifiable parental consent records must be shared with outside counsel, a privacy auditor, or in response to an FTC inquiry without exposing parent or child personal information to unauthorized personnel.

  1. Upload parental consent records — email confirmations, consent form submissions, or structured consent-platform exports — to anonym.legal.
  2. The engine identifies parent personal information (name, email, postal address) and child-linked identifiers (child username, device ID, app account number).
  3. Parent and child identifiers are pseudonymized separately but linked by a consistent family-pseudonym pair, preserving the parent-child consent relationship for audit.
  4. Consent method type (e.g., email plus confirmation, credit-card verification, video conference), consent timestamp, and consent scope are retained as structural audit content.
  5. Any consent revocation records are processed with the same pseudonyms to preserve the consent lifecycle in the audit log.
  6. A reversible mapping key is encrypted and stored with US data residency.
  7. Pseudonymized consent records are exported for auditor or counsel review.

What you provide

  • Parental consent records in email export, PDF form submission, or structured consent-platform format
  • Consent revocation records if applicable
  • Consent-method taxonomy used by the platform for classification

Limitations & cautions

  • anonym.legal does not assess whether the consent mechanism used meets the 'verifiable parental consent' standard under 16 CFR §312.5; that determination requires FTC guidance review and legal counsel.
  • The tool does not evaluate whether the child's age-determination mechanism satisfies COPPA requirements; age-gating compliance is a separate legal assessment.
  • Pseudonymizing consent records does not substitute for the actual consent records required under COPPA; both sets must be maintained.
  • FTC enforcement actions may require production of actual consent records; re-identification will be necessary for formal regulatory submissions.

FAQ

The FTC's COPPA Rule lists several approved methods including signed consent forms submitted by postal mail or fax, credit or debit card transactions, toll-free telephone calls to trained personnel, video conferences, and government-issued ID verification. The workflow retains the consent-method field as a structural audit element so compliance with the approved-method list can be verified.

Once a user turns 13, COPPA protections no longer apply prospectively, but consent records from the period when the user was under 13 should be retained per the business's data-retention policy. The workflow can process historical consent records for users who have aged out of COPPA coverage while maintaining the audit trail of the consent that was obtained.

Yes. COPPA applies to operators of websites and online services directed to children, including mobile apps. Consent records from app-based platforms are processed with the same workflow; the platform-type field is retained as structural 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.