Anonymize TCPA consent records for litigation defense and compliance audit – CCPA/HIPAA-compliant de-identification per 47 USC §227

The Telephone Consumer Protection Act, 47 USC §227, requires prior express written consent before placing certain automated calls or sending text messages. Consent records linking phone numbers to individual subscriber identities are critical litigation evidence. anonym.legal pseudonymizes these records so outside counsel can assess consent chain integrity and prepare class-action defenses without unnecessary personal-data exposure.

When this applies

Apply this workflow when TCPA consent records must be reviewed by outside counsel, litigation-support experts, or compliance auditors to assess consent scope, coverage, and chain of custody without exposing subscriber personal information.

  1. Export consent records from your consent-management platform or CRM in CSV, JSON, or structured format.
  2. Upload the records to anonym.legal; the engine identifies subscriber personal information: name, phone number, email address, and IP address at time of consent.
  3. Each subscriber is pseudonymized consistently across all consent events, revocation records, and communication logs.
  4. Consent source (e.g., web form URL, point-of-sale capture, lead-generation vendor), consent timestamp, and consent text version are retained as structural content for chain-of-custody analysis.
  5. Do-not-call list entries and opt-out events are processed with the same pseudonyms to preserve the full consent lifecycle.
  6. A reversible mapping key is encrypted and stored with US data residency.
  7. Pseudonymized consent records are exported for litigation-support analysis or compliance audit.

What you provide

  • TCPA consent records in CSV, JSON, or CRM export format
  • Do-not-call list entries and opt-out revocation records
  • Lead-generation vendor consent-chain documentation

Limitations & cautions

  • anonym.legal does not assess whether the consent language meets the 'prior express written consent' standard under 47 CFR §64.1200; that determination requires FCC guidance review and legal counsel.
  • The tool does not evaluate whether automated dialing equipment was used; TCPA applicability to the calling technology must be assessed separately by counsel.
  • Lead-generation consent chains involving multiple vendors require chain-of-custody documentation beyond what this workflow provides; vendor agreements and transfer logs must be reviewed separately.
  • Pseudonymizing consent records does not substitute for maintaining actual consent records; both versions must be retained.

FAQ

FCC rules under 47 CFR §64.1200 require that prior express written consent include a clear and conspicuous disclosure that the consumer authorizes contact via autodialer or pre-recorded message, the phone number to which calls may be placed, and the consumer's signature. The consent-text-version field retained in the pseudonymized record enables counsel to verify disclosure adequacy.

Yes. Pseudonymized records can support expert statistical analysis of consent coverage across a putative class without disclosing real subscriber identities to litigation-support experts. Re-identification is available for specific records if individual consent disputes arise during litigation.

Lead-generation consent chains are a common source of TCPA disputes. The workflow processes vendor-supplied consent records with the same pseudonymization logic and retains the vendor source identifier as a structural field, enabling counsel to assess whether consent was obtained through an approved channel without exposing subscriber identities.

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.