Anonymize FTC Section 5 complaint response documents for privilege review – CCPA/HIPAA-compliant de-identification per 15 USC §45

FTC Act §5, codified at 15 USC §45, prohibits unfair or deceptive acts or practices and forms the basis for FTC enforcement of privacy promises made in consumer-facing policies. Documents assembled in response to an FTC civil investigative demand or complaint contain consumer personal information and internal business records. anonym.legal pseudonymizes these materials for outside-counsel privilege review.

When this applies

Use this workflow when assembling documents in response to an FTC civil investigative demand, complaint, or consent-decree monitoring request under §5, before sharing materials with outside counsel for privilege review and prior to any regulatory production.

  1. Collect responsive documents — consumer complaint records, privacy-policy versions, data-processing records, internal communications — from relevant business units.
  2. Upload the document set to anonym.legal in PDF, DOCX, or structured format.
  3. The engine identifies consumer personal information in complaint exhibits and data-processing records, pseudonymizing each consumer consistently.
  4. Internal operational records — policy version dates, system configuration documentation — are pseudonymized at the employee-identifier level based on privilege-review configuration.
  5. Document metadata (date created, author department, review status) is preserved as structural content.
  6. A reversible mapping key is encrypted and stored with US data residency for authorized re-identification during proceedings.
  7. The pseudonymized document set is delivered to outside counsel for privilege review, relevance assessment, and redaction before any FTC submission.

What you provide

  • Consumer complaint records forming the basis of the FTC inquiry
  • Privacy policy versions and consumer-facing disclosures referenced in the complaint
  • Internal data-processing records and communications responsive to the civil investigative demand

Limitations & cautions

  • anonym.legal does not provide legal advice on FTC §5 compliance posture or defense strategy; outside counsel must direct the enforcement response.
  • FTC civil investigative demands may require production of actual consumer records; re-identification will be necessary before formal submissions.
  • The scope of §5 unfair-or-deceptive-acts analysis is fact-specific; the pseudonymization workflow does not assess whether challenged practices constitute violations.
  • Consent decrees under §5 impose ongoing monitoring obligations; pseudonymized compliance reports must be re-identified before submission to FTC monitors.

FAQ

How does FTC §5 relate to CCPA enforcement?

FTC §5 and CCPA operate independently. The FTC enforces §5 against unfair or deceptive privacy practices across all US businesses regardless of location, while CCPA is enforced by the California Privacy Protection Agency against California-law violations. A single incident may trigger both FTC and CPPA inquiries; pseudonymized documents prepared for one proceeding can be adapted for the other.

Can this workflow process documents produced under an FTC consent decree monitoring obligation?

Yes. Consent decree monitoring often requires periodic submission of compliance reports containing consumer or operational data. The workflow pseudonymizes working copies for internal review and outside-counsel preparation before re-identification for formal monitor submission.

Are consumer complaint records submitted directly to the FTC eligible for pseudonymization?

The FTC's Consumer Sentinel complaint records are received directly by the agency and are not re-pseudonymized by the business. However, internally held records of the same consumer complaints — support tickets, customer-service logs — that are responsive to an FTC civil investigative demand can be pseudonymized for privilege-review purposes before production decisions are made.

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.