Production Set Anonymization under FRCP Rule 34: redact third-party data before document production – CCPA/HIPAA-compliant de-identification per FRCP Rule 34

FRCP Rule 34 governs requests for production of documents; production sets in federal civil litigation frequently contain personal data about third parties — customers, employees, patients — whose identifiers should be redacted or pseudonymized before production to opposing counsel, consistent with proportional discovery principles and applicable data-protection obligations.

When this applies

Applies when counsel is preparing a document production in response to a Rule 34 request and the responsive documents contain personal data about individuals who are not parties to the litigation.

  1. Upload the production-set documents in PDF or DOCX format, individually or as a batch.
  2. Configure the allow-list to retain party names and any identifiers that are genuinely material to the claims or defenses.
  3. anonym.legal scans all documents and identifies third-party personal identifiers — names, addresses, email addresses, phone numbers, account numbers — across the full production set.
  4. Each third-party individual is assigned a consistent pseudonym across all documents in the production so cross-references remain coherent.
  5. Rule 5.2-covered identifiers (SSNs, birth dates, financial account numbers, minor names) are reduced to their Rule 5.2-compliant partial forms.
  6. A master reversible mapping table covering the entire production set is stored in encrypted form.
  7. Review the pseudonymized production for consistency before Bates-stamping and producing to opposing counsel.

What you provide

  • Responsive documents (PDF or DOCX, individually or as a batch archive)
  • Allow-list of party names and material identifiers to retain in full
  • Prior mapping table if this production is a supplement to an earlier production (for consistent pseudonyms)

Limitations & cautions

  • The determination of whether documents are responsive to Rule 34 requests and whether objections apply is a legal judgment for counsel — anonym.legal handles the technical pseudonymization step only.
  • Proportionality under Rule 26(b)(1) governs the scope of discovery; anonym.legal does not assess relevance or proportionality.
  • If a confidentiality order or ESI protocol governs the production, ensure the pseudonymization approach complies with the agreed terms before applying it.

FAQ

Does Rule 34 require production in native format or as PDFs?

Rule 34(b)(2)(E) requires production in the form in which the documents are ordinarily maintained or in a reasonably usable form. Native format, TIFF, or searchable PDF production is commonly agreed in ESI protocols. anonym.legal processes DOCX and PDF; native-format processing requires prior conversion.

Can I pseudonymize the production set before applying Bates stamps?

Yes — the standard workflow is to pseudonymize first, then apply Bates stamps to the pseudonymized set to ensure the stamped version matches what is produced.

What if opposing counsel objects to redaction of third-party personal data?

If the parties cannot agree, the producing party may seek a protective order under Rule 26(c) authorizing the redaction. Courts have generally allowed proportionate redaction of genuinely non-relevant personal data.

Civil Litigation

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.
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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.