Interrogatory Response Anonymization under FRCP Rule 33: protect third-party identifiers in answers – CCPA/HIPAA-compliant de-identification per FRCP Rule 33

Interrogatory responses under FRCP Rule 33 often identify third-party witnesses, customers, employees, and other individuals by name and contact information; anonym.legal pseudonymizes those third-party identifiers in draft interrogatory responses so internal teams and clients can review answer completeness without unnecessary exposure of non-party personal data before the responses are verified and served.

When this applies

Applies when litigation counsel is drafting Rule 33 interrogatory responses that identify non-party witnesses, list customer or employee names, or provide contact information for third parties who are not named parties to the action.

  1. Upload the draft interrogatory responses in DOCX or PDF format.
  2. Configure the allow-list to retain the responding party's name and any party-representative names in full.
  3. anonym.legal identifies third-party names, addresses, email addresses, telephone numbers, and other personal identifiers in the response text.
  4. Each non-party individual is pseudonymized consistently across all interrogatory answers.
  5. Legal objections, boilerplate reservation-of-rights language, and response numbering are preserved without alteration.
  6. A reversible mapping is stored in encrypted form so the attorney can restore full names before serving the final verified responses.
  7. Re-identify all pseudonyms and have the client verify and sign the final responses before service.

What you provide

  • Draft interrogatory responses (DOCX or PDF)
  • Responding party's name and officer names for the verification caption
  • Allow-list of party and counsel names to retain in full

Limitations & cautions

  • Interrogatory responses must be signed under oath by a party representative — anonym.legal does not facilitate that verification step.
  • The legal adequacy of objections and the substantive completeness of answers remain the responsibility of counsel.
  • The served version must contain full third-party names and contact details as responsive — ensure complete re-identification before service.

FAQ

How many interrogatories may a party serve under Rule 33?

FRCP Rule 33(a)(1) limits each party to 25 interrogatories, including all discrete subparts, unless the court orders otherwise or the parties stipulate to more.

Can I use anonym.legal to pseudonymize the attached document list served with interrogatory responses?

Yes — if the responses are accompanied by a list of responsive documents identifying third parties, upload both the responses and the document list in the same session for consistent pseudonymization.

What if the interrogatories ask the responding party to identify all persons with knowledge?

Such responses typically list third-party witnesses by name. Pseudonymize the draft for internal review, then restore all full names before serving — the other party is entitled to full identification of persons with knowledge.

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.

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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.
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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.