Expert Report Anonymization under FRCP Rule 26: redact non-party personal data before disclosure – CCPA/HIPAA-compliant de-identification per FRCP Rule 26

Expert reports disclosed under FRCP Rule 26 often incorporate medical records, financial data, employment histories, or survey results that contain personal data about individuals who are not parties; anonym.legal pseudonymizes those third-party identifiers across the report and any appendices, enabling internal review and opposing-expert consultation without unnecessary personal-data exposure before formal disclosure.

When this applies

Applies when a testifying or consulting expert's draft report cites or incorporates third-party personal data and counsel wishes to circulate the draft internally or share it with co-counsel or a consulting expert without exposing that data in full.

  1. Upload the draft expert report and any appendices or data files in PDF or DOCX format.
  2. Configure the allow-list to retain the named plaintiff, defendant, and the expert's own name and credentials in full.
  3. anonym.legal identifies personal identifiers — patient names, account numbers, employee identifiers, survey-respondent names — across the report and all appendices.
  4. Each third-party individual is pseudonymized consistently across the report body and appendices.
  5. Expert opinions, methodology descriptions, and conclusions are preserved without alteration.
  6. A reversible mapping is stored in encrypted form; the attorney can restore clear names when finalizing the report for Rule 26 disclosure.
  7. Finalize and re-identify the report before serving the opposing party pursuant to the scheduling order.

What you provide

  • Draft expert report (PDF or DOCX)
  • Appendices, data schedules, or underlying datasets annexed to the report
  • Allow-list of named parties and the expert's identity to retain in full

Limitations & cautions

  • The expert's opinion, methodology, and qualifications are not reviewed or altered by anonym.legal — substantive accuracy is the expert's and counsel's responsibility.
  • Rule 26 expert disclosures carry specific timing obligations under the scheduling order — anonym.legal does not monitor or enforce those deadlines.
  • Consulting expert reports that will not be disclosed to opposing counsel do not require the same level of re-identification before sharing with the client.

FAQ

What does Rule 26 require for testifying expert disclosures?

Rule 26 requires a written report containing the expert's opinions, the basis and reasons for them, the facts or data considered, any exhibits to be used, the expert's qualifications, prior testimony, and compensation. The report must be signed by the expert.

Can I use anonym.legal to pseudonymize the underlying data relied on by the expert?

Yes — upload the underlying datasets or case files as appendices in the same session so pseudonyms are consistent between the report body and the supporting data.

Does opposing counsel receive the same pseudonymized version?

No — the version produced to opposing counsel under Rule 26 must be the re-identified, clear-name version. Pseudonymization is an internal-review step only.

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.
  • 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.