Anonymize discharge orders for debtor-education and legal research – CCPA/HIPAA-compliant de-identification per 11 USC §524

A discharge order entered under 11 USC §524 extinguishes the debtor's personal liability on discharged debts and permanently enjoins creditor collection efforts. It identifies the debtor by name and case number. anonym.legal pseudonymizes the debtor's name and personal identifiers so discharge orders can be used in debtor-education curricula and legal research on the scope and effect of the discharge injunction.

When this applies

Apply this workflow when discharge orders must be shared with debtor-education program providers, academic researchers studying discharge rates or scope, or bar-association training programs where the specific debtor's identity is not required.

  1. Upload the discharge order in PDF format to anonym.legal.
  2. The engine identifies the debtor name, co-debtor name, case number, and court designation.
  3. Debtor and co-debtor names are replaced with consistent pseudonyms.
  4. The chapter designation, discharge-exception language, and effective date are preserved as structural legal content.
  5. The encrypted mapping is stored with US data residency for authorized re-identification.
  6. The pseudonymized discharge order is exported for use in education or research materials.
  7. Batch processing supports discharge-rate research across large populations of cases.

What you provide

  • Discharge order in PDF as issued by the bankruptcy court
  • Any reaffirmation agreements or non-dischargeable debt schedules attached to the order
  • Indication of whether the case number itself should be masked or retained

Limitations & cautions

  • anonym.legal does not assess the scope or validity of the discharge; legal advice is required to determine which debts are affected under 11 USC §524.
  • The discharge injunction itself — prohibiting creditor collection — is a legal standard not modified by the pseudonymization process.
  • Case numbers are public record and are retained unless the user specifically requests masking.
  • Reaffirmation agreements attached as exhibits name the reaffirming creditor; those creditor names are pseudonymized in the same processing run.

FAQ

Does pseudonymization of the discharge order affect its legal force?

No. Pseudonymization is applied to the document for educational and research purposes only. The original court-issued order retains its full legal effect; the pseudonymized copy is not a court document.

Can the discharge order be processed alongside the original petition for a complete case study?

Yes. Uploading the petition, schedules, and discharge order together allows the engine to apply unified pseudonyms, enabling a complete case lifecycle to be taught without revealing the debtor.

Are reaffirmation agreement creditor names pseudonymized in the output?

Yes. Creditor names in attached reaffirmation agreements receive pseudonyms consistent with those applied to the same creditors in the schedules and claims.

Is a Chapter 13 discharge order processed differently from a Chapter 7 discharge order?

The pseudonymization process is the same. The chapter designation and any broader scope of discharge available in Chapter 13 are preserved as structural content in both cases.

Bankruptcy & Insolvency

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.