Anonymize Chapter 7 bankruptcy schedules for research and training – CCPA/HIPAA-compliant de-identification per 11 USC §521 / FRBP Rule 1007

A Chapter 7 schedule set is the group of Official Forms B106A through B106J that a debtor must file under 11 USC §521 and FRBP Rule 1007, disclosing assets, liabilities, income, and expenses within 14 days of the petition under Rule 1007(c). Congress enacted the Bankruptcy Code through the Bankruptcy Reform Act of 1978 and reorganized the bankruptcy court system through the Bankruptcy Amendments and Federal Judgeship Act of 1984. These schedules contain names, account numbers, property addresses, and creditor identities. anonym.legal pseudonymizes all personal data fields so schedules can be used for precedent drafting or debtor-education curriculum.

When this applies

Use this workflow when Chapter 7 schedules must be shared with trustees, legal-aid clinics, law-school clinics, or researchers where the debtor's identity and specific creditor relationships need not be disclosed.

  1. Upload the complete schedule set (B106A–B106J) in PDF or DOCX to anonym.legal.
  2. The engine identifies debtor and co-debtor names, SSNs, addresses, creditor names, account numbers, and property descriptions across all schedule forms.
  3. Each creditor entity and each individual named in the schedules receives a distinct, internally consistent pseudonym.
  4. Asset descriptions, claim amounts, exemption figures, and schedule totals are preserved as non-personal structural data.
  5. The encrypted mapping is stored with US data residency for authorized re-identification.
  6. Pseudonymized schedules are exported as a complete package aligned to the Official Form layout.
  7. For trustee training programs, multiple schedule sets can be processed in a single batch job.

What you provide

  • Official Forms B106A through B106J in PDF or DOCX format
  • Any amended schedules that supersede previously filed versions
  • Specification of which fields — creditor names, account numbers, property addresses — should be pseudonymized vs. masked

Limitations & cautions

  • anonym.legal does not verify the accuracy or completeness of the schedules; that responsibility rests with the debtor and counsel under 11 USC §521.
  • Highly descriptive property entries — such as a uniquely identifiable parcel address — may require supplemental manual review.
  • The tool does not calculate exemption eligibility or means-test figures.
  • State exemption elections made on the schedules reference state law not covered by this federal-level workflow.
  • Chapter 7 trustee compensation on funds recovered for the schedule D–F creditors is capped by 11 USC §326(a) at 25% of the first $5,000 disbursed, 10% of the next $45,000, 5% up to $1,000,000, and 3% above that; this workflow does not calculate or verify those figures.

FAQ

Are creditor account numbers suppressed automatically?

Yes. Account numbers appearing in the creditor schedules are detected and replaced with synthetic reference codes that preserve the structural listing without exposing real account data. According to Federal Rule of Bankruptcy Procedure 9037(a), the original filing already limits any account number shown to its last four digits.

What happens to the dollar amounts on Schedule D secured claims?

Dollar amounts are retained as non-personal data. Only identifiers such as creditor names and account numbers are pseudonymized, so the financial picture of the estate remains intact for educational use.

Can amended schedules filed after the initial petition be processed together?

Yes. Amended schedules can be uploaded alongside the originals, and the engine applies consistent pseudonyms across both sets so that the same creditor or individual appears under the same alias in all versions. According to the Administrative Office of the U.S. Courts, amended schedules remain part of the public docket in Chapter 7, 11, 12, and 13 cases alike.

Does the workflow cover the Schedule C exemption elections?

Schedule C exemption elections are included in the processing set. Exemption codes and dollar figures are preserved; only the debtor's personal identifiers that repeat on the form are pseudonymized. The federal exemption framework is set out in 11 USC §522, and the Bankruptcy Reform Act of 1994 roughly doubled the §522(d) dollar amounts and added the triennial indexation now codified at 11 USC §104.

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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

Hetzner holds 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.