Anonymize means-test supporting documents for debtor-education use – CCPA/HIPAA-compliant de-identification per 11 USC §707(b)

The Chapter 7 means test under 11 USC §707(b) requires debtors to disclose six months of income, household composition, and expense data to determine eligibility. Supporting documents — pay stubs, bank statements, tax returns — are intensely personal. anonym.legal pseudonymizes these income and identity fields so mean-test worksheets can support debtor-education programs and legal-aid training.

When this applies

Use this workflow when means-test worksheets and their source documents must be shared with debtor-education providers, US Trustee staff for training, or law-school clinics where individual debtor identity is not relevant.

  1. Upload the Official Form B122A-1 means-test worksheet and supporting pay stubs, bank statements, or tax returns to anonym.legal.
  2. The engine identifies the debtor's name, SSN, employer name, address, account numbers, and income-source details across all documents.
  3. Each identifier is pseudonymized consistently so that income figures remain traceable to the correct debtor alias throughout the worksheet.
  4. Gross income figures, deduction amounts, and the final above-median or below-median determination are preserved as structural data.
  5. The encrypted mapping is stored with US data residency for authorized re-identification.
  6. Pseudonymized documents are exported as a complete package for use in debtor-education materials.
  7. The workflow can process both Form B122A-1 (below-median) and B122A-2 (above-median) sets in the same job.

What you provide

  • Official Form B122A-1 or B122A-2 in PDF or DOCX format
  • Supporting income documents: pay stubs, bank statements, Social Security award letters, or tax returns
  • Instruction on whether employer names should be pseudonymized or retained for industry-classification purposes

Limitations & cautions

  • anonym.legal does not calculate means-test outcomes or advise on Chapter 7 eligibility; legal counsel must make that determination under 11 USC §707(b).
  • Tax returns contain many fields; the tool targets the most common identifier fields but a manual review of the processed document is recommended.
  • State-median income figures used in the means test are retained as public statistical data, not pseudonymized.
  • Bank statements with unusual formatting may require pre-processing to ensure accurate field detection.

FAQ

Will pseudonymizing the pay stubs affect the income calculations on the means-test form?

No. Income figures are non-personal structural data and are preserved verbatim. Only the employer name and debtor identifiers are pseudonymized; the arithmetic on the worksheet remains intact.

Can the workflow handle both Form B122A-1 and B122A-2 in the same batch?

Yes. Both above-median and below-median means-test forms, along with their respective supporting documents, can be uploaded together and processed as a unified set.

Does the means-test pseudonymization extend to the Chapter 13 disposable income form?

Chapter 13 disposable-income calculations use a different official form. While the same anonymization logic applies, Chapter 13 plan documents should be processed separately using the chapter-13-plan-anonymization workflow.

Is the final above-median or below-median determination visible in the pseudonymized version?

Yes. The outcome field — above or below state median — is structural data and is preserved in the pseudonymized document, allowing educators to use real-world outcome examples without revealing the debtor's identity.

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.
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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.