Anonymize SAR Narratives for AML Training and Quality Review – CCPA/HIPAA-compliant de-identification per 31 CFR §1010.320

Suspicious Activity Reports filed under 31 CFR §1010.320 contain named subjects, account references, and transaction typologies that identify real customers. anonym.legal pseudonymizes these personal identifiers so compliance teams can use live SAR narratives for AML training and quality review without disclosing the subject's identity or triggering tipping-off concerns.

When this applies

Apply this workflow when AML training facilitators or quality-review teams need illustrative SAR examples drawn from real filings. The workflow also applies when second-line compliance reviews SAR narrative quality and completeness using existing filed reports.

  1. Upload the SAR narrative (PDF, DOCX, or plain text) to anonym.legal in a secure, access-controlled session.
  2. The engine identifies the subject's name, account numbers, date of birth, Social Security Number, address, and any named transaction counterparties in the narrative section.
  3. Each individual and account reference is pseudonymized consistently; the suspicion typology, transaction pattern, amounts, and red-flag indicators are preserved in plain text.
  4. Grounds-of-suspicion language, reporting-period dates, and the FinCEN activity-code classification remain unchanged.
  5. A reversible mapping table is generated and encrypted with US data residency, accessible only to the uploading compliance officer.
  6. Export the pseudonymized narrative for training distribution or quality-review circulation.
  7. Retain the original filed SAR unchanged in your BSA recordkeeping system as required by 31 CFR §1010.320.

What you provide

  • Filed or draft SAR narrative in PDF, DOCX, or plain-text format
  • Supporting transaction summary attached to the SAR (if applicable)

Limitations & cautions

  • The pseudonymized narrative must never be submitted to FinCEN in place of the original; regulatory filings require real identities.
  • anonym.legal does not assess whether the SAR narrative meets FinCEN's quality or completeness standards.
  • Transaction counterparty names that are corporate entities rather than natural persons are preserved unless flagged for pseudonymization.
  • Highly contextual descriptors — such as a uniquely described occupation in a small industry — may require manual review after processing.

FAQ

Does pseudonymizing a SAR narrative violate BSA tipping-off rules?

No. Pseudonymization removes the identifying information that would allow the subject to be identified, so the pseudonymized version does not constitute an impermissible disclosure under BSA. However, the original SAR and its existence remain protected — consult your BSA Officer before distributing the pseudonymized version outside the compliance team.

Will the suspicion grounds and red-flag indicators be preserved?

Yes. The suspicion narrative, typology description, red-flag indicators, and transaction patterns are preserved verbatim. Only the personal identifiers — names, account numbers, SSNs, and addresses — are pseudonymized.

Can I batch-process multiple SARs for a typology library?

Yes. Upload multiple SAR narratives in a single batch. The engine applies consistent pseudonyms across individuals who appear in more than one filing.

How are multiple subjects named in a single SAR handled?

Each subject receives a distinct, consistent pseudonym applied uniformly throughout the narrative, preserving the multi-subject structure of the report.

Financial Services Compliance

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.