Anonymize broker-dealer records preserved under SEC Rule 17a-4 – CCPA/HIPAA-compliant de-identification per 17 CFR §240.17a-4

SEC Rule 17a-4 under 17 CFR §240.17a-4 requires broker-dealers to preserve communications, order tickets, and customer records on non-erasable WORM media for defined retention periods. anonym.legal pseudonymizes customer and counterparty identifiers in these records so they can be shared with examiners or internal reviewers without exposing underlying client data.

When this applies

Apply this workflow when broker-dealer books-and-records are requested by FINRA or SEC examiners, produced in litigation discovery, or reviewed internally for compliance audits where customer identities are not required by the reviewing party.

  1. Upload preserved broker-dealer records — order tickets, trade confirmations, customer correspondence, or account statements — to anonym.legal in PDF, CSV, or structured export format.
  2. The engine identifies customer names, account numbers, Social Security Numbers, Tax Identification Numbers, and counterparty identifiers across all document types.
  3. Each customer or counterparty is assigned a consistent pseudonym that persists across all records in the batch, preserving analytical linkage between order tickets and confirmations.
  4. Trade data fields — security identifier, quantity, price, execution time, and exchange designation — are retained in plain text as non-personal structural content.
  5. WORM-preservation metadata and record-series identifiers required by 17 CFR §240.17a-4(f) are flagged and excluded from pseudonymization to maintain regulatory chain of custody.
  6. The reversible mapping between pseudonyms and real customer identifiers is stored encrypted with US data residency.
  7. The pseudonymized record set is exported for production to examiners or for internal review; re-identification is available on request.

What you provide

  • Broker-dealer records in PDF, CSV, or structured brokerage-system export format
  • Record series scope (e.g., order tickets, confirmations, correspondence, account statements)
  • Indication of whether records will be produced to an examiner or used for internal review

Limitations & cautions

  • anonym.legal does not assess whether a broker-dealer's record-preservation system satisfies the WORM-media requirements of 17 CFR §240.17a-4(f); that determination requires legal and technical review.
  • Highly contextual trade details — such as a uniquely sized block trade in an illiquid security — may retain indirect identifiability even after customer pseudonymization.
  • The tool does not validate the completeness of a firm's 17a-4 record set against required retention categories; scope completeness remains the firm's responsibility.
  • Re-identification requires secure retention of the mapping key; loss of the key makes re-identification impossible.

FAQ

Will WORM-preservation metadata be preserved after pseudonymization?

Yes. Record-series identifiers, retention period indicators, and WORM-storage metadata required by 17 CFR §240.17a-4(f) are explicitly excluded from pseudonymization so the regulatory chain of custody is not disrupted.

Can the tool process electronic communications subject to 17a-4 alongside trade records?

Yes. Email, instant-message archives, and order-management-system exports can all be processed in the same batch. The engine assigns consistent pseudonyms across document types so the same customer is pseudonymized identically across correspondence and trade records.

Is pseudonymized output acceptable for production to an SEC examination team?

That depends on the scope of the examination request. If the examiner requires customer-identified records, you would re-identify before production. If the examiner is reviewing trading patterns or compliance procedures rather than specific customer accounts, pseudonymized output may be appropriate — confirm with your compliance counsel before producing.

Does this workflow cover records for both introducing and clearing brokers?

Yes. The workflow applies to records held by introducing brokers, clearing brokers, and prime brokers alike. Upload the records from your record-preservation system regardless of your firm's clearing arrangement.

Securities & Corporate Disclosure

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.