Anonymize insider trading policy disclosures for governance review – CCPA/HIPAA-compliant de-identification per 17 CFR §229.408

Reg S-K §229.408, adopted in 2023, requires public companies to disclose whether they have insider trading policies and to describe or file those policies as exhibits. Policy documents identify covered persons — officers, directors, employees, and their household members — by name or role title linked to identifiable individuals. anonym.legal pseudonymizes those references for governance advisory and compliance reviews.

When this applies

Apply this workflow when insider trading policy documents, pre-clearance logs, or §229.408 disclosure drafts are shared with outside governance advisers, compliance consultants, or audit-committee members where individual identification is not required by the reviewer.

  1. Upload the insider trading policy document and any associated pre-clearance request logs or blackout-period communications in PDF or DOCX format.
  2. The engine identifies named covered persons, pre-clearance requestors, and any individuals identified in policy-violation summaries.
  3. Each named individual is pseudonymized consistently across the policy document and all associated logs.
  4. Policy provisions, blackout-period schedules, and pre-clearance procedures are retained as structural content for governance review.
  5. Role-title references that are not linked to specific named individuals are preserved in plain text.
  6. The reversible mapping is stored encrypted with US data residency.
  7. The pseudonymized policy package is exported for governance adviser review.

What you provide

  • Insider trading policy document in PDF or DOCX format
  • Pre-clearance request logs or blackout-period notification records in CSV or DOCX format
  • Any policy-violation summaries that identify individuals

Limitations & cautions

  • anonym.legal does not assess whether a company's insider trading policy satisfies the disclosure requirements of Reg S-K §229.408 or the SEC's 2023 adopting release; that determination requires securities counsel.
  • Pre-clearance logs that show trade timing and security identifiers alongside pseudonymized names may still enable inference about individual trading activity in thin insider populations.
  • The tool does not file the policy as an exhibit to the Form 10-K or proxy; document preparation remains the responsibility of the issuer's legal team.
  • Policy-violation summaries referencing disciplinary outcomes may carry additional employment-law privacy considerations not addressed by this workflow.

FAQ

Does this workflow cover both the written policy and the Section 16 compliance certification?

Yes. The insider trading policy document and any associated officer certification or compliance acknowledgment forms can be processed together, with consistent pseudonymization of named individuals across all documents.

Can pre-clearance logs be pseudonymized for internal compliance audit purposes?

Yes. Pre-clearance request logs identifying employees, their role titles, and requested trade details can be pseudonymized at the individual level while retaining the trade data needed for compliance-pattern analysis.

Is this workflow relevant for companies adopting a 10b5-1 plan policy?

Yes. Companies that include 10b5-1 plan adoption, modification, and termination disclosure requirements in their insider trading policy can pseudonymize the plan-related sections and associated officer names when sharing drafts with advisers.

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.
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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.