Anonymize Reg FD investigation materials for compliance and legal review – CCPA/HIPAA-compliant de-identification per 17 CFR §243.100

Regulation FD at 17 CFR §243.100 prohibits public companies from selectively disclosing material non-public information to certain market participants without simultaneous public disclosure. Internal investigations into potential Reg FD violations identify employees who made disclosures, investors who received them, and executives who authorized them. anonym.legal pseudonymizes those identities for legal and compliance review.

When this applies

Apply this workflow when Reg FD investigation files — including email chains, call transcripts, investor-relations logs, and witness interview summaries — are reviewed by outside counsel, the audit committee, or SEC enforcement staff where individual identities are not required at an early review stage.

  1. Upload Reg FD investigation materials — email chains, analyst-call transcripts, investor-relations contact logs, and witness interview summaries — in PDF, DOCX, or MSG format.
  2. The engine identifies named company employees, investor-relations officers, named analysts, and named investors in all materials.
  3. Each named individual and affiliated institution is pseudonymized consistently across all documents in the investigation set.
  4. Communication timestamps, security price data, and non-public-information content descriptions are retained as structural content for materiality analysis.
  5. Reg FD §243.100 and §243.101 citation references in counsel memoranda are preserved verbatim.
  6. The reversible mapping is stored encrypted for re-identification when the investigation requires individual-level attribution.
  7. The pseudonymized investigation package is exported for counsel and audit-committee review.

What you provide

  • Email chains, analyst-call transcripts, and investor-relations logs in PDF, DOCX, or MSG format
  • Witness interview summaries or investigation memoranda in DOCX format
  • Scope instruction identifying whether buy-side analyst firm names should also be pseudonymized

Limitations & cautions

  • anonym.legal does not assess whether a disclosure event constitutes a Reg FD violation under §243.100 or whether an exemption under §243.100(b) applies; those determinations require securities counsel.
  • Email chains with extensive quoted text may partially re-identify individuals through email addresses in headers even after name pseudonymization; header metadata should be reviewed separately.
  • Analyst-call transcripts referencing publicly identifiable questions from named buy-side firms may retain indirect identifiability of the questioner.
  • The tool does not assess attorney-client privilege or work-product protection for any investigation document.

FAQ

Can this workflow pseudonymize both the company employee who made the disclosure and the investor who received it?

Yes. Both the disclosing employee and the receiving investor (and their affiliated institution) are pseudonymized consistently across all documents in the investigation set.

Will call timestamps and security price data be preserved for materiality analysis?

Yes. Communication timestamps and any associated market-price data are structural content retained in plain text; only the named individuals and institutions are pseudonymized.

Is this workflow suitable for pre-Wells-submission disclosure to SEC staff?

Confirm with your securities litigation counsel before producing pseudonymized materials to SEC enforcement staff. In formal investigation contexts, the SEC typically requires identified records; pseudonymized materials are most appropriate for internal review stages preceding any formal production.

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.