Anonymize earnings release drafts for pre-announcement review – CCPA/HIPAA-compliant de-identification per 17 CFR §243.100

Earnings releases furnished as 8-K exhibits contain forward-looking statements and non-GAAP metrics that, in draft form, constitute material non-public information subject to Reg FD at 17 CFR §243.100. These drafts identify named executives providing quotes and may reference named customers or partners. anonym.legal pseudonymizes those identifiers so draft earnings releases can circulate for pre-announcement review without triggering Reg FD concerns.

When this applies

Apply this workflow when draft earnings releases, earnings call scripts, or investor-day presentation materials are circulated to investor-relations advisers, public-relations firms, or external reviewers before the public announcement date where the specific named individuals are not required by the reviewer.

  1. Upload draft earnings releases, earnings call scripts, or investor-day presentations in PDF or DOCX format.
  2. The engine identifies named executives quoted in the release, named customers or partners referenced in business-performance commentary, and any individual identified in supplemental data packages.
  3. Each named individual and entity is pseudonymized consistently across the press release body, supplemental financial tables, and call script.
  4. Revenue figures, non-GAAP metrics, guidance ranges, and operational statistics are retained as structural content for review.
  5. Reg FD §243.100 citation references in counsel review memoranda are preserved verbatim.
  6. The reversible mapping is stored encrypted for re-identification before the earnings release is issued publicly.
  7. The pseudonymized draft is exported for pre-announcement review by advisers.

What you provide

  • Draft earnings release and supplemental financial data package in PDF or DOCX format
  • Earnings call script or prepared remarks in DOCX format
  • Scope instruction identifying named executives and any named third parties to pseudonymize

Limitations & cautions

  • anonym.legal does not assess whether the earnings release satisfies Regulation G requirements for non-GAAP financial measures or whether the simultaneous-disclosure obligation of Reg FD §243.100 has been satisfied; those determinations require securities counsel.
  • Pseudonymizing named executive quotes in an earnings release draft is a review tool; the final issued release must contain the actual executive's name as attributed.
  • Forward-looking statements containing projections unique to a specific company's business may retain indirect company-level identifiability that does not implicate personal data.
  • The tool does not furnish the 8-K exhibit or press release to the SEC or any wire service.

FAQ

Can this workflow pseudonymize CEO and CFO quotes in the press release body?

Yes. Named executive quotes are pseudonymized at the individual level while the substantive content of the quoted remarks — financial commentary, strategic rationale, guidance discussion — is preserved for review.

Will non-GAAP reconciliation tables be preserved after pseudonymization?

Yes. Non-GAAP reconciliation schedules and supplemental financial tables are non-personal structural content and are preserved in plain text; only named individual references are pseudonymized.

Is this workflow relevant for quiet-period communications to investor-relations firms?

Yes. Pre-announcement drafts circulated to investor-relations agencies during a quiet period involve material non-public information. Pseudonymizing the specific named parties in the draft limits the scope of individually identified MNPI circulated to external parties.

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.