Anonymize proxy statement drafts for compensation committee review – CCPA/HIPAA-compliant de-identification per 15 USC §78n

Proxy statements filed under Exchange Act §78n and Reg S-K §229.402 identify every named executive officer, each director, and significant beneficial owners, pairing those identities with detailed compensation, stock-ownership, and related-party transaction data. anonym.legal pseudonymizes these identifiers so draft proxy materials can be reviewed by advisers and committees without prematurely disclosing named-individual pay data.

When this applies

Use this workflow when draft proxy statement sections — executive compensation tables, director-independence analyses, or related-party transaction disclosures — must be shared with compensation consultants, outside counsel, or governance advisers before the document is finalized and filed.

  1. Upload the draft proxy statement in PDF or DOCX format to anonym.legal.
  2. The engine identifies the named executive officers (NEOs) in all Reg S-K §229.402 compensation tables, director nominees in the election proposal, and named related-party counterparties under §229.404.
  3. Each named individual is pseudonymized consistently across all proxy sections — compensation tables, director biographies, beneficial-ownership table, and related-party disclosures.
  4. Aggregate pay figures, equity plan share totals, and vote recommendations are retained as structural content.
  5. Section 16 insider ownership data referencing named individuals (§229.405 compliance) is pseudonymized at the individual level while preserving percentage ownership figures.
  6. The reversible mapping is stored encrypted; re-identification is available before the definitive proxy is filed with the SEC.
  7. The pseudonymized proxy draft is exported for distribution to the compensation committee, governance advisers, and outside counsel.

What you provide

  • Draft proxy statement in PDF or DOCX format
  • Any supporting compensation-data schedules used to populate the Summary Compensation Table
  • Prior-year proxy for cross-year consistency of pseudonym assignments

Limitations & cautions

  • anonym.legal does not assess the adequacy of executive-compensation disclosures under Reg S-K §229.402 or the say-on-pay proposal; those determinations require compensation counsel.
  • Proxy statements that incorporate the 10-K by reference require the annual report to be uploaded separately for consistent pseudonymization across the combined disclosure package.
  • Beneficial-ownership percentages derived from share counts linked to named individuals may still allow indirect re-identification if share counts are highly specific.
  • The tool does not prepare or submit Schedule 14A or 14C filings; it processes draft documents only.

FAQ

Can the tool pseudonymize individual compensation rows while preserving aggregate plan totals?

Yes. The Summary Compensation Table rows linked to named executives are pseudonymized at the individual level, while aggregate totals, plan-level figures, and non-personal footnotes are preserved in plain text.

Will director biographies and committee memberships be handled correctly?

Yes. Director biographies naming individual directors are pseudonymized while retaining committee assignments, independence designations, and tenure data — information used by governance advisers without requiring individual identification.

Is this workflow suitable for ISS or Glass Lewis pre-review submissions?

Confirm with your proxy advisory firm whether they accept pseudonymized drafts for engagement purposes. The workflow produces a fully structured proxy in the original format, with only named-individual fields replaced.

Can the workflow handle foreign private issuers filing on Form 20-F?

Yes. The same pseudonymization logic applies to 20-F annual reports and their incorporated compensation disclosures. Use the foreign-private-issuer-20-f-anonymization task for a workflow tailored to 20-F structure.

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.