Anonymize risk-factors section drafts for pre-filing review – CCPA/HIPAA-compliant de-identification per 17 CFR §229.503

Reg S-K §229.503 requires registrants to disclose the material risks that make an investment speculative or risky, and those risk factors often reference named customers, suppliers, joint-venture partners, and key personnel whose departure or default is a risk driver. anonym.legal pseudonymizes those named references so draft risk-factor sections can circulate broadly for review without distributing sensitive counterparty or individual names.

When this applies

Apply this workflow when draft risk-factor sections for 10-K, 10-Q, S-1, or other SEC filings need to be reviewed by investor-relations teams, underwriters, or outside counsel where the specific named counterparties or individuals referenced are not required by the reviewer.

  1. Upload the draft risk-factors section in PDF or DOCX format to anonym.legal.
  2. The engine scans the text for named counterparties, customers, suppliers, joint-venture partners, government agencies, and named key personnel referenced as risk drivers.
  3. Each named entity or individual is pseudonymized consistently throughout the risk-factors section.
  4. Risk-factor headings, generic business descriptions, and statistical data are retained as non-personal structural content.
  5. Where the same counterparty appears in multiple risk factors, consistent pseudonymization preserves the analytical connection between related risk disclosures.
  6. The reversible mapping is stored encrypted for re-identification when the final filing document is prepared.
  7. The pseudonymized risk-factors section is exported for team review.

What you provide

  • Draft risk-factors section in PDF or DOCX format
  • Scope instruction identifying categories of named parties to pseudonymize (e.g., customers, key personnel, government agencies)
  • Any prior-period risk-factors text for consistency of pseudonym assignments across filing periods

Limitations & cautions

  • anonym.legal does not assess whether disclosed risk factors satisfy the specificity or materiality requirements of Reg S-K §229.503; that determination requires securities counsel.
  • Risk factors describing unique business arrangements may retain indirect identifiability of a counterparty even after direct-name pseudonymization.
  • Generic industry risk factors that do not name specific parties are not modified, as they contain no personal or counterparty data.
  • The tool does not assess whether the risk-factors section adequately discloses ESG, cybersecurity, or climate-related risks under evolving SEC guidance.

FAQ

Can key-person risk factors referencing named executives be pseudonymized?

Yes. Risk factors disclosing dependence on specific named executives or founders are pseudonymized at the individual level, allowing investor-relations teams to review the business-risk framing without distributing those individuals' names to all reviewers.

Will percentage figures and statistical data in risk factors be preserved?

Yes. Revenue concentration percentages, market-share data, and industry statistics are non-personal structural content and are preserved in plain text after pseudonymization of named counterparties.

Is this workflow available for S-1 registration statement risk-factors sections?

Yes. The same workflow applies to risk-factors sections in registration statements including S-1, S-3, S-11, and other SEC registration forms. Use the registration-statement-anonymization task for a workflow covering the full registration statement.

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.