Anonymize private placement memoranda for due diligence and fund review – CCPA/HIPAA-compliant de-identification per 15 USC §77d

Securities Act §77d exempts certain private placements from the §77e registration requirement, enabling issuers to circulate private placement memoranda to accredited investors. PPMs identify named founders, key personnel, and existing investors whose identities constitute sensitive personal and commercial data. anonym.legal pseudonymizes those references so PPM drafts can be reviewed by due-diligence counsel and fund administrators without premature investor disclosure.

When this applies

Apply this workflow when private placement memoranda, subscription agreement templates, or side-letter packages are shared with fund administrators, compliance reviewers, or secondary-market due-diligence teams where the specific named individuals or investors are not required by the reviewer.

  1. Upload the private placement memorandum, offering circular, or subscription agreement package in PDF or DOCX format.
  2. The engine identifies named founders, managing partners, key personnel, and existing investor names disclosed in the offering materials.
  3. Each named individual and affiliated entity is pseudonymized consistently across the PPM, term sheet, and subscription agreement.
  4. Investment thesis, strategy description, fee terms, and risk disclosures are retained as structural content.
  5. Track record data referencing prior funds by name is pseudonymized at the named-fund level if requested.
  6. The reversible mapping is stored encrypted with US data residency.
  7. The pseudonymized offering package is exported for due-diligence and fund-administration review.

What you provide

  • Private placement memorandum and all exhibits in PDF or DOCX format
  • Subscription agreement and investor questionnaire templates
  • Scope instruction identifying whether prior-fund track record names should be pseudonymized

Limitations & cautions

  • anonym.legal does not assess whether the offering satisfies any Securities Act §77d exemption (Rule 506(b), Rule 506(c), Regulation A, etc.); that determination requires securities counsel.
  • PPMs shared with potential investors remain subject to anti-fraud provisions under Securities Act §77q regardless of pseudonymization status; pseudonymization is a review tool, not a legal protection.
  • Highly specific fund-strategy descriptions may retain indirect identifiability of a named manager even after direct-name pseudonymization.
  • The tool does not prepare Form D filings or manage investor accreditation verification.

FAQ

Can this workflow pseudonymize named existing investors in the PPM's cap table section?

Yes. Cap table exhibits identifying existing investors by name and ownership percentage are processed at the individual and entity level with consistent pseudonym assignments.

Will risk disclosures and investment strategy sections be preserved intact?

Yes. Investment strategy, risk factors, and fee structures are non-personal structural content and are preserved in plain text. Only named individual and entity references are pseudonymized.

Is this workflow suitable for venture capital and private equity fund PPMs?

Yes. The workflow applies to VC, PE, hedge fund, and real estate fund offering materials alike. The pseudonymization logic is document-agnostic and handles any confidential-offering memorandum format.

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.