Anonymize ADA accommodation requests for HR review and legal analysis – CCPA/HIPAA-compliant de-identification per ADA §12112

ADA Title I accommodation requests under 42 USC §12112 disclose disability-related information that constitutes sensitive personal data. anonym.legal pseudonymizes employee identifiers and medical details in accommodation correspondence so HR teams can conduct interactive-process reviews, benchmark accommodation decisions, or share records with outside counsel without exposing individual disability status.

When this applies

Apply this workflow when ADA accommodation files must be shared with employment attorneys for litigation support, reviewed by HR leadership for policy consistency, or provided to disability-management vendors for process auditing.

  1. Upload accommodation request letters, medical documentation, and interactive-process correspondence to anonym.legal.
  2. The engine identifies employee names, job titles, department identifiers, treating provider names, and disability-related narrative fields.
  3. Employee and provider identifiers are replaced with consistent pseudonyms throughout all related documents.
  4. Accommodation type, functional limitation description, and employer-response decisions are retained as structural content for ADA compliance analysis.
  5. Related correspondence — meeting notes, follow-up letters, and denial notices — is pseudonymized consistently so the interactive-process timeline remains coherent.
  6. A reversible mapping key is stored encrypted for re-identification when individual case follow-up is required.
  7. The pseudonymized file set is exported for attorney review, HR audit, or vendor submission.

What you provide

  • Accommodation request letters and medical certifications in PDF or DOCX format
  • Interactive-process meeting notes and follow-up correspondence
  • HR system records or case-management exports identifying the accommodation decision

Limitations & cautions

  • anonym.legal does not determine whether a requested accommodation is reasonable under ADA §12112; that legal determination requires attorney review.
  • Specific disability descriptions that uniquely identify an employee in a small work unit may not be fully de-identified through pseudonymization alone.
  • Rehabilitation Act obligations for federal contractors are related but distinct; this workflow is scoped to ADA Title I private-employer obligations.
  • State disability accommodation laws may impose broader obligations not captured by this federal-level workflow.

FAQ

Does pseudonymization affect the interactive-process timeline in the accommodation file?

No. Dates, meeting records, and decision milestones are treated as structural content and are preserved. Only personal identifiers — names, contact details, and SSNs — are pseudonymized, so the timeline remains fully legible for ADA compliance review.

Can accommodation files from multiple employees be pseudonymized together for policy benchmarking?

Yes. Batch processing assigns consistent pseudonyms within each employee's file while keeping each employee's records distinct, enabling HR leadership to benchmark accommodation-decision patterns across the workforce.

Will medical documentation attached to the accommodation request also be pseudonymized?

Yes. Medical certifications and physician letters attached to the accommodation request are processed as part of the same job, with provider names and patient identifiers consistently pseudonymized alongside the core request document.

Employment Law

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.