Anonymize union grievance files for labor relations analysis and arbitration prep – CCPA/HIPAA-compliant de-identification per NLRA §158

Union grievances filed under collective bargaining agreements invoke NLRA §158 unfair-labor-practice frameworks and identify grievants, supervisors, and shop stewards by name. anonym.legal pseudonymizes all party identifiers in grievance files so labor relations teams and outside counsel can analyze grievance patterns and prepare for arbitration without exposing individual employee data.

When this applies

Apply this workflow when grievance files must be shared with labor arbitrators in pre-hearing preparation, analyzed for systemic bargaining-unit treatment patterns, or reviewed by labor counsel for NLRA compliance auditing.

  1. Upload grievance forms, Step 1–Step 3 response letters, and any related arbitration notices to anonym.legal.
  2. The engine identifies and separately pseudonymizes the grievant, the accused supervisor, and any named shop stewards or union representatives.
  3. Consistent role labels are applied across all grievance-step documents so the procedural sequence remains coherent.
  4. Contract article references, grievance dates, and management-response decisions are retained as structural content for arbitration preparation.
  5. The pseudonymized grievance file is exported for labor counsel review or arbitrator pre-hearing briefing.
  6. A reversible mapping key is stored for re-identification if individual witnesses must be identified for arbitration testimony.

What you provide

  • Grievance forms and step-response correspondence in PDF or DOCX format
  • Related arbitration demand notices and preliminary hearing submissions
  • CBA article references identifying the contractual provision in dispute

Limitations & cautions

  • anonym.legal does not assess whether the grieved conduct constitutes an NLRA §158 unfair labor practice; that determination requires labor counsel review.
  • Pseudonymization of grievance files does not affect the union's NLRA §157 right to represent the grievant or the employer's obligation to provide relevant information under the duty-to-bargain provisions.
  • Arbitration submission requirements vary by CBA; confirm whether pseudonymized exhibits are permissible before including them in arbitration filings.
  • State public-sector labor relations statutes may differ from NLRA requirements and are not addressed by this workflow.

FAQ

Can grievances from multiple bargaining units be pseudonymized together for pattern analysis?

Yes. Batch processing allows labor relations teams to pseudonymize grievance files across multiple bargaining units simultaneously, enabling systemic analysis of grievance rates and management-response patterns without exposing individual grievant identities.

Will CBA article citations and management-response rationale be preserved?

Yes. Contract article references and management-response reasoning are treated as structural content and are retained verbatim. Only personal identifiers — names and employee IDs — are pseudonymized.

Is this workflow appropriate for preparing arbitration exhibits?

Pseudonymized documents can be used for pre-hearing case preparation and internal counsel review. Before submitting pseudonymized exhibits in an actual arbitration proceeding, confirm with the arbitrator and opposing counsel that pseudonymized forms are acceptable under the applicable CBA and arbitration rules.

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.