By · Last updated 2026-04-07

IRB-Compliant Anonymization

Research Data Sharing Without Privacy Risks

Share participant data safely across institutions and publications. anonym.legal's reversible encryption enables longitudinal re-identification when ethically approved, while maintaining HIPAA Safe Harbor compliance for de-identified datasets.

285+
Entity types detected
100%
Reversible when approved
18
HIPAA identifiers covered

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    Research Applications

    From clinical trials to social science surveys, anonym.legal supports the full research data lifecycle.

    Data Sharing & Publication

    • De-identify datasets for open science repositories
    • Anonymize quotes and excerpts in publications
    • Safe cross-institution collaboration

    Longitudinal Studies

    • Reversible encryption for approved re-identification
    • Consistent hashing to link records across time points
    • Full audit trails for IRB documentation
    Unique Feature

    Reversible for Approved Re-identification

    Unlike permanent redaction, anonym.legal's reversible encryption lets you decrypt anonymized data when your IRB approves re-identification—essential for longitudinal research, follow-up studies, and data linking.

    • Follow-up Contacts: Re-identify participants for study continuation
    • Data Linking: Match anonymized records across datasets
    • IRB Documentation: Full audit trail for ethics compliance

    Research Workflow

    1

    Collect data with informed consent

    Store encryption key securely

    2

    Anonymize for analysis

    Work with de-identified data

    3

    Publish de-identified results

    Safe data sharing

    4

    Re-identify when IRB approves

    Follow-up studies, data linking

    Trusted by researchers

    HIPAA Safe Harbor
    Germany (EU) Hosted
    Reversible Encryption
    Full Audit Trail

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    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.

    Related reading

    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.