anonym.legal
Recht & Kanzleien

Mietrecht

Mietrecht ist das im Bürgerlichen Gesetzbuch (BGB, §§ 535 ff.) geregelte Teilgebiet des deutschen Schuldrechts, das die Rechte und Pflichten von Vermietern und Mietern bei der entgeltlichen Überlassung von Wohn- und Gewerberäumen bestimmt. Mietrechtliche Vorgänge — von der Eigenbedarfskündigung über die Betriebskostenabrechnung bis zur Räumungsklage — verarbeiten umfangreiche Personendaten von Mietern und Vermietern. anonym.legal pseudonymisiert diese Personendaten reversibel und DSGVO-konform, damit Kanzleien, Hausverwaltungen und Vermieter Schreiben, Verträge und Abrechnungen aufbereiten, teilen und als Muster nutzen können, ohne die Identität der Beteiligten unnötig offenzulegen.

En cifras

Cuándo no se aplica

  • anonym.legal anonymisiert die personenbezogenen Daten in mietrechtlichen Unterlagen, prüft aber nicht die formale oder inhaltliche Wirksamkeit einer Kündigung, eines Mieterhöhungsverlangens oder einer Betriebskostenabrechnung — diese Beurteilung obliegt dem beauftragten Anwalt.
  • Nicht anwendbar, wenn Mietverträge, Wohnungsübergabeprotokolle oder Abrechnungen ausschließlich in handschriftlicher oder nicht maschinenlesbarer Form vorliegen.
  • Bei Verfahren mit mehreren Parteien (z. B. Wohnungseigentumsgemeinschaften mit vielen Mitgliedern) ist eine manuelle Nachkontrolle der konsistenten Pseudonymzuordnung über alle Schriftsätze hinweg empfohlen.

Tareas

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, held by our hosting provider.
  • 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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

Hetzner holds 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

Automated checks run on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We test detection against sample documents before each release.

A failing unit or integration run stops the release.

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.

Paid plans can buy top-up credits.

Credits reset at the end of each cycle.

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.