anonym.legal

By · Last updated 2026-04-22

Nazaj na blogPravna tehnologija

Reverzibilna sifriranjeRazkrivanje za pravno odkrivanje

Dokumente ste anonimizirali. Sodnik je zahteval originale. Kaj zdaj? Globe GDPR so leta 2024 dosegale 1,2 milijarde EUR - rekordno leto.

April 22, 20269 min branja
legal discovery reversible encryptionpermanent redaction liabilitye-discovery original documentsspoliation sanctionsprivilege log documentation

Dve dolznosti, ki se zdita neskladni

Pravne ekipe hkrati nosijo dve dolznosti.

Prva: deliti maskirane datoteke z zunanjim svetovalcem, so-svetovalci in strokovnjaki. Imena strank in osebni podatki tretjih oseb morajo ostati skriti.

Druga: predloziti originalne zapise, ko to odredi sodisce. Zvezna pravila civilnega postopka firmam ne dovoljujejo spreminjanja teh datotek.

V teoriji sta obe dolznosti zdruzljivi. Originale shranite pri sebi. Zunaj delite maskirane kopije.

V praksi mnoga podjetja to zagresi narobe. Uporabljajo orodja za trdno brisanje, ki izbrisejo izvorne podatke. Kopija, ki jo obdrzijo, je sama po sebi ze predelana. Cist original ne obstaja. Ko pride sodna odredba, nimajo nicesar za predajo.

Tveganje unicevanaja dokazov

Nepredlozitev zahtevanih zapisov ima ime: unicevanje dokazov (spoliation).

Sodisca ga lahko kaznujejo na vec nacinov. Lahko izdajo sklepe o negativnih sklepih. Lahko prepovejo dokaze. V hujsih primerih lahko zavrnejo trditev ali izdajo zamudno sodbo.

Anketa Bloomberg Law iz leta 2025 je ugotovila, da 73 % pravnih firm uporablja orodja UI brez sledenja, kam konca PII. Ista slepa pega se verjetno razsirja na orodja za trdno brisanje. Podjetja maskira podatke brez moznosti vrnitve.

Globe GDPR so leta 2024 dosegale 1,2 milijarde EUR. Strosek napacne odlocitve pri ravnanju s podatki je resnicen.

Reverzibilna resitev

Odgovor je preprost. Namesto trdnega brisanja uporabite reverzibilno maskiranje.

Sifriranje AES-256-GCM je deterministicno. "Janez Novak" vsakic preslika na isti zeton - v celotni datoteki in med sorodnimi datotekami. Kljuc je shranjen loceno od datoteke.

Delite maskirano datoteko. Ce sodisce zahteva originale, imetnik kljuca v minutah odsifrira in preda dokumente.

To prav tako izpolnjuje zahteve FRCP Pravila 26(b)(5), ki ureja privilege logs. Zahteva, da podjetja pokazejo, kaj je bilo zadrzano, kdaj, s strani koga in zakaj. Kriptografski dnevnik to tocno stori.

Poglejte, kako deluje sistem zetonov od zacetka do konca. Preberite nas pregled skladnosti, da vidite, kako postopek izpolnjuje sodne dolznosti.

Primer iz farmacevtske industrije

Farmacevtsko podjetje deli podatke klinicnih preskusanj s pogodbeno raziskovalno skupino (CRO).

ID-ji pacientov so maskirani, preden datoteke zapustijo podjetje. CRO opravlja delo na cistih podatkih. Ko FDA zahteva neobdelane zapise pacientov, ekipa za skladnost odsifrira in preda z izcrpno revizijsko sledjo.

Po reviziji rotacija kljucev konca dostop CRO - za preteklost in prihodnost. Nekdanje osebje CRO, ki odhodi po zakljucku, ne more doseci starih zapisov.

To je model dvojne skladnosti: zascita podatkov med delitvijo, obnova, ko to zahtevajo sodisca ali regulatorji.

Za vec informacij o tem, kako to ustreza vasemu delu, si oglejte nas pregled zascite.

Viri

Ste pripravljeni zaščititi svoje podatke?

Začnite z anonimizacijo PII z več kot 285 tipi entitet v 48 jezikih.

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.