Legal sources with official primary sources

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For data protection officers

Data protection work lives in the detail. The assistant goes straight to the article, shows the recitals that interpret it and the decisions that tested it, and every row carries an address you can cite in your own material.

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NovaCopilot · ExploreWorld Legal

European and Nordic law as verifiable data, with source, reading date and checksum on every row.

Publisher
NovaCopilot, ExploreWorld Legal
Corpus version
legal-2026-10-07
Read at
2026-08-31
Freshness
87/100

What it does in your work

  • Fetches the GDPR article by number or by subject, with the heading exactly as written.
  • Shows the recitals regularly read alongside the article, with one line on what they add.
  • Links the article to judgments and supervisory decisions that tested it.
  • Shows how the article connects to neighbouring regimes: the AI Act, NIS2, data governance.

What it never does

  • It does not run an impact assessment for you and fills in no template.
  • It takes no position on whether a specific processing operation is lawful.
  • It never hands out article text it has not read from the official source.

Typical assignments

  • Preparing an impact assessment: which articles govern and what the recitals add.
  • Checking a supplier's processor agreement against Article 28.
  • Watching what changed in the data protection layer since the last review.

The NovaCopilot models

The decision model

In: A role, a legal act and the situation in plain words.

Out: The obligations that reach the role, the article behind them and what remains.

When: When the question is whether a requirement applies to you, and why.

The difference model

In: A checksum already used and the date of the last reading.

Out: What changed since then: checksum, reading date, passed deadline and rows to revisit.

When: When earlier work is reused and has to be checked first.

The obligation model

In: A legal act or an article, with or without a role filter.

Out: The obligation in the register's wording, the role it reaches, canonical address and reading date.

When: When the answer has to be citable article by article.

Example for an agent

curl -s "https://legal.exploreworldai.com/novacopilot/for-dataskyddsombud?format=agent"
  • canonical, the address to cite
  • node_hash, the checksum for the next comparison
  • corpus_version, the corpus version that answered
  • freshness.read_at, the reading date of the row
  • freshness.next_check, when a new check is reasonable
  • citation.string, the finished citation
  • agent.receipt, the receipt of the call, without a key

Metadata

Canonical address
https://legal.exploreworldai.com/novacopilot/for-dataskyddsombud
Layer
index
Read at
2026-08-31
Freshness
87/100
Checksum
4813a19d94b45678
Corpus version
legal-2026-10-07
Next check
-
License
https://legal.exploreworldai.com/revision

How to cite this page

NovaCopilot (ExploreWorld Legal, Valkiv Ventures AB), https://legal.exploreworldai.com/novacopilot/for-dataskyddsombud, read 2026-08-31, checksum 4813a19d94b45678, corpus version legal-2026-10-07, license https://legal.exploreworldai.com/revision

Owner
Valkiv Ventures AB
License
https://legal.exploreworldai.com/revision
Checksum
4813a19d94b45678
Fingerprint
ewai:eu:17f433
Terms
Use, cite, index and cache. The register as such is not resold.

Source registers

The same material as registers, with read date and source on every row.

FAQ

Do I get the full article text?
The page shows heading, recitals and connections freely. Full body text comes from the official source the node points to, or from the priced machine surface.
Are the recitals available as data?
Yes. Recital number, the article it interprets and the reading note are an open machine surface, free and without a key.
Are my questions logged?
The text of your question never leaves your device. Only the fact that a question was asked is counted, for operational statistics.

Next step

Three ways to put the register to work in your own practice.

Start with your task