Legal sources with official primary sources

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From question to citable material

The answer is not the end point, it is the entrance. The workflow below is the same whether the question concerns a provision, a ruling or a duty under the AI Act.

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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

Four steps

  • 1. Ask in plain language, or paste a reference: act number, case number or article.
  • 2. Read the rows. Each carries a reference, a layer and a short summary from the register.
  • 3. Open the node. There you find the full text, the source and the layer's read date.
  • 4. Keep the address. It is fixed and works in a document, an email or a case system.

When the answer is not enough

  • Narrow to a layer: name the legal area or the jurisdiction in the same sentence.
  • Switch from plain language to a reference, or the other way, the search bridge understands both.
  • If the row is not in the register the assistant says so, rather than guessing.

In a team

  • Share the node, not the screenshot: the address holds when the text is updated.
  • The read date in the node shows which state of the rules a colleague actually read.
  • Questions that recur in a team often already exist as an answer node with its own address.

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/arbetsflode?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/arbetsflode
Layer
index
Read at
2026-08-31
Freshness
87/100
Checksum
c62d838399dc9aca
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/arbetsflode, read 2026-08-31, checksum c62d838399dc9aca, corpus version legal-2026-10-07, license https://legal.exploreworldai.com/revision

Owner
Valkiv Ventures AB
License
https://legal.exploreworldai.com/revision
Checksum
c62d838399dc9aca
Fingerprint
ewai:eu:4bc596
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

Can I ask in a language other than the page's?
Yes. The assistant searches the register in any of the four languages and answers in the language of the page.
Does it work offline?
Part of the index is downloaded to the device, so a simple lookup works even where coverage is poor.
How do I know I have everything?
Not from the answer alone. Open the layer and read the register, an answer is an entrance, not a guarantee of completeness.

Next step

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

Start with your task