The sources behind the answers
The assistant searches only the platform's own register. Every layer has a published address, an official source and a read date, so an answer can always be traced back to the row it rests on.
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
The layers in the register
- Swedish law: 52 acts with reference number, legal area and entry into force.
- Case law: 13 437 rulings from 18 courts, with case number and legal question.
- EU law: 32 acts and 1 798 article rows at article level.
- US law: 72 rule sets, plus rulings in the dedicated judgment register.
- Supervision: 22 authorities with remit and source.
How the register stays fresh
- Every layer carries its own read date, never a build date. A changed date means the row was actually re-read.
- The change journal accounts for the day's published changes, row by row, at its own address.
- The freshness figure shows how close each layer is to a re-read.
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/kallor?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/kallor
- Layer
- index
- Read at
- 2026-08-31
- Freshness
- 87/100
- Checksum
- d46b061dba9a151f
- 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/kallor, read 2026-08-31, checksum d46b061dba9a151f, corpus version legal-2026-10-07, license https://legal.exploreworldai.com/revision
- Owner
- Valkiv Ventures AB
- License
- https://legal.exploreworldai.com/revision
- Checksum
- d46b061dba9a151f
- Fingerprint
- ewai:eu:25a5ae
- 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
- Where do the rows come from?
- From the platform's own registers, which in turn point at the official source: the statute book, the courts' rulings and the EU legal act register.
- How do I know how old an entry is?
- Every row carries the read date of its layer, and the change journal shows what was re-read most recently.
Next step
Three ways to put the register to work in your own practice.
Start with your task
Litigation
Find support in a judgment
Search guiding decisions, see what became final and follow changes in the law.
In-house, deals
Map the rules in a transaction
Move from theme to act and on to the article that carries the duty.
Compliance
Assess the risk in a process
Risk scoring per legal area, with the sources behind every score.