For teams building AI
The AI Act reaches the product, not the department. The assistant shows how the classification is built, which articles come with each class, and what a disclosure looks like when it has to hold up under review.
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-2026-10-08
- Read at
- 2026-08-31
- Freshness
- 86/100
From product to duty
- Risk classification as its own flow, with the article behind each step visible.
- The system card as a template: what is built, what never happens, where the limit sits.
- Transparency duties separately, for systems that speak directly to users.
- US rules in parallel, for teams shipping into both markets.
How we do it ourselves
- NovaCopilot has its own published system card at a fixed address.
- Answers are deterministic: the same question returns the same rows, with a hash.
- No training happens on the questions, and question text never leaves the device for the journal.
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-ai-team?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-ai-team
- Layer
- index
- Read at
- 2026-08-31
- Freshness
- 86/100
- Checksum
- f30531e9392cd070
- Corpus version
- legal-2026-10-08
- 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-ai-team, read 2026-08-31, checksum f30531e9392cd070, corpus version legal-2026-10-08, license https://legal.exploreworldai.com/revision
- Owner
- Valkiv Ventures AB
- License
- https://legal.exploreworldai.com/revision
- Checksum
- f30531e9392cd070
- Fingerprint
- ewai:eu:66f2ea
- 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
- Does it give a finished classification of our product?
- No. It shows how the regulation classifies and which articles apply per class. The conclusion about your product is yours, ideally with legal support.
- Can we copy your system card as a template?
- Read it as a model by all means. The content has to describe your own system, otherwise it will not hold up.
- Are the duties available machine-readable?
- Yes, the same nodes exist on the machine surface with hash and provenance, so your own system can fetch them.
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.