The same model. With a source instead of a guess.
General AI guesses – and can’t say where a statement comes from. c:node gives the same model your documents and the c:node Graph. Every statement is checked at its source before you see it.
On its own, the model answers generically – without a source.
A model on its own only knows its training data: no contracts, no current law, no registers. It answers generically – and sounds confident doing so.
With c:node, you get findings on your case.
Now the same model reads your contracts and applicable law. The answer names which contracts are affected, why, and with which citation.
c:node checks every statement at its source.
Before you see the answer, c:node breaks it down into individual statements. Each one is checked against its source. Anything not evidenced is marked as open.
If the evidence is missing, c:node would rather say “I don’t know”.
Instead of inventing a plausible number, c:node says the evidence is missing – and which document would provide it.
Less context makes every answer cheaper.
c:node gives the model only the relevant evidence instead of entire folders. That makes an evidenced answer up to 24× cheaper.
- Cloud contract “Hosting Nord” blocks switching provider for 24 months
- Maintenance contract: machine data belongs to the manufacturer only
- Two software service providers without a data processing agreement
- Rules on data access
- Switching clauses with cloud providers
- Fair contract terms
- Rules on data access
- Switching clauses with cloud providers
- Fair contract terms