How it works
Left to itself, an AI writes the answer first and invents the citations later. JuriScripta won’t write a single sentence until it has the real opinions in hand, and it won’t hand you the draft until a rival AI from a different company has tried to tear it apart. Here’s the patent-pending process, step by step.
The run
Grounded — the opinion's text supports the claim.
Not supported — the case is real, but it does not say what the draft says it does. This is the error ordinary citation checkers never catch, and we do.
Could not verify — not enough of the opinion's text was available to decide. Reported as its own count, never folded into the grounded ones.
The totals always appear together. A score that hides how many claims were checked is easy to flatter.
If no real authority can be confirmed for a question, the run stops and tells you that. It does not compose a plausible answer around a citation that does not exist. A chatbot bluffs. JuriScripta doesn’t.
How we measure
Every brief already carries its own measurement: each claim, its verdict, and the counts, published with the draft. That is the figure that matters for the brief in front of you.
For the system as a whole, we built a 115-question benchmark on the question taxonomy Stanford researchers published for testing legal AI. We will publish results when a full run completes under a protocol written down and dated before it starts, stating what was counted and out of how many. Until then we would rather show you the method than quote a number from a partial run.
Stanford has not tested JuriScripta. The benchmark is our own work, following their published methodology.
The limits