The Algebra of Hallucination
Every legal AI platform on the market handles hallucinations the same way: they guess whether the output is correct, assign a confidence score, and hope for the best.
That is not verification. That is a coin flip with a decimal point.
Here is what we do differently, in plain language:
1. A hallucination is not a bug. It is a structural failure.
When an AI fabricates a citation, most systems try to catch it by asking another AI "does this look right?" That is like asking the person who wrote the bad check to verify the signature.
SATYA does not ask. SATYA checks the actual record. If a citation does not exist in the legal, medical, or academic record, the math proves it. Not "probably doesn't exist." Proves it. The result is binary: it exists or it doesn't. Signed and timestamped.
2. We only search for what is missing. Everyone else searches for everything.
Every AI retrieval system on the market searches for the entire query every time. 100 claims in a brief? 100 full searches. Regardless of whether 95 of them are already verified.
SATYA identifies exactly which claims lack support, then searches only for those. 5 gaps out of 100 claims means 5 searches, not 100. At enterprise scale, across millions of queries per day, that is the difference between a viable product and a cost center.
3. Every answer comes with a receipt.
Not a report. Not a confidence score. A cryptographic receipt: what was checked, what was found, what failed, when, and a signature that can be independently verified.
When a regulator asks "can you prove this was verified before it went out," a confidence score is an opinion. A signed receipt is evidence.
The bottom line for executives:
Your AI governance policy says "verify outputs." Your framework says "ensure accuracy." Your compliance team says "document everything."
None of them tell you HOW.
This is the how. It is mathematical. It is deterministic. It cannot allow a fabrication to pass through. And it produces the audit trail your legal team will need when the first AI-generated filing error reaches a courtroom.
The firms that verify first will tell their clients, courts, and insurers: nothing leaves this building without a receipt.
The firms that wait will explain to a judge why their AI policy didn't catch the fake citation.
invariant.pro/receipts
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