when families appeal a denied insurance claim for their child, they win most of the time. almost no one appeals — the letters are too hard to write. we're teaching machines to write them, and testing every step in the open.
our biggest problem: AI invents laws that don't exist. it cited fake law in 47 of 50 appeals. our architecture cut that to zero on one lane, and pushed recall from 74% to 93% on another — now a model 1/10 the cost reaches 87%. the system matters more than the model. every number below links to the raw evidence.
we test the same legal work on three very different machines, to learn what intelligence is actually required — and what we can verify regardless of who wrote it.