Most legal AI puts a language model in charge of everything, including what it's worst at. Yunaki is built the other way around.
Poverty guidelines are a table. A means test is arithmetic. A form edition is a version string. A rules engine gets these wrong 0% of the time, by construction.
76% of the immigration bar avoids AI over hallucination fears. Here, that failure is structurally impossible.
Rules change? We update a versioned playbook the same day. No retraining, no guessing.
Every filing and outcome becomes structured, queryable memory. The next similar case starts from your best prior work. It can't be ported to a competitor.
One master record per client. Every field on every form is cross-checked against it before filing. "123 Main St" vs. "123 Main Street" gets flagged, not filed.
Each form gets a versioned playbook: current edition, fees, evidence checklist, known triggers. Stale editions are impossible. The edition is data, not model weights.
Every package is scored against known rejection patterns before filing. A risk score plus a specific fix list, while fixing is still cheap.
UPL boundaries are hard-coded, not prompted. The system fills, validates, and flags. It never advises.
sources: SSA FY2025 · KFF & Medviz 2023 · USCIS 2024-25. wrong fee, wrong edition, blank field, mismatched dates: all checkable before filing.
Send one anonymized package. We'll show you what pre-flight would have caught. No commitment.