RITA reads the record, reasons through it like a colleague who's read every page, and shows her work — citing every finding back to the source instead of guessing.
Every RITA report is built on a simple rule: if it's not documented, she says so — instead of guessing.
Conclusions drawn from the record, not a summary or a search.
Every finding is cited back to its exact page in the record.
Abstains — "not in the record" — instead of guessing.
Deviation of care measured against the standards you upload.
Billing analysis computed from the charge lines, not estimated.
RITA runs locally — on your own infrastructure or within our closed-loop system — so your case files never leave a network you control.
A portable, de-identified version of a case that drops into any AI assistant your firm already uses — on a laptop, a monitor, or your phone. Ask it anything, out loud or typed, the second you need it.
From first merit screen to expert rebuttal, RITA covers the full lifecycle of a case.
Every sample above is a real RITA-generated report from a synthetic demo case — built to be shown, not staged.
Hover the dot on each page below. These are real excerpts from the sample packet — not cherry-picked wins. Some flag a problem, one confirms a clean record. That's the point.
When the underlying data is provisional, the report is marked "QA Fail — Provisional" instead of presenting it as settled fact.
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Every scored finding comes with the plain-language boundary of what it is and isn't proof of.
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She'll draft the scaffolding, but she tells you plainly when it's a placeholder, not a rebuttal.
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Conflicting mechanism-of-injury accounts get called out explicitly, not smoothed over into one clean story.
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The honesty cuts both ways: this one passed every QA check, and the report says so just as plainly.
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The suggested range is deterministic scaffolding, not a legal opinion — and the letter says so in plain English.
View full report →Send the records, typically a 24-hour turnaround — request a demo or account and see exactly what she does on a case that matters to you.
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