A counsel-supervised AI that lets a physician facing deposition rehearse being cross-examined — privately, repeatedly — with an anonymized readiness readout for your risk committee. No case facts stored. No IT lift. The deposition is where a defensible claim is won or lost.
You carry the indemnity and the defense cost on every claim — and the deposition is the pivot point. The tool only has to help prevent a small number of case-sinking depositions across a book to pay for itself.
Sources: standard MPL claims literature (PIAA/CRICO-class data), CPI-adjusted. Figures are industry benchmarks for context, not a guarantee of results for your book.
A privacy-preserving cohort readout — never an individual's score. Here is the shape of the report (illustrative numbers).
⚠️ The readout above uses illustrative sample numbers, not actual results. We do not claim a proven effect size — the deposition-readiness improvement is exactly what a free pilot with one of your specialty cohorts measures. We will never report a fabricated outcome.
Privacy and privilege are the product — by design. A cohort is never reported below n = 10 (k-anonymity), and no individual readiness data leaves the tool.
On carrier/system seats, no case facts are entered or stored. Physicians practice on de-identified scenarios.
The readiness readout is aggregate-only and suppressed for any cohort smaller than ten — no individual is ever identifiable.
It coaches how a witness answers (composure, pace, discipline) — never what to say. No legal advice, no UPL exposure.
Designed to run alongside, under, and between assigned counsel's prep — never instead of it. AES-256 per-user encryption, 30-day auto-purge, BAA available.
Every time they "just ask ChatGPT" how to handle their deposition, they may be manufacturing discoverable material that hurts the defense you're funding.
| Public GenAI: prompts & outputs are discoverable ESI | Our tool: no case facts entered or stored; practice on de-identified scenarios |
| Public GenAI: no reasonable expectation of confidentiality (US v. Heppner, S.D.N.Y. Feb 2026) | Our tool: encrypted, zero-retention, counsel-supervised — the posture privilege requires |
| Public GenAI: trains on the user's inputs | Our tool: no training on customer data; BAA available |
Not legal advice; the privilege/discoverability landscape is evolving — your counsel should confirm the current posture. We're glad to walk your legal team through the architecture.
A free 90-day pilot for a cohort of currently-sued physicians, with an anonymized readiness readout for your risk committee. No IT lift.