You're handing an AI your clients' medical records. Two questions decide whether you can trust it: Is my data safe? and Can I prove every finding? Here are the honest answers — no jargon, no fine print.
Everything below is something we actually do — not a roadmap. Where we haven't earned a claim yet, we say so.
Every clinical finding, deviation, and quote carries a citation to the exact Bates page of the record it came from. If the AI can't locate a claim on a tagged page, it flags it [UNVERIFIED] instead of presenting it as fact. You check the source in one click — you never take our word for it.
We sign a Business Associate Agreement with every customer before any real PHI is uploaded. Records are encrypted at rest and in transit, processed on infrastructure covered by signed BAAs with our cloud and AI providers, and never used to train any AI model.
Your cases are walled off from every other firm's — each account only ever sees its own records, enforced server-side on every request. We run adversarial security reviews of the live product and fix what they find. Access follows least-privilege.
Independent testing has found general-purpose AI tools invent or misattribute a meaningful share of medical-record citations. Our pipeline is built specifically to make that impossible to hide.
On upload, each page of the record is stamped with a page marker (and its Bates number when present) that travels with the text through analysis.
The AI must attach a page pin-cite to each event, standard-of-care deviation, and verbatim quote — in a format you can click straight to the source.
If a statement can't be tied to a tagged page, it's marked so you see it. Fabricated page numbers can't validate against the real record.
PubMed citations are resolved against NCBI's E-utilities at generation time, so a PMID points to a real article — not an invented one. Still confirm each before you rely on it.
Straight answers to the questions a records custodian — or opposing counsel — would ask.
Under ABA Formal Opinion 512, a lawyer's duty of competence now extends to the AI tools they use: you are responsible for the accuracy of AI-generated work, including checking that its citations are real. A tool that makes verification effortless isn't a nice-to-have — it's how you meet the standard.
That's the entire design premise of MedLegal AI: not "trust the AI," but "here's the page — check it yourself."
Start free on a synthetic demo case — no PHI, no BAA needed to look around. Watch it build a Bates-cited chronology, then run it on your own file.