The clinical literature behind this diagnosis, matched and cited.
Standard of care literature matching surfaces relevant peer-reviewed literature and standard-of-care guidelines, matched to the diagnoses and treatment already in the record — the research starts from the record, not a search box. Every match is cited on both ends. It is background for the expert you retain, reference material rather than a ruling, never a substitute for them.
The research starts from the record, not a search box.
The platform has already read the file: every diagnosis, procedure, and treatment decision is extracted and cited to its source page. Those clinical facts — not hand-typed keywords — drive the literature matching, so the reference set reflects what actually happened to this patient.
Guidelines and studies, cited on both ends.
Every match is a two-way link: the record fact that triggered it traces to its exact source page, and the matched guideline or peer-reviewed source is identified so counsel and the expert can pull the original. Audit-grade and source-linked — nothing appears in the set without a traceable reason.
Built for the expert workflow, not around it.
Retained experts spend their first hours orienting: what was diagnosed, what was done, what the applicable guidance says. This hands them that orientation as a cited reference packet — record facts on one side, matched literature on the other — so their paid time goes to the opinion only they can give.
Reference material, never a ruling.
The platform matches; it does not judge. No match carries a signature, no output states whether care met the standard, and nothing here substitutes for the retained expert's opinion. That line is by design — it is what makes the reference set legally defensible to hand across the table.
A gated, sign-off-controlled assessment capability is on the roadmap as a separate feature — and even there, AI drafts and the licensed professional decides.
See AI Case Merit Assessment (roadmap)From record to cited reference set.
Three steps — the literature background arrives with the record review, not weeks after it.
The platform reads every page and extracts diagnoses, procedures, and treatment decisions — each one cited to its source page.
Guidelines and peer-reviewed sources relevant to those specific facts are matched, each labeled unsigned with a two-way citation.
Export the reference packet. Your retained expert starts from organized, cited material and forms the opinion only they can sign.
Who works with matched literature.
Litigation teams on both sides of the v. — anywhere the standard of care is the question.
Screen which cases merit an expert before spending the retention budget.
For malpractice workThe guidance the other side will cite, on your desk with the record review.
For defense lawyersA consistent, cited literature workflow across every file, not per-associate research habits.
For law firmsLiterature matching, answered.
The platform starts from the record itself: the diagnoses, procedures, and treatment decisions already extracted from the file become the search queries. Peer-reviewed literature and standard-of-care guidelines relevant to those specific clinical facts are matched and returned as a cited reference set — so the research starts from what actually happened to this patient, not from a generic keyword search.
Each diagnosis and treatment in the record is normalized to standard clinical terminology, then matched against published clinical practice guidelines and peer-reviewed sources that address that condition and intervention. Every match shows both sides of the link: the record fact that triggered it, cited to its source page, and the reference it matched.
No. Every match is presented unsigned — it is reference material, not a medical opinion, and the platform never renders a standard-of-care judgment. Interpretation of what the literature means for the case belongs to the retained expert. A separate, gated assessment capability is on the roadmap, and even that ships behind a mandatory professional sign-off.
Every match carries a two-way citation: the clinical fact in the record that triggered it links to its exact source page, and the matched reference links to the guideline or publication. Nothing appears in the reference set without a traceable reason — audit-grade and source-linked on both ends.
It compresses the background phase. Instead of handing the expert a raw record and waiting while they orient, you hand them the record plus a cited reference set matched to its diagnoses and treatment. The expert still forms the opinion, signs it, and defends it — they just start from organized, cited material instead of a cold file.
Related capabilities.
Literature matching sits inside a full medical-legal analysis toolkit.
Favorable and unfavorable fact patterns flagged in the record, cited — signals, not a verdict.
ExploreOn the roadmap: scored assessment built on these matches — provisional until a professional signs off.
ExploreColor-coded, page-by-page deposition digest plus narrative summary — editable and cited.
ExploreSee the literature matched to one of your own files.
Upload a single record and get back a cited, unsigned reference set — matched to its diagnoses and treatment. Handled under our BAA; never used to train a model.