Reading the entire multi-provider record in one context.

When the Medical Malpractice Edition opens, Justine will read the full record set — hospital, surgical, anesthesia, nursing, pathology, imaging, and billing, ordered and deduplicated across every provider — in a single 10M-token context rather than chunk by chunk. A med-mal case can run 5,000 to 50,000 pages across four or more facilities; the contradiction that decides the matter is rarely on one page. Holding the whole record at once is the moat: sequencing, gaps, and conflicting entries surface together, each anchored to its source page, for the attorney to review.

What MM is designed to do.

1. 01

   Justine is designed to assemble the multi-provider record set — hospital, surgeon, anesthesia, nursing, pathology, imaging, and billing — ordering, deduplicating, and chronologizing across facilities so the working artefact is one timeline, not a stack of PDFs.

2. 02

   The 10M-token single context lets the whole record be reasoned over at once, so a nursing note at hour two and the physician note for the same window are compared directly — the contradiction surfaced, not lost.

3. 03

   Every surfaced finding will carry the source page that triggered it; provider attribution is preserved end to end, and the attorney jumps from any claim back to the underlying record in one click.

4. 04

   Duplicate submissions across facilities will be collapsed while their provenance is kept, so the chronology reads clean without discarding the fact that two providers documented the same event differently.

5. 05

   Records will remain inside the matter’s tenant boundary and are never used to train any reasoner; the long-context read is a one-shot query over the firm’s own file, not a contribution to a shared model.

The AI reasons; the attorney decides.