How the MM edition is designed to work.
JustineAI™ MM runs the same compositional fabric as the in-market PI edition — Eve-Legal F5/reasoner, one Justine supervising stage-specialized sub-agents in a single 10M-token context. What changes is the calibration. Each deep-dive below describes a mechanism this edition is built to carry once it opens. The architecture is real today; the MM calibration is on the roadmap.
- 01Whole-record review
Reading the entire multi-provider record in one context
A med-mal record runs 5,000 to 50,000 pages across providers; Justine is designed to hold it all in one reasoning context.
Read deeper → - 02Standard of care
Anchoring each suspected breach to cited medical literature
The governing standard is quoted from real literature for the defendant’s specialty — never invented — and the expert owns the opinion.
Read deeper → - 03Causation
Isolating the harm caused by the deviation from the underlying disease
But-for, alternative-cause, and loss-of-chance reasoning that separates the deviation’s harm from the patient’s underlying disease.
Read deeper → - 04Daubert
Building the Daubert challenge against opposing experts
A pre-read on each opposing expert — prior testimony, publications, and method — with every authority grounded on CourtListener.
Read deeper → - 05Merit gate
Drafting the certificate of merit before the complaint is filed
The venue’s affidavit-of-merit template, pre-populated from the record and reconciled with the discovery-rule clock, for the expert to sign.
Read deeper →