Reading the produced claim file end to end.

In bad faith, the case lives inside the carrier’s own claim file — and that file arrives as a disordered thousand-page production. JustineAI™ is being built so the reasoning core reads the whole produced file in a single 10M-token context: the activity diary, every reserve adjustment, every supervisor referral, the coverage memos, the denial letters. The intake sub-agent will reconstruct the file into a single timeline, aligning what the adjuster wrote against what the adjuster did, surfacing the day the carrier knew the claim was owed.

What IB is designed to do.

1. 01

   The reasoning core is being built to hold the entire produced claim file at once — diary, reserves, memos, correspondence — so the question becomes one query, not a hundred associate-hours of page-flipping.

2. 02

   An unbranded reconstruction facet will rebuild the carrier’s own chronology: each diary entry, reserve change, and internal referral placed on one timeline the attorney can read top to bottom.

3. 03

   The system is designed to align stated reasons against contemporaneous conduct — the denial letter’s rationale set beside the diary note written the same week — and flag where the two diverge.

4. 04

   Reserve movements will be tracked as evidence: a reserve set near policy limits while the file still calls liability disputed becomes a surfaced contradiction for the attorney to weigh.

5. 05

   Every surfaced fact will carry a one-click jump to the produced page and Bates number; the attorney decides what the timeline means and attests to the reconstruction before it leaves the platform.

The AI reasons; the attorney decides.