Demand-package construction.

A demand package is a structured legal artefact — not a chat output. JustineAI assembles the package with explicit structure: a fact-by-fact liability narrative, a chronologically-ordered medical record, an ICD-10/CPT-coded exhibit, an economic-damages computation, a non-economic-damages argument, a future-care projection, and a settlement demand with the floor and ceiling articulated.

What the platform actually does.

1. 01

   Package structure follows a versioned template; attorney can fork the template per matter type without losing the structural discipline.

2. 02

   Every section of the package is produced by a scoped sub-agent and reviewed in the curation layer.

3. 03

   Edits in the curation surface propagate to the package; the package is generated from the structured data, not edited as opaque prose.

4. 04

   The package renders to PDF and DOCX with the firm’s template; the underlying data remains queryable for later use.

5. 05

   The settlement demand is shown alongside the floor (acceptable resolution), the ceiling (the demand), and the negotiation-range model that produced both.