Engineering Rule 23(b)(3) predominance.

Class certification turns on whether common questions predominate over individual ones — and the defense’s whole game is to fracture the class into thousands of individual inquiries. JustineAI™ is designed to engineer predominance affirmatively: the reasoning core will map which liability questions resolve on common proof — a uniform policy, a company-wide rounding practice, an off-the-clock expectation — and isolate where genuine individual variation lives. It then runs the defense’s own decertification theory against the record, so counsel meets the individualized-inquiry argument with evidence instead of being surprised by it.

What EL is designed to do.

1. 01

   The platform will sort each element of the claim into common-proof versus individualized-proof, anchoring the predominance argument in the specific policy, practice, or record that resolves the question class-wide rather than worker-by-worker.

2. 02

   Reading the entire class record in one context lets the reasoning core detect uniformity directly — a meal-break auto-deduction applied to everyone, a rounding rule that always favors the employer — which is the factual spine of a predominance showing.

3. 03

   The platform will adopt the defense’s posture and simulate the decertification motion: where would individualized inquiry actually defeat commonality, and which sub-class definition or trial-management plan neutralizes that exposure.

4. 04

   Manageability gets engineered, not asserted: the platform will draft a trial plan showing how common issues try in one proceeding and how any residual individual issues resolve through sampling, claims forms, or phased adjudication.

5. 05

   Every predominance assertion is CourtListener-grounded — tied to controlling certification authority in the forum circuit — and every factual premise traces to the reconciled record, with the attorney attesting to the showing before it is filed.

The AI reasons; the attorney decides.