Modeling class-wide damages under the right multiplier.

Damages in a wage-and-hour case are not one number — they are a contested method applied across thousands of members. JustineAI™ is designed to model the class-wide exposure under each competing theory in parallel: half-time under the fluctuating-workweek method versus the full 1.5x time-and-a-half rate, with and without FLSA liquidated (double) damages, and across a defensible statistical sample where individualized computation is impractical. The attorney sees the spread between best-case and defense-case methodologies, member by member, before a single demand is framed.

What EL is designed to do.

1. 01

   The platform will compute exposure under both the fluctuating-workweek half-time method and the standard 1.5x time-and-a-half method side by side, because which one governs is the single largest swing in class value and is litigated, not assumed.

2. 02

   Liquidated damages will be modeled as a toggle keyed to the good-faith defense: the reasoning core projects the doubled exposure and flags the employer records that bear on whether the failure was willful, extending the limitations reach.

3. 03

   Where the class is too large for record-by-record computation, the platform will support a statistically valid sample, project per-member averages with confidence intervals, and document the sampling methodology a Tyson Foods-style proof would require.

4. 04

   Each member figure will trace back through the reconciled ledger to the underlying punches and pay stubs, so the aggregate is never a black box — it decomposes to verifiable individual lines on demand.

5. 05

   State-law overlays compound on the federal model: the platform will layer California-style daily overtime, waiting-time and wage-statement penalties, or other jurisdiction-specific multipliers onto the FLSA baseline per the governing forum.

The AI reasons; the attorney decides.