Many AI tools assume a clean, predictable path: injury occurs → symptoms are documented → treatment follows → restrictions are consistent → settlement discussions begin.
In Salem Lakes, the reality can look different. Common local patterns include:
- Seasonal work schedules that affect when treatment starts and how wage loss is calculated.
- Commute and schedule gaps (especially for workers traveling between nearby communities) that can complicate documentation of missed shifts.
- Different job environments—warehouse/industrial settings, public-facing roles, and fieldwork—where the “how it happened” details matter.
- Tourism-adjacent or event-driven work pressures during peak months, which can lead to rushed returns to duty before medical restrictions are clear.
When your case has any of those complexities, an AI estimate may understate (or overstate) value because it can’t see the specific evidence your insurer will rely on.


