AI tools typically ask for a few inputs—injury type, date of injury, body part, treatment history, time off work—and then generate a broad range based on patterns. That can feel reassuring after a stressful workplace accident.
But in Glens Falls, what often separates a “rough range” from a real valuation is the evidence behind your work capacity:
- Whether your treating provider clearly documents work restrictions (not just symptoms).
- Whether those restrictions match what’s available locally (especially when employers offer limited light duty).
- Whether treatment was consistent after the injury—an issue insurers commonly scrutinize.
- How wage loss is supported by payroll records and benefit history.
An AI output can’t verify those realities. It can’t read the fine print in your medical timeline or predict how the carrier will respond to factual disputes.


