Many AI tools try to produce a “range” based on injury type, treatment history, and reported work impact. The problem isn’t that the math is always wrong—it’s that the inputs you provide often can’t capture the evidence adjusters rely on.
For example, in Gallup and throughout New Mexico, insurers commonly focus on:
- Whether the work activity matches the medical timeline (and whether symptoms were reported consistently)
- Whether restrictions from your treating provider match what you actually could do
- Whether wage-loss documentation is complete—including how often you worked, shift patterns, and any benefit records tied to payments
If an AI tool doesn’t have those details (and it usually doesn’t), the estimate may skew low—especially for cases involving disputes about disability duration, work capacity, or the connection between the job event and ongoing symptoms.


