AI tools are designed to estimate—often using generic patterns from past cases. That can be helpful for understanding what categories of losses matter, but it rarely captures what local insurers focus on when they’re responding to a claim.
In Mentor, disputes often turn on details like:
- Crash reconstruction questions (who entered the intersection or lane when)
- Whether traffic-control devices were visible and whether sight lines were blocked by weather, lighting, or nearby vehicles
- Documentation gaps between the crash date and the first meaningful medical visit
- Consistency between your reported symptoms and what clinicians record over time
An AI estimate won’t weigh those issues the way an insurance adjuster—or a lawyer building your case—will.


