Many AI tools work by combining your inputs (injuries, treatment, time off work) with generalized patterns from other cases. That means the output is usually best viewed as a range, not a promise.
In practice, insurers evaluating a crash in Marquette may focus on:
- What the crash report and scene evidence show (especially when conditions were poor—snow, slush, glare, or slick pavement)
- Whether your treatment timeline is consistent with your reported symptoms
- How quickly your injuries were documented after the ride incident
- Whether other causes are suggested (for example, road surface issues, weather-related loss of control, or comparative fault arguments)
Even when two riders have similar diagnoses, a Marquette case can value differently depending on documentation quality and how clearly the evidence ties the crash to the medical findings.


