AI tools typically rely on general patterns: injury type, treatment duration, and reported losses. In Marathon, though, insurers frequently focus on issues that a generic form can’t capture well, such as:
- Tourist and visitor driving behavior (unexpected lane changes, unfamiliar navigation, hurried stops)
- Roadway layout and visibility on busy stretches where turning movements and merging are common
- Delays in obtaining records when care involves multiple providers or follow-up imaging
- Comparative fault arguments that can arise when the crash includes contested signals, speed estimates, or uncertain witness accounts
That’s why the most useful way to use an AI estimate is as a sanity check—not a prediction of what an insurer will offer in your exact Marathon case.


