AI tools typically work by taking a few inputs—injury type, treatment duration, and general categories of loss—and producing a rough range. That can feel comforting, but it often misses the things that insurers focus on in trucking cases:
- Causation disputes (was your condition caused by this crash or something else?)
- Missing or inconsistent medical timelines (gaps can be weaponized)
- Liability complexity (driver vs. employer vs. maintenance/parts)
- Underestimated proof requirements (what you paid vs. what you can prove you were forced to pay)
In Anoka, where many residents commute through busier corridors and mixing of traffic is common, insurers may argue that your injuries were the result of “ordinary driving” or delayed treatment. A calculator won’t know what the adjuster will try to argue.


