AI tools typically work like a worksheet: you answer a few questions, and the system produces a rough range based on patterns it has seen in other cases. That can be helpful, but it can also be misleading when your situation hinges on details that an AI model can’t fully evaluate.
In Truckee, those missing details often include:
- Weather and road conditions at the time of the crash (snow, ice, visibility, plowing practices)
- Driver behavior tied to commuting and tourism, such as speeding on mountain grades, tailgating, or distracted driving in crowded corridors
- Location-specific evidence—dashcam footage, traffic camera captures, witness statements from nearby businesses, and scene documentation that may be time-sensitive
- Whether the injury is truly caused by the incident versus a pre-existing condition or delayed complication
When the record is incomplete—or when causation is disputed—an AI estimate may look “reasonable” but still fail to reflect what insurers will argue or what a jury would accept.


