AI tools typically work like this: you enter basic facts about injuries and losses, and the tool produces a range. That can feel helpful, but it often misses the real drivers of value in a Hoover truck case:
- Local traffic patterns and impact evidence. Crashes around busy commuting stretches can generate surveillance footage, traffic signal data, or eyewitness accounts that strongly affect fault.
- Trucking-specific records. Insurers frequently lean on maintenance logs, driver documentation, and company policies. An AI estimate can’t reliably account for how those records will be interpreted.
- Causation battles. In many claims, the fight isn’t over whether you were injured—it’s whether the injury was caused by the truck crash, especially when symptoms overlap with prior conditions.
In other words: an AI number may be a starting point, but it’s rarely the final story.


