AI tools usually estimate damages by using simplified categories (medical care, lost income, and general ranges for pain and suffering). That can feel reassuring when you just want a number.
However, truck cases are commonly affected by issues that are easy to miss if you rely on software alone:
- Comparative fault arguments: Insurers may claim you “should have anticipated” the truck’s movement—particularly in dense commuting areas.
- Causation disputes: If treatment escalated after the crash, insurers may argue the symptoms were unrelated or delayed.
- Multiple responsible parties: A crash may involve not just the driver, but also the carrier, maintenance vendors, loading/dispatch decisions, or other entities.
In other words, an AI estimate might help you think through categories—but it can’t confirm whether your evidence supports the assumptions behind its range.


