AI tools typically rely on generalized inputs—injury severity, treatment duration, and a few common categories of damages. In Rosemead, that can miss key realities that affect liability and payout:
- Commute timing and traffic patterns: Many crashes happen during peak travel when visibility, lane changes, and speed differences are harder to manage.
- Multiple responsible parties: Truck cases often involve more than the driver—trucking companies, maintenance vendors, loading practices, and sometimes third parties.
- California documentation expectations: Insurers and defense attorneys focus heavily on medical records and causation—what was diagnosed, when it was documented, and how treatment tracks the crash.
So while an AI may output a range, it can’t confirm whether your specific records support the totals it suggests.


