Many AI tools work from simplified inputs (injury type, treatment length, bills, lost wages). That can be a starting point, but truck cases rarely fit a template—especially when the crash happens during real-world Adrian driving patterns like:
- Workday commuting and stop-and-go traffic where rear-end impacts are common
- High-speed stretches where braking distance and lane choice become central
- Commercial routes that involve frequent tractor-trailer traffic and turning movements near intersections
In these situations, the settlement value is tied to proof of what happened and what the evidence shows about causation. An AI estimate can’t reliably weigh the strength of:
- driver and company records (including log and training information)
- maintenance histories and inspection issues
- scene documentation (skid marks, vehicle positioning, dash/traffic footage)
- the timeline between the crash and your first medical evaluation


