AI tools typically work from generic inputs. In Wilson, that’s a problem because real claims hinge on specifics—especially in cases involving:
- Commuter traffic and rear-end collisions on busy corridors
- Intersection and turning crashes where braking distance and reaction time matter
- Truck or commercial vehicle involvement that can raise causation and damages complexity
- Roadside impacts and secondary injuries that worsen neurological outcomes
Even if an AI tool gets the diagnosis right, it can’t see the details that insurance adjusters and juries rely on, such as neurological testing trends, imaging findings, skin integrity risk, respiratory involvement, and the functional level a person can maintain day to day.


