Many AI calculators assume that injuries and damages line up neatly with broad categories. Chicago cases often don’t.
- Urban collision dynamics: Rear-end and multi-vehicle crashes at high-volume corridors can produce disputed causation—especially when there are gaps in documentation or symptoms evolve.
- Pedestrian and cyclist exposure: When a spinal injury follows a crosswalk, curb impact, or bicycle collision, liability may involve multiple parties (drivers, property owners, or event/maintenance responsibilities).
- Traffic congestion and documentation: In practice, insurers may argue that delayed reporting, gaps in emergency-room notes, or incomplete early imaging means the injury wasn’t caused by the incident.
That’s why an AI range can’t replace a Chicago-focused evidence review that connects the event to the neurological findings.


