Winona cases often involve mixed evidence: dashcam/video from nearby vehicles, witness accounts from busy intersections, and medical documentation that arrives in stages. Because spinal cord injury outcomes depend on details, a generic online tool may produce a number that doesn’t match what the record ultimately shows.
Common reasons AI estimates miss the mark:
- Severity gets categorized too broadly. Two people can share a similar diagnosis label but have very different functional limitations.
- Future care is assumed, not proven. In real negotiations, insurers look for documentation supporting long-term therapy, equipment, and home/vehicle changes.
- Local fault disputes matter. Minnesota claims can involve questions about comparative fault, traffic signals, roadway conditions, and whether safety practices were followed.
Instead of treating an AI figure as a promise, use it as a starting point for what to gather next.


