Most AI-based tools work like a “fill-in-the-blanks” model. They may ask about injury severity, treatment length, and lost income, then generate a range.
The problem is that trucking cases in the real world are rarely one clean event and one clean cause. In Rockland County—including the Haverstraw area—crashes frequently involve:
- Heavy commuter traffic and sudden stop-and-go conditions
- Intersections and merge points where lane position and timing matter
- Evidence that’s split across police reports, dashcam footage, and trucking logs
- Injuries that evolve after the initial visit, especially with back, neck, and soft-tissue claims
A tool may count categories of damages, but it can’t weigh credibility—such as whether the insurer’s account matches the scene evidence—or whether your treatment timeline makes sense under New York negligence and causation standards.


