In and around Mount Washington, many serious injuries involve people traveling to and from work during peak hours, sometimes under tight schedules and heavy traffic. That reality can affect evidence in ways an AI tool can’t account for:
- Delayed symptoms and documentation gaps. In spinal cord injuries, the most important proof is often how quickly symptoms were noticed and how consistently they were reported.
- Conflicting accounts at the scene. Liability can hinge on witness statements, statements made to responding personnel, and what was captured on nearby cameras.
- Complex fault arguments. Insurers may argue pre-existing conditions, intervening causes, or that the event wasn’t severe enough.
An AI tool may produce a plausible range, but if it’s built on assumptions rather than your actual medical timeline and causation evidence, the number can drift far from what a claim can support.


