AI tools typically generate a “ballpark” based on general patterns: injury severity, age, and broad categories of damages. That can be useful when you’re trying to wrap your head around future needs like therapy, mobility equipment, and attendant care.
However, Clinton-area claims often hinge on details that a calculator can’t see—especially when liability is contested. For example, in crash cases involving sudden braking, lane changes, or visibility issues, insurers frequently challenge causation and the timeline of symptoms. If your medical records don’t clearly connect the incident to spinal trauma and neurological findings, online estimates won’t match what negotiations can realistically support.
The goal isn’t to dismiss AI. It’s to treat it as a prompt for what to document next.


