Most AI tools work by asking questions like injury type, treatment length, and other losses—then producing a rough range. The problem is that truck crash value is often won or lost on proof, not math.
In Virginia, insurers commonly dispute some combination of:
- Liability (who was actually at fault, including potential company responsibility)
- Causation (whether your symptoms were caused or worsened by the crash)
- Reasonableness of medical care (especially when treatment spans multiple providers)
- Future impact (whether long-term limitations are supported by records)
An AI model can’t review your imaging, interpret provider notes, or evaluate whether the crash report and trucking documentation line up with your medical timeline.


