AI tools generally work from broad patterns: injury severity, age, and assumed care needs. But local outcomes depend heavily on details that a calculator can’t see, such as:
- Crash documentation quality: In many Burlington-area cases, police reports, photos, and vehicle damage photos (or dashcam/video when available) strongly shape what insurers accept.
- Timing and reporting: If neurological symptoms were documented later—or if the initial description of the incident was incomplete—causation becomes more contested.
- Work and commute disruption: Burlington residents may face job limitations tied to physical labor, long driving times, shift work, or difficulty returning to a specific schedule. That impacts how lost earning capacity and future needs are argued.
- Local medical coordination: The strength of your prognosis often turns on whether your records clearly reflect functional limitations, therapy recommendations, and long-term care planning.
An AI estimate is best treated like a starting worksheet, not a promise.


