Most AI-style tools work by using simplified inputs—injury severity, treatment duration, and general categories of losses—to produce a rough range. That can be a starting point, especially when you’re overwhelmed.
But in Covington, where traffic patterns and road conditions can complicate liability, the “missing piece” is often not the math. It’s the context:
- What happened in the seconds before impact (lane choices, turning movements, merging behavior)
- Whether the truck was operated safely for the conditions at the time
- Which company records exist (maintenance history, driver logs, routing/scheduling)
- How insurers frame causation (“pre-existing” conditions, delayed reporting, unrelated symptoms)
An AI estimate can’t review a dashcam, extract meaning from medical imaging, or evaluate how Kentucky insurers typically challenge truck crash injuries. That’s where legal review matters.


