AI tools typically ask for basic incident details and then generate a range based on generalized patterns. That can be emotionally tempting, especially when you’re trying to plan for funeral expenses, lost household support, and mounting bills.
But in real Williamsburg cases, the “average outcome” can miss critical factors, such as:
- Conflicting accounts gathered during a fast-moving response (common in high-traffic or event-heavy areas)
- Causation disputes—for example, when injuries worsen over time or multiple conditions are involved
- Insurance and coverage positioning—adjusters often frame fault and damages differently than a calculator would
In other words: the tool can’t review the documents, evaluate the credibility of evidence, or anticipate how the defense will challenge causation.


