AI tools typically generate estimates from generalized patterns—then they ask you to plug in details. That can be helpful for basic budgeting, but it can’t “see” what matters in a real Kenmore case, such as:
- Whether the crash happened during a commute window (when traffic density, visibility, and driving behavior are different)
- What witnesses observed before and after the impact
- Whether medical records match the accident timeline—especially when symptoms develop or worsen over days
- How New York comparative fault may be argued if the defense claims you contributed to the crash
In other words: two riders with similar injuries can see very different outcomes depending on evidence strength and credibility.


