AI tools typically combine inputs like injury description, treatment timeline, and reported losses to generate a range. That can be useful when you’re trying to understand which categories usually matter most (medical treatment, wage loss, and non-economic harm).
But AI can’t see the details that drive real-world results, such as:
- whether the crash report aligns with your medical timeline
- how clearly the scene evidence supports fault
- whether insurers argue you were partially responsible
- whether your injuries improved as expected or worsened later
In Montebello, where traffic patterns and intersection activity can create disputed versions of events, those gaps are especially common. A calculator won’t resolve conflicting statements—your evidence will.


