Most AI tools generate a range based on generalized assumptions (injury severity, age, and claimed care needs). But Warren cases tend to hinge on details that calculators can’t reliably see, such as:
- How the injury was documented immediately after impact (neurological findings, emergency notes, imaging timeline)
- Whether symptoms were consistent with the accident or were delayed/contested
- What Michigan records show about prognosis (stability, complications, and the expected course)
- How fault is argued in local traffic scenarios—rear-end collisions, lane changes, intersection disputes, and roadway conditions
In short: an AI estimate may point you in the right direction, but the “real number” comes from proof—medical, factual, and procedural.


