An AI estimate is usually built to approximate a claim using inputs like injury type, treatment length, and reported losses. That can help you understand what categories often carry the most weight.
But here’s the practical limitation: an online tool can’t see what an adjuster sees when they review your file in the real world—things like:
- whether the crash report matches your account
- whether medical notes clearly connect symptoms to the accident
- whether witnesses or photos support the timeline
- whether a defense theory (speed, lookout, lane position, comparative fault) is supported
In New York, how fault is allocated can significantly affect what a rider may recover. So an “average” number from an AI tool may not reflect what your evidence actually supports.


