AI tools typically ask for inputs—like injury severity, treatment length, and lost income—and then estimate a range. That can be helpful for understanding categories of damages.
But after a commercial vehicle accident in Rochester, the biggest drivers of settlement value often aren’t “average.” They’re tied to questions like:
- Did the crash occur in a traffic pattern where trucks are more likely to fail to yield, clear turn lanes, or maintain safe stopping distance?
- Was your injury worsened by delayed treatment, gaps in documentation, or insurers challenging causation?
- Are there multiple responsible parties (driver + trucking company + maintenance + cargo/inspection) that affect fault?
- Did the case involve evidence that’s time-sensitive to preserve (dashcam footage, traffic camera clips, employer records)?
In other words, an AI estimate may be broadly correct—but it can still be wrong for your situation if the evidence story is stronger or weaker than the tool assumes.


