An AI estimate is generally a scenario-based projection. It may use inputs like injury type, treatment length, and reported symptoms to generate a number that resembles past claim patterns.
In real Harrison cases, the number can swing because insurers evaluate:
- How liability is supported (who failed to yield, who cut across a lane, whether signals were used, how the intersection/turn unfolded)
- Whether medical records match the crash timeline
- Whether documented limitations align with what you reported
- Whether the injury is likely to improve or require ongoing care
AI tools can’t see your full file—photos, witness statements, EMS documentation, imaging reports, and provider notes are what usually drive the settlement discussion.


