AI tools typically use patterns from past cases to produce a rough range. That can be useful when you’re trying to answer questions like:
- “What portion of my claim is usually tied to medical bills?”
- “How do missed work and follow-up treatment affect a total?”
- “If my injury is still healing, should the estimate be higher later?”
But estimates can be off when the inputs don’t match the facts of your crash—especially in suburban traffic settings where an insurer may argue:
- you were partially responsible because of speed, lane position, or attention,
- the crash caused symptoms indirectly rather than directly,
- or the medical record doesn’t clearly document how the injury ties to the accident.
In other words, the “math” is only part of the story. The documentation is what turns an estimate into a claim value.


