Many AI tools work from broad inputs like injury severity, recovery length, and treatment costs. That can create a range quickly. But the number is only as good as the assumptions behind it.
In Geneva and the Finger Lakes region, claims often turn on proof that’s not captured by a form—such as:
- Whether the right tests were ordered and acted on during the period your symptoms changed
- How quickly follow-up happened after abnormal results
- Whether documentation matches what was communicated to you
- Whether delays affected outcomes (for example, when a condition worsens between visits)
An AI tool generally can’t evaluate medical charts the way a legal team and medical experts do. It also can’t measure credibility—who documented what, when, and how consistently.


