AI tools typically produce a range based on inputs like injury severity, age, and treatment history. That can be a useful starting point for questions. It’s not a reliable prediction of what insurance companies will actually offer in a New York claim.
Here’s what often makes AI outputs diverge from real-world outcomes in Fulton:
- Local fault disputes are common. In car and truck collisions around commuting corridors and intersections, insurers frequently argue about speed, lane position, signal compliance, and whether symptoms were caused by a prior condition.
- Spinal cord injury proof depends on specifics. Two people can share a diagnosis label and still have very different neurological impairment, complications, and care trajectories.
- New York claim handling focuses on evidence readiness. Adjusters and defense counsel tend to react to what’s in the record—imaging reports, functional assessments, and care recommendations—not what a calculator “suggests.”
So treat an AI estimate like a worksheet: helpful for organizing what you need next, not a substitute for a case evaluation.


