An AI-style tool typically uses inputs like diagnosis, treatment history, and symptom descriptions to generate a rough range. That can help you understand what categories are commonly discussed (medical bills, lost income, and non-economic harm).
But in traumatic brain injury claims, the details matter—often more than the label.
In Mount Vernon, insurers may focus on questions like:
- Was the accident the real trigger for neurological symptoms?
- Were symptoms reported consistently and promptly?
- Did you follow through with recommended care?
- Do the records show functional impact (missed shifts, inability to focus at work, memory problems affecting driving/safety, etc.)?
If an AI tool assumes facts you can’t yet prove—or can’t interpret the quality of your medical documentation—it may give a number that doesn’t reflect what a settlement actually looks like in practice.


