Many AI tools generate a range by asking for details like burn type, treatment length, and whether you had scarring or surgery. That can help you picture categories of damages.
But in Little Ferry cases, the missing pieces are often the same ones insurers scrutinize:
- How the burn depth and progression were documented (initial ER notes vs. follow-up findings)
- Whether you had complications (infection, nerve pain, mobility issues, graft-related problems)
- Whether your job impact is supported (work restrictions, attendance records, wage loss documents)
- How well the incident is tied to your medical findings (burn pattern, timeline, causation)
An AI output can’t review your charts, interpret operative reports, or predict whether additional treatment will be recommended later—issues that frequently determine settlement leverage.


