Most AI tools generate a range based on generalized assumptions—such as injury severity and age. That can help you understand which categories typically matter (medical care, long-term support, and lost earning capacity).
However, Gloucester City cases often turn on facts that are hard to compress into a set of inputs:
- Evidence quality from the scene (what’s captured on nearby traffic cameras, dash cams, or bystanders’ video)
- Timeline of symptoms and diagnosis (when neurological changes were first documented)
- Whether the injury was immediately treated as catastrophic (and how quickly appropriate specialists became involved)
- Functional limitations in daily life (mobility, transfers, bowel/bladder management, skin-care needs)
AI can’t reliably confirm these items unless your medical record already contains them clearly—and unless the tool is designed to incorporate NJ-specific case dynamics.


