AI tools typically generate a range by using simplified inputs—injury severity, age, treatment, and a few other factors—to approximate damages. In Waynesville, the problem is that many cases involve details that don’t fit neatly into a calculator’s assumptions.
Examples of real-world factors that can push outcomes up or down include:
- Whether the injury was caused by a high-speed collision on a mountain curve or a sudden stop on a commute route
- The timeline between the incident and when neurological symptoms were documented
- Whether imaging and clinical exams support a clear connection between the event and ongoing impairment
- Complications that can worsen long-term functioning (often affecting future care needs)
AI can help you ask better questions. It can’t replace a legal strategy built around medical records, causation, and credible projections.


