AI tools typically generate a “likely range” by combining inputs (injury level, age, medical needs, and similar factors). That can provide direction, but it often struggles with the details that matter most in Gardner cases—especially when fault is contested.
For example, insurers may challenge:
- Causation (what event triggered the neurological damage)
- Severity (how complete the injury is and whether complications emerged)
- Future care (what “lifetime” support realistically looks like for your functional limits)
A calculator can’t review your imaging reports, neurological exams, or the clinician language that supports a prognosis. In practice, two people with the same diagnosis label can have very different outcomes depending on documented function loss, complications, and how quickly treatment began.


