Most AI settlement tools work by taking inputs—injury severity, treatment duration, medical costs, and sometimes lost income—and then generating a range based on simplified assumptions.
That can be useful for orientation. But it often misses the kind of details that matter most in real Indiana cases, such as:
- How quickly care was escalated once symptoms worsened (and whether providers documented that escalation)
- Whether follow-up instructions were actually carried out—and whether records show that the right tests were ordered
- Whether pre-existing conditions were properly considered during diagnosis and treatment decisions
- How functional limitations affect work when you’re dealing with physically demanding jobs or irregular shift schedules
In other words, the difference between “an estimate” and “a claim that holds up” is evidence, not math.


