Many AI tools generate a “range” using generic assumptions. That can feel helpful until the details don’t match your reality—especially in fatal-incident cases.
Common reasons estimates fall apart include:
- Fault is disputed. In Indiana, insurers often focus on comparative fault and causation arguments.
- The death timeline matters. Some victims die after complications later; defenses may challenge whether the incident actually caused the fatal outcome.
- Local evidence can be time-sensitive. Dash footage, scene photographs, witness memories, and vehicle data can become harder to obtain as days pass.
- Insurance posture varies. An automated model can’t predict how Wabash-area insurers will value litigation risk once liability evidence is reviewed.
A calculator can be a starting point for questions—but it can’t evaluate the evidence your case actually has.


