Most AI tools work by taking inputs (age, relationship, medical bills, employment history) and producing a range. That can be helpful for understanding what categories of loss exist.
However, wrongful death settlements in real life depend on two things AI estimates often treat too loosely:
- Liability proof (what happened, who was responsible, and what evidence supports it)
- Insurance and litigation posture (how the defense values risk and whether they expect a lawsuit)
In Fullerton, liability frequently hinges on details like traffic conditions, intersection behavior, roadway design, witness availability, and whether post-incident documentation supports your version of events. A generic calculator can’t review the police report narrative, evaluate causation with the right experts, or assess how a jury is likely to view contested facts.


