AI tools typically ask for a few details (age, relationship, medical costs, and general income). They then generate a range that looks like a “settlement value.”
The problem is that Murray cases often hinge on issues an online tool can’t properly weigh, such as:
- Causation vs. timing (what exactly led to the fatal outcome, especially when complications occur after the initial event)
- Fault allocation (for example, disputed braking distance, speed, lane control, signal timing, or shared responsibility)
- Evidence quality (dashcam availability, traffic camera footage, witness recall, and whether reports are consistent)
- Insurance posture (some carriers move fast when they believe liability evidence is thin)
An AI estimate may help you think about categories of loss—but it can’t review crash data, medical records, witness statements, or Utah-specific legal standards that control what a jury (or insurer) may accept.


