AI tools typically produce a “range” based on inputs like age, income, and relationship. The problem is that Peoria cases often hinge on details that don’t fit neatly into a form—especially when liability is contested.
For example, in local traffic-and-commute scenarios, disputes frequently focus on:
- Speed and lane control on arterial roads during peak travel
- Distractions (cell phone use, failing to yield, missed turns)
- Failure to maintain safe conditions (visibility, signage, lighting, debris)
- Whether the fatal outcome was caused by the defendant’s conduct versus intervening factors
When those points aren’t supported with evidence, an AI “death compensation estimate” can give false confidence.


