AI tools typically work best with clean, complete inputs—clear fault, complete documentation, and uncomplicated causation. Orlando cases often involve conditions that complicate those assumptions, such as:
- High-speed merges and multi-lane congestion on major corridors where witness accounts can conflict.
- Pedestrian and cyclist interactions near commercial areas, sidewalks, and nightlife zones.
- Tourism-related travel patterns, where the deceased may be unfamiliar with local routes, signage, or traffic rules.
- Construction and traffic-control variability, especially in areas experiencing frequent roadwork and changing detours.
When liability is contested—or when causation is debated—an AI “range” can be misleading. Insurers look for weaknesses: missing records, gaps in witness statements, uncertainty about who did what, and whether the death is linked to the wrongdoing in a legally recognizable way.


