Most AI tools work from broad assumptions. That can be misleading in Golden because real-world liability frequently hinges on issues like:
- Road and weather conditions (snowmelt glare, late-season ice, sudden visibility changes)
- Intersection and turning dynamics (failure to yield, distracted driving, lane positioning)
- Commuter traffic patterns (rush-hour speed and stopping distance, merges, and abrupt braking)
- Pedestrian/bicycle activity near retail corridors and neighborhood routes
Even two cases with similar “losses” can settle very differently if the evidence about fault, causation, or comparative responsibility is stronger in one than the other.


