Many AI tools generate a number by using simplified inputs—injury type, treatment length, and broad categories of losses. The problem is that truck cases often turn on specifics, such as:
- What you were doing right before impact (commuting patterns, lane position, merging behavior)
- Whether the crash involved a commercial vehicle’s operational failure (logs, maintenance, staffing decisions)
- What the evidence actually shows (dashcam availability, intersection visibility, witness clarity)
In Oshkosh, common collision settings include busy corridors, river-adjacent routes with constrained sightlines, and intersections where braking and turn timing are heavily scrutinized. If the evidence is incomplete—or if liability is disputed—an AI range can be misleading.


