Most AI-style tools work by asking for inputs like injury severity, treatment length, and lost income. That can create a rough range, but it typically doesn’t capture the things that often decide outcomes in Wisconsin trucking cases—especially when fault and causation get contested.
In Waukesha-area crashes, common “value killers” include:
- Unclear fault (e.g., disputes about lane position, speed, braking, or whether a truck driver followed Wisconsin traffic rules)
- Gaps in documentation (missing early medical notes, delayed imaging, or incomplete billing)
- Pre-existing conditions raised by insurers (arguing symptoms weren’t caused or worsened by the collision)
- Trucking-specific proof problems (maintenance history, driver log issues, cargo condition, or inspection records)
An AI tool can’t review those documents or explain how they’ll likely be interpreted in negotiations.


