AI tools typically build a rough range from generic factors like age, relationship, and alleged losses. That can feel reassuring in a painful moment. Still, Menasha cases often turn on facts that don’t translate well into a spreadsheet—such as:
- Who had the duty of care in the situation (vehicle operators, property owners, employers/contractors)
- How Wisconsin investigators and records describe causation (what the reports say, what’s missing)
- Whether fault is disputed and how evidence supports or undermines that position
- Timing—what was documented early versus what became unavailable as days passed
In practice, insurers don’t negotiate based on an AI’s “typical outcome.” They negotiate based on how well your evidence would hold up in a claim process and, if needed, in court.


