Bay City cases often turn on facts that aren’t “calculable” by a form: the timing of events, witness credibility, whether a party violated a safety rule, and whether the fatal outcome was truly caused by the defendant’s conduct.
AI tools typically rely on generalized assumptions—like average wage loss or typical injury timelines—without reviewing:
- police reports and incident supplements
- EMS records and hospital documentation
- employment records and shift schedules (critical in industrial/workplace settings)
- maintenance logs, training materials, or inspection results
- vehicle data or site security footage
Two families with similar losses can see very different outcomes because the evidence strength is different. An AI tool may provide a “range,” but Michigan negotiations and litigation risk are driven by proof.


