Most AI tools work by taking a few inputs—age, relationship, income, and incident type—and producing a “range.” That can be useful for asking the right questions. But it misses the details that matter locally, especially when claims involve shared fault, disputed causation, or multiple responsible parties.
For example, in Manville-area cases involving:
- Motor vehicle collisions on commuting routes (where impairment, speed, and lane control may be contested)
- Pedestrian or crosswalk incidents near busy retail or neighborhood streets
- Construction or industrial workplace hazards where safety responsibilities may be split between employers and contractors
…the strongest outcomes typically depend on the kind of documentation an AI tool cannot reliably analyze—police findings, scene photos, maintenance records, witness statements, and medical records that connect the injury to the death.
Bottom line: an AI output can’t review the file. It can’t challenge defense theories. And it can’t tell you what proof is missing.


