AI tools typically generate a range based on inputs like age, income, and incident type. That can feel helpful. The problem is that wrongful death settlements are driven by case-specific proof—what documentation exists, who can be held responsible, and how damages are supported.
In Pearl, common realities that can change settlement value include:
- Crash investigations that uncover more than the initial report (or reveal conflicting accounts)
- Insurance disputes over causation—for example, whether injuries led to death or whether other factors intervened
- Timing gaps in evidence—surveillance footage, witness availability, or vehicle/scene data can become harder to obtain
- Commercial involvement (delivery vehicles, contractors, or employer-side operations) that can complicate insurance coverage
An AI “number” can’t review incident reports, medical records, or witness credibility. It also can’t evaluate how a Mississippi court or jury is likely to view the evidence.


