AI tools typically rely on simplified inputs—age, relationship, and a handful of financial figures—to produce a “range.” In Pasadena cases, that approach can fall short because the value of a claim often depends on details like:
- Causation (what directly led to the death, not just what happened)
- Liability evidence (reports, witness credibility, video/footage availability)
- Insurance defenses that are common in California
- Timing and documentation after the incident
For example, fatal crashes and pedestrian incidents near high-activity areas can involve rapidly changing information—dashcam data overwritten, nearby surveillance not retained, or witnesses who are difficult to locate later. An AI calculator can’t account for whether those pieces exist or how they will be interpreted by adjusters.


