AI tools typically use simplified inputs and pattern-matching. In Lake Forest, the facts that usually matter most—how the crash happened, what the impact did to the spine, and what symptoms followed—aren’t always captured in generic questionnaires.
For example:
- A rear-end collision on a commute route may trigger an injury that isn’t fully obvious at first.
- A slip, trip, or fall in a retail or office setting can lead to delayed neurological findings.
- Evidence may be complicated by traffic footage gaps, multiple lanes, or witness uncertainty.
When those details are missing, AI estimates can understate or overstate damages because they can’t read imaging, neurological exams, or the functional limitations that drive future care.


