Many AI tools return a range based on simplified inputs (diagnosis label, symptom duration, and broad categories of damages). That can be misleading for West Covina residents because local case facts often influence the evidence:
- Commute and intersection collisions: After a rear-end or lane-change crash, symptoms can be disputed—especially when imaging is unclear or symptoms appear later.
- Pedestrian and parking-lot injuries: In shopping and transit-adjacent areas, falls and head impacts may involve surveillance footage and maintenance records that need to be requested quickly.
- Worksite incidents: Industrial and warehouse employment can mean missed shifts, altered job duties, and documentation gaps if supervisors control incident reporting.
An AI output can’t reliably account for these real-world variables—especially when California insurers look closely at causation, consistency, and functional impact.


