Buford is shaped by commuting routes, highway traffic, and frequent merges—conditions where rear-end impacts, lane-change collisions, and multi-vehicle crashes are common. In those situations, insurers may challenge causation and argue that the injury was pre-existing, minor at first, or not tied to the crash.
AI tools typically don’t see the things that matter most in these disputes, such as:
- the first documented neurological findings (strength, sensation, reflexes)
- whether imaging and clinical notes align with the reported onset of symptoms
- whether follow-up visits show a consistent deterioration or improvement pattern
- how quickly emergency care was sought after the event
So while an AI estimate may spit out a range, it can’t reliably account for the “real-world credibility” factors insurers use when deciding whether to offer fair value.


