AI tools typically use inputs like injury severity, age, and future care needs to generate a rough range. That can mirror what people expect from catastrophic cases: spinal injuries often involve long-term treatment, therapy, mobility equipment, and caregiver support.
What AI tools often can’t see—especially in cases common around Lake Tahoe—is how specific facts change valuation, such as:
- How the injury happened (rear-end collisions, multi-vehicle wrecks, pedestrian impacts, or falls)
- When symptoms appeared and whether early medical notes accurately reflected neurological findings
- Whether liability is contested (for example, disputes over speed, lane position, visibility, or road conditions)
- Whether the record supports future needs with medical documentation and a care plan
The result: two people with the same general diagnosis can end up with very different outcomes depending on the proof.


