In a smaller, tightly connected community, the timeline and documentation tend to be everything. Many claims hinge on questions like:
- Did the provider document symptoms and test results clearly?
- Was the follow-up scheduled and tracked properly?
- Did the patient’s condition change in a way that should have triggered escalation?
- Are there gaps between visits, pharmacy fills, imaging, and referrals?
AI estimates typically treat injuries as if they follow a predictable pattern. Real New York cases rarely do. The valuation conversation is usually driven by whether the medical record supports the causal story—not by the injury label alone.


