Many AI tools work by taking your inputs and matching them to simplified damage categories. That can be helpful for understanding the types of losses that may matter. It’s less reliable when real-world facts don’t fit neat categories.
In Elmira, cases often involve issues like:
- Delayed follow-up after an initial visit or test result
- Complications that unfold over time, making early summaries incomplete
- Work and caregiving disruption (including shifts, family responsibilities, and transportation challenges)
- Documentation gaps—records may be spread across multiple providers or facilities
If the tool doesn’t get the timeline right, the number it produces can look confident while being based on assumptions that won’t hold up in negotiation.


