AI tools typically work like this: you enter basic details, and the tool outputs a rough range. The problem is that Albany-area cases rarely fit neat averages.
Common reasons an automated estimate can miss the mark include:
- Crash and causation complexity (e.g., speed, roadway conditions, medical deterioration after an initial injury)
- Disputed fault (multiple vehicles, cross-claims, or competing accounts)
- Policy and coverage issues (which party is insured, whether a policy limits exposure)
- Proof gaps (missing scene documentation, delayed records, or incomplete witness information)
In other words, the biggest drivers of recovery aren’t “math.” They’re the evidence, the timing, and how a claim is framed for negotiation—or litigation if needed.


