After a fatal crash or incident, families naturally want certainty. AI tools may suggest a potential settlement range based on inputs like age, income, and relationship.
In practice, those inputs often miss what New Haven cases hinge on:
- Rapidly changing incident evidence (dashcam overwrites, security footage retention policies, and witness memory fading).
- Local traffic and safety context—for example, whether signals, signage, lane control, or pedestrian crossings were properly maintained or timed.
- Multiple-party responsibility—a common reality in urban settings where drivers, property owners, contractors, or employers can all be in the chain.
An AI estimate may feel reassuring, but it can also create false expectations—especially when liability is disputed or causation is complex.


