Scranton has its own risk profile: heavy commuting routes, winter driving conditions, frequent construction activity, and busy city centers where pedestrians share space with vehicles.
When those factors are part of the story, AI-style estimates can miss key realities, such as:
- Who had the duty of care (municipal entities, employers, contractors, property owners, drivers, or other parties)
- Whether fault is likely to be disputed (for example, speed, lane position, supervision, maintenance, or safety compliance)
- How Pennsylvania courts and juries may view causation—what directly led to death vs. what happened after the incident
- Whether there are multiple potential defendants (common in chain-reaction crashes, third-party workplace injuries, or complex premises incidents)
The result: the “range” from an AI tool may look reasonable at first, but it often can’t reflect the evidence strength that determines what insurers will offer.


