AI tools can be useful for organizing facts, but they can also create false certainty. A model might generate a range based on generic patterns—without knowing what Washington insurers typically emphasize, such as:
- whether your symptoms were documented early and consistently
- whether medical providers linked your complaints to the incident
- whether your treatment plan matched your reported functional limits
- whether there are gaps in care that need explanation
In a community like Arlington—where people frequently commute for work and rely on daily routines—those gaps can become a major dispute point. If you missed follow-ups, delayed treatment, or returned to work too soon without medical support, defense arguments often center on causation and severity.
Bottom line: treat AI estimates as a checklist, not a valuation.


