AI tools typically use generic assumptions—like typical injury categories, standard treatment timelines, and broad wage-loss formulas. That can be helpful for understanding components of damages, but it often misses the details that drive outcomes in Clifton, such as:
- Intersection and turning-crash patterns (left-turn attempts, sudden lane changes, failure to yield)
- Commute-related wage pressure (injury timing around work schedules and missed shifts)
- Roadway conditions and visibility (weather, lighting, and how the crash happened at speed)
- Documentation quality (whether your records clearly connect the crash to symptoms)
In New Jersey, insurers scrutinize both causation (whether the accident caused your injuries) and comparative fault (whether you share responsibility). A calculator can’t reliably weigh those case-specific issues the way a lawyer can after reviewing police reports, medical documentation, and evidence.


