AI-assisted organization plus physician judgment. The output stays fast, usable, and clinically grounded.
Case type, jurisdiction, stage of litigation, the primary allegation, and any deadline driving the review.
L&D notes, fetal monitoring strips, neonatal records, imaging, and follow-up records - whatever exists.
Critical missing materials are flagged before physician review begins.
Chronology generation
Problem list and issue extraction
Labor and neonatal timeline summary
Initial missing-record list
AI is a support layer. It does not replace physician judgment.
Cases are reviewed against the three questions attorneys need answered early:
Liability: Is there support for a viable liability theory in the materials provided?
Causation: Does the medical record support the alleged mechanism and timing of injury?
Damages: Are the injuries substantial enough to carry the case?
Deliverables are built for intake and strategy decisions, not academic prose.
A concise report with a category-based assessment, a confidence level, and a recommended next step.
A longer memo for files that look promising but need more work before formal expert retention.
L&D records, fetal monitoring strips, cord gases, NICU records, EEG, MRI, placental pathology, neurology notes, developmental follow-up.
Delivery note, shoulder dystocia documentation, newborn exam, therapy records, specialty follow-up, and surgical records when present.
The screening assessment is based on the materials available at review and may change as new records come in.
