The workflow combines AI-assisted organization with physician judgment so the final output stays fast, usable, and clinically grounded.
Case type, jurisdiction, stage of litigation, and primary allegation.
Examples: L&D notes, fetal monitoring strips, neonatal records, MRI reports, follow-up records.
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 used as a support layer. It does not replace physician judgment.
Cases are reviewed with attention to the three core questions attorneys need answered early:
Liability: Is there support for a viable liability theory based on the materials provided?
Causation: Does the medical record support the alleged mechanism of injury?
Damages: Do the injuries appear substantial and litigation-worthy?
Deliverables are designed for intake and strategy decisions, not
lengthy academic prose.
Concise report with category-based assessment, confidence level, and next-step recommendation.
Longer memo for files that appear promising but require more nuance 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, surgical records when present.
The screening assessment is based on currently available materials and may change if new records become available.
