Medical-records analysis pipeline.

The medical-records pipeline is the substrate the rest of the PI workflow runs on. JustineAI ingests every record — PDFs, scans, structured EHR exports — OCRs where necessary, structures the content into a chronological event stream, and indexes the indexable artefacts (provider names, diagnoses, procedures, prescriptions, imaging studies, billing) for retrieval. The attorney works against the structured chronology, not the raw stack of PDFs.

What the platform actually does.

1. 01

   Vision route routes scanned and image-bearing records through a dedicated vision model for OCR and structural extraction.

2. 02

   Chronology assembles events from across providers into a single ordered timeline with provider-attribution maintained.

3. 03

   Duplicate-record detection collapses redundant submissions while preserving the source provenance.

4. 04

   Per-matter index supports natural-language queries against the chronology and the underlying records.

5. 05

   Retention policy: records remain within the matter’s instance boundary; they are never used as training data for any reasoner.