One pipeline, from scanned paper to cited evidence.
AngelMedLegal is a complete medical-record review workspace: ingest the records as they arrive, repair the scans, extract what matters, and work through a single chronological case file where every fact links back to its source.
What happens to a case after you upload it.
Each stage is resumable and cached, so re-uploading a corrected file never re-runs the whole case.
Ingest the case, however it arrives
Chunked, resumable uploads up to 10 GB. Drop in a ZIP of a full case and it is unpacked with safety controls. Re-upload a corrected set and change detection reconciles it against what’s already there, with automatic file versioning and lineage throughout.
Repair the source before reading it
Pages are de-rotated, reordered, checked for blanks and missing scans, and re-OCR’d where the original text layer is poor or absent. Extraction only ever runs against the cleanest possible version of the record.
Extract across every relevant domain
Token-aware chunking tracks the page behind every passage. Full-record structured extraction then runs across 17 clinical, narrative and legal domains — grounded, schema-strict, and resumable at the chunk level with entity-scoped caching.
Merge into one chronological case view
Findings are merged at the encounter level and deduplicated across providers into a single timeline — so a medication, a diagnosis and an imaging result from three different facilities line up on one date.
Review, question, and cite
Work the case with a grounded assistant and full-text OCR search, add sticky-note annotations, and run PDF audit and comparison. Open any extracted fact and land on the exact source page behind it.
Capabilities already in the product.
Not a roadmap. These are live in the platform now.
Chunked, resumable uploads
Up to 10 GB per case, interrupted and resumed without starting over.
File versioning & lineage
Every file tracked across revisions, with a clear history of what changed.
ZIP case ingestion
Whole-case archives unpacked with safety controls, ready to process.
Incremental re-upload
Change detection reconciles corrected records against the existing case.
Page-level OCR & scan repair
De-rotation, reordering, blank detection and re-OCR of defective scans.
Token-aware chunking
Content split for extraction while tracking the page behind every passage.
Extraction across 17 domains
Full-record structured extraction spanning clinical, narrative and legal data.
Chunk-level resumability
Entity-scoped caching means a re-run picks up exactly where it left off.
Encounter-level merge
Deduplicated into one unified, chronological case view across providers.
Grounded AI assistant
Ask the record questions and get answers anchored to cited passages.
Full-text OCR search
Search the entire case by text, across every page and provider.
Annotations & PDF compare
Sticky-note annotations plus PDF audit and version comparison.
Role-based workspaces present the right view and controls to legal and medical reviewers.
Seventeen domains, three lenses on the same record.
Clinical detail, the narrative story, and the legal questions — extracted together, each entity carrying its own citation.
Clinical
Narrative
Legal
Provenance on every entity
Each extracted item carries document and page references and renders as a link to the exact source page.
A platform built to evolve without disruption.
Clean service boundaries
The AI layer sits behind narrow, well-defined interfaces, so the models and services behind it can advance without changing how the product behaves for your team.
Enterprise cloud foundation
The platform runs on a dedicated, isolated cloud environment with encryption, scoped access and audit built into the design — not added after the fact.
Tested and documented
Backend behavior is held to enforced test coverage and backed by thorough internal technical documentation, so the product stays dependable as it grows.
Walk through the platform on a real case.
We’ll run one of your matters through the full pipeline and show you the cited output.