One benchmark matter processed across 77 PDFs in 15 minutes.
Medical record analysis software for litigation teams
Turn medical records into cited chronologies, billing summaries, codes, and case answers.
Paralegal Genius helps plaintiff firms, defense teams, and hospital legal departments turn large record sets into work your team can review in minutes. Every extraction links back to the exact source page, so your team can verify anything before using it.
Your team gets speed without losing the ability to check a key fact right away.
Use a live matter, inspect the citations, and decide from the work product itself.
What medical record analysis includes
See what your team can review.
These workflows matter because they give your team a structured first pass instead of another free-form summary.
What teams need first
A chronology, billing support, extracted codes, and case-level answers that already point back to the source page.
- Chronology for timeline and treatment review
- Billing and codes for damages and reconciliation work
- Ask PG for case-level orientation across the record set
See chronology, billing summaries, medical codes, and Ask PG.
Shoulder pain, reduced ROM, imaging ordered and linked to the source page.
Provider, diagnosis, and treatment event added to the timeline with direct traceability.
Charge and adjustment captured for damages review without manual re-entry.
This is what matters: a structured first pass the reviewer can check quickly, not a polished answer they still have to rebuild.
Before the workflow
Teams read, transcribe, format, and re-check the same case facts while flipping between scattered PDFs.
That is why a single chronology can take hours before attorney review even starts.
After the workflow
The team starts from a cited first pass, reviews the structure, and only drills into the source where it matters.
That saves time on record-heavy matters without removing human judgment.
How it works
A workflow built for legal teams.
This should feel like a repeatable system for medical records, not another chatbot experiment.
Upload the record set
Add medical records, billing records, and deposition PDFs into a case workspace.
Run extraction and analysis
Paralegal Genius extracts events, billing data, codes, and question-answer context across the documents.
Verify every output
Every fact ties back to a source page so the reviewer can check it instantly.
Export usable work product
Take the chronology, billing summary, codes, and cited answers into the rest of the litigation workflow.
Citations and verification
Medical record analysis only matters if the output is reviewable.
Generic AI can sound confident. Litigation teams need work they can check. Paralegal Genius is built around links back to the source page, which makes the output faster to review, correct, and trust.
Buyer standard
“If I cannot click back to the page quickly, I still have the same review problem.”
Every extracted fact links back to the source.
The reviewer can check a diagnosis, date, charge, or code without flipping manually through hundreds of pages.
Errors are visible faster.
When a citation does not support the claim, the problem is obvious immediately instead of after downstream work has already been done.
The legal team stays in control.
Paralegal Genius speeds up extraction and organization. Attorneys and paralegals still make the legal judgment.
Security and controls
Built for sensitive records, not casual file uploads.
Medical record analysis in litigation comes with privacy, review, and procurement concerns. The product needs to clear those concerns before buyers will use it on real matters.
Why this matters in buying decisions
Firms do not want another consumer AI tool with weak controls. They want a system built for work they can check, controlled access, and records they can stand behind.
Next step
Use one real matter to see whether the workflow holds up.
That is the fastest way to judge medical record analysis software for your team: one record set, one output package, and a direct review of the citations, structure, and speed.
Best next reading: Proof and Sample Output, Source-Grounded AI, and Security.