We help medical-legal firms turn thousands of pages of records into a clean medical chronology - tailored to your requirements, faster and more reliably than manual review.
Let's TalkA single case can come with thousands of pages of scanned medical records. Someone on your team reads through every page to find the fraction that matters: physician evaluations, surgical notes, treatment histories, key diagnoses. The rest is routine labs, nursing notes, and duplicates.
That review process is the bottleneck. It limits how many cases you can take, how fast you can turn them around, and how much time your experts spend on review instead of clinical judgment.
We don't replace your clinical judgment. We build systems that remove the bottleneck in front of it.
We build a system that processes thousands of pages of scanned records and extracts the clinically relevant information according to your requirements. The output is a clean, structured medical chronology where every entry traces back to the source record. Your experts review and refine it. They don't build it from scratch.
Every firm works differently. We start by understanding your workflow, then build AI systems that fit into what you already do.
We learn how records come in, what your reviewers look for, what your reports need to include, and where the manual work piles up.
We build a custom workflow and refine it case by case. You tell us what works and what doesn't. We make it better.
Once it's tuned to your standards, it runs on every case. Your team spends their time on expert analysis and report writing, not reading through records.
Caliber AI was founded by Naomi Huang, a machine learning scientist who spent six years building AI systems at Stripe and Uber across payments, dynamic pricing, and matching. She brings that same rigor to medical-legal work: systems that handle messy, real-world data and produce outputs accurate enough to rely on.
Scanned PDFs, handwritten notes, inconsistent formatting. We build for the records as they actually arrive, not clean, well-structured datasets.
Every chronology entry links back to the source page and document.
The system handles extraction and organization. Every clinical decision stays with your team.
If your team is spending more time processing records than analyzing them, we should talk.
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