Guides & Resources
7 min read
AI in Medical Record Retrieval: What It Does for Law Firms
Where AI genuinely changes a law firm's records workflow, where it changes nothing, and what to verify before believing a retrieval vendor's AI claim.
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Nandan Vernekar
CTO at LlamaLab
Nandan Vernekar is CTO at LlamaLab. He has 25 years in software architecture and delivery, including solutions architecture roles in the UK and certifications in Azure, Scrum, and TOGAF. He writes about the systems behind same-day retrieval, OCR, and making the full medical record available to models without losing fidelity.
Software ArchitectureMedical OCRRetrieval AutomationCloud InfrastructureClinical Data Systems
Connect on LinkedInArticles by Nandan Vernekar
4 articles
Technology
5 min read
Stop Curating Medical Data. Start Making It Available.
Schema-first extraction was opinion encoded as infrastructure. The engineering that matters now is fidelity: guaranteeing the model sees the full record, structured so it can reason through it.
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Product & Features
6 min read
How LlamaLab Retrieves Medical Records in 4 Days
Records come back in 4 days on average, and 30 to 40% come back the same day. Same-day is a share, not a guarantee, and some states run faster.
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Product & Features
6 min read
Inside LlamaLab's Medical OCR: Text Extraction and Layout Recognition
How domain-trained neural networks and layout analysis achieve high accuracy on handwritten clinical notes, medical tables, and multi-generation faxes.
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