The Future of NLP in Government Systems: How Users Will Work, Think, and Decide in the Next Decade
Government agencies are entering a new era of information management. The volume, complexity, and velocity of documents continue to grow...
Blog
Security & Compliance at Scale: Protecting Sensitive Data in a National‑Scale NLP System
When you operate a national‑scale NLP system that processes 20M+ pages per day of sensitive medical and legal information, security...
Scalability and Cost Efficiency: Delivering National‑Scale NLP on Commodity Hardware
When people hear that we process 20M+ pages per day, support 20,000+ users, and render documents that exceed 10,000 pages,...
Operational Controls and Observability: Knowing the Right Numbers at All Times
Running an NLP system at national scale isn’t just about throughput or clever architecture. It’s about visibility. It’s about knowing...
Examiner‑Facing Delivery at Scale: Rendering 10,000‑Page Documents for 20,000+ Users with NodeJS, React, and Docker
In earlier articles, we covered how structured data, modeling, and retrieval work together to produce grounded, citation‑rich summaries. This article...
SOLR and Selective Retrieval at Scale: Full‑Document Indexing for User Search and LLM Summaries
In the previous article, we explored Decision Support — the stage where structured data, modeling, and LLM‑based summarization converge. This...
Decision Support at Scale: How Structured Data, Modeling, and LLM Summaries Work Together
In the previous article, we focused on cTAKES and the engineering work required to make clinical NLP viable on large,...
cTAKES at Production Scale: Data Modeling, Performance, and Operational Practices
This piece is a focused, technical deep dive on how we adapted and optimized cTAKES for national deployments. It covers...
Engineering for Scale: How Our Pipeline Runs 20M+ Pages a Day on Commodity Hardware
A technical overview of the architecture, engineering choices, and operational controls that make a nationally deployed medical evidence system reliable,...
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