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Primal
When Your Legal AI Hedges, It's Not Being Thorough: It's Failing Silently
Legal AI systems that don't resolve ambiguous terms like "interest" or "security" score 27% lower on reliability, and nearly 5 points lower on the highest-stakes questions, according to our new evaluation framework.
Primal

July 15, 2026

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Primal Labs
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval
Explore a conceptual framework that bridges dense and sparse retrieval for breakthrough search techniques.
Jimmy Lin

September 12, 2024
Primal Labs
The Simplest Thing That Can Possibly Work: Pseudo-Relevance Feedback Using Text Classification
Discover how a simple approach to pseudo-relevance feedback outperforms complex models in search.
Jimmy Lin

September 12, 2024
Primal Labs
Introducing Primal Assistants: A framework for software agents
Explore how Primal’s software agent automatically delivers content that is tailored to your unique interests.
Primal

September 6, 2024
Primal Labs
How Small Data Helps Understand Individuals in Real Time
Is big data always the right approach for gleaning insights about individual customers interests?
Primal

September 5, 2024
Primal Labs
Why the Web Needs Automating
Technology was supposed to revolutionize our lives with robotic servants and 20-hour work weeks. So what happened along the way?
Primal

September 5, 2024
Primal Labs
Your Next AI Project – Should You Build, Buy or Partner?
There’s no question that you need to be planning for AI projects. But what approach should you take?
Primal

September 4, 2024

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