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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

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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

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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

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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

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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

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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

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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

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September 4, 2024

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