Legal Tech Case Study - WhyHow
Blog post from Exa
WhyHow is a San Francisco-based litigation intelligence company that utilizes advanced AI to identify emerging class action and mass-tort opportunities, significantly ahead of traditional detection methods. By employing AI agents trained on top legal strategies and Exa's semantic search API, WhyHow can detect weak signals of potential litigation cases across a $40 billion industry. This approach overcomes the limitations of brittle keyword searches and traditional web search APIs, allowing for real-time detection of critical legal risk patterns hidden in niche forums and fragmented sources. The integration of Exa's search technology with large language models enables WhyHow to transform scattered complaints and data spikes into actionable litigation intelligence, resulting in 30% higher accuracy and earlier case detection. The platform's scalable monitoring capabilities allow it to process millions of web pages daily, and the partnership with Exa aims to further expand monitoring across various practice areas and geographies, showcasing the potential of semantic search in solving complex legal challenges.
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