Case Study: WhyHow achieves 30% higher source accuracy and earlier litigation detection with Exa

WhyHow improves source accuracy by 30% with Exa

WhyHow, a litigation intelligence company, faced the challenge of building an engine to identify early signals of legal issues across millions of web pages daily. Their obstacle was that traditional keyword search missed critical documents and niche forums containing weak signals for potential class action lawsuits. They turned to Exa's search API to overcome these technical infrastructure gaps.

Exa implemented its neural search API, which uses semantic, meaning-based search to find relevant pages across the web. This solution allowed WhyHow to process millions of pages daily and integrate the results with their legal reasoning agents. The outcome was a 30% higher accuracy in sourcing data compared to other tools, enabling WhyHow to identify potential litigation opportunities years earlier than traditional methods.

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