Case Study: WhyHow achieves earlier litigation detection with Exa

Powering litigation intelligence with semantic search

The customer, WhyHow, is a litigation intelligence company that faced the challenge of building an engine to identify early legal issues at scale. Their brittle keyword searches and existing technical infrastructure were insufficient for detecting weak signals across millions of web pages daily. They partnered with vendor Exa to overcome these obstacles.

The solution implemented used Exa's search API to power an AI-powered intelligence engine that understands semantic meaning rather than relying on keywords. This allowed WhyHow to process millions of pages for real-time legal monitoring. The results included a 30% higher accuracy in finding correct source data and the ability to identify potential litigation cases years earlier than traditional methods.

WhyHow

Chia Jeng Yang

Co-Founder