Case Study: Relativity builds AI-powered legal search experiences with Elastic and Azure OpenAI

Relativity aims to cut investigations from months to hours with Elastic

Relativity, a leading eDiscovery and legal search technology company, faced the challenge of data explosion from heterogeneous sources, which rendered traditional keyword search ineffective for legal investigations. They needed a next-generation search experience capable of handling vast amounts of structured and unstructured data while ensuring high relevance and accuracy for its RelativityOne platform on Microsoft Azure.

The vendor Elastic implemented its Elasticsearch Relevance Engine (ESRE) to provide a vector database, hybrid scoring, and integration with Azure OpenAI. This solution allows Relativity to move beyond keyword search to an AI-powered experience that understands natural language and leverages large language models. The measurable impact is a dramatic reduction in investigation time, with Elastic enabling what might have taken customers months to be accomplished in hours.

Relativity