Case Study: Lowenstein Sandler accelerates early case insights with Relativity aiR for Review

Lowenstein Sandler cuts email review by 27% and narrows key documents to 4% with Relativity

Lowenstein Sandler faced a tight deadline to understand a complex 25,000-document data set, a common challenge involving large volumes of noisy and duplicative information. Their goal was to identify key players and insights to shape case strategy, but a traditional linear review was too slow to meet partner and client needs. The law firm turned to Relativity, specifically using RelativityOne Analytics and Relativity aiR for Review, to accelerate this process without sacrificing accuracy.

Relativity's solution involved using Analytics for email threading and clustering to reduce the data set by 27% and 24%, respectively. Applying Relativity aiR for Review then isolated the most critical documents. After iterative prompting, aiR pinpointed a key set representing just 4% of the total data, allowing associates to shift from manual review to legal analysis. The result was a dramatic reduction in review hours, giving partners early confidence in the evidence and enabling more informed strategic decisions for the client.

Lowenstein Sandler