Case Study: McDonald Carano achieves 96% data reduction and expedited, predictive-coding review with Everlaw

McDonald Carano powers expedited review with predictive coding

McDonald Carano, Nevada’s premier law firm with over 60 attorneys across Reno and Las Vegas, faced slow, clunky legacy e-discovery tools that made searches, productions, and everyday review tasks time-consuming and frequently manual. Seeking state-of-the-art, scalable e-discovery software, the firm evaluated and chose the Everlaw platform for its document review, advanced analytics, and predictive coding capabilities.

Everlaw’s platform delivered rapid, intuitive review: using Everlaw instant search, date filters, and visual email threading McDonald Carano reduced the initial review corpus by 76%, and then applied Predictive Coding to cut the original data volume by 96%. Everlaw’s machine learning, Batch Coding, Pattern Redaction, and production wizard accelerated reviews, eliminated many manual tasks, and reduced hosting and processing costs—producing significant time savings, efficiency gains, and lower client fees.

McDonald Carano

Rob Sawyer

IT Director