Case Study: Nyman Turkish boosts document processing productivity by 12x with Foundation AI

A Foundation AI Case Study

Preview of the Nyman Turkish Case Study

One of the Nation’s Largest Injury Firms, Nyman Turkish, Increases Document Processing Productivity by More than 12x with Foundation AI

Nyman Turkish, a leading injury litigation firm, faced a significant challenge in processing its immense volume of incoming case documents. The manual system of sorting, classifying, and filing each document was time-consuming, labor-intensive, and prone to errors that could lead to malpractice risks. As the firm grew, it became difficult to retain staff for this tedious work, leading to backlogs and an overloaded 12-person mailroom team.

Nyman Turkish implemented the Foundation AI Platform to automate its document intake. The solution uses AI to automatically match documents to the correct case, classify them, and save them into the practice management system, Litify. With Foundation AI, the firm achieved a 12x increase in productivity, processing all documents same-day. The mailroom team was reduced from 12 to just 2 people, allowing experienced staff to be reassigned to higher-value casework, while also eliminating human error and mitigating malpractice risk.


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Nyman Turkish

Jason Turkish

Managing Partner


Foundation AI

13 Case Studies