CASE STUDY Manufacturing | United States
Transforming Compliance Oversight In A Leading Manufacturing Company
Client Need
The company, a top three manufacturer within its industry, faced significant challenges in monitoring communications for antitrust risks, especially among its executive team. Their manual processes were inefficient at identifying non-compliant language in communications, including emails and chats, which could lead to severe legal repercussions.
Client Solutions
LitLingo implemented its full suite of products—Insight, Review, and Prevent—to the executive team over 30 days. While the deployment began in April, we set up the integration to look back to January, which included over 35,000 emails and chats. In the first week of use, LitLingo’s AI-powered antitrust models flagged a critical communication between two senior executives, signaling a high-risk antitrust issue. This message was accurately highlighted with LitLingo’s base antitrust models before completing the specific company, market, and product tuning we perform for all our customers.
Why Epiq
This case study demonstrates how LitLingo's technology, particularly the "Prevent" module, transformed the company's compliance capabilities. After successfully integrating and tuning our models, we detected and prevented numerous high-risk communications from being sent by executives, proactively avoiding potential violations. This not only mitigated immediate risks but also enhanced their compliance program to align with the Department of Justice's updated standards for evaluating corporate compliance programs. Reflecting their satisfaction and confidence in the value provided, the company increased its spend by 33% at the next renewal date. Our partnership continues to evolve as we provide the next-generation compliance oversight necessary for real-time monitoring and prevention, ensuring the company meets and exceeds regulatory expectations.
Results and Benefits
Immediate Detection Within days of implementation, our antitrust models detected a significant compliance issue in top-level communication, which traditional monitoring methods would have missed.
Prompt Response The detection led to immediate and extensive internal reviews by the compliance and legal teams, culminating in the involvement of external counsel.
Customization and Tuning Post-detection, LitLingo's models were further customized to the specific jargon, product lines, and competitors relevant to the company, enhancing the precision and reducing the number of false positives.