CASE STUDY Manufacturing | United States
Manufacturing Giant Cuts Investigation Time By 83% With Litlingo
Client Need
- Our Fortune 100 customer was struggling with an antiquated and inefficient auditing process for employee communications. Periodically, the compliance team manually reviewed a sample of emails based on keyword searches. This approach was slow, missed key risks, and could not scale. Shortly before we met, they completed an audit involving a dataset of over 500,000 emails to audit. After applying keywords, they sampled 8.73%, and over the next 45 days, they manually reviewed 47,108 emails. It was clear they needed a modern solution to transform auditing capabilities and properly oversee employee communications for compliance risks.
Client Solutions
- LitLingo provided our customer’s compliance team with a direct comparison reviewing the same 500,000 messages. The solution integrated directly with email systems within minutes to analyze 100% of communications. After overlaying our antitrust NLP models, LitLingo reduced emails requiring review from over 500,000 to 9,142 communications in the first hour of the investigation. Furthermore, LitLingo prioritized 233 of those 9,142 messages as higher-risk or most likely to contain violations.
Why Epiq
- With its previous manual auditing process, our customer struggled to efficiently and effectively oversee employee communications. Outdated keyword searches resulted in thousands of false positive results and failed to uncover serious compliance violations
- By adopting LitLingo’s AI-powered communications monitoring solution, they transformed their auditing capabilities overnight. LitLingo’s natural language processing models analyzed communications with nuance to identify high-risk incidents while virtually eliminating false positives. Moreover, with rapid review turnaround and heightened accuracy, LitLingo empowered our customer to uncover critical issues early and take corrective action to reduce risk.
- Our partnership continues to grow as LitLingo provides the next-generation auditing platform they desperately needed, and today they are proactively detecting and preventing harmful communications in real-time with LitLingo. Today they have industry-leading communications oversight scalable for their continued growth.
Results and Benefits
Communication review was decreased from 45 days to 2-7 days (6x faster).
NLP models uncovered additional violations missed during manual review.
Precision targeting reduced false positives by 83%.