A global transportation company under FCPA investigation in India needed to quickly find responsive documents and key evidence for its defense. Lighthouse applied a hybrid approach of machine learning and linguistic modeling to filter out irrelevant references and focus on India-specific content. From 4M documents, they reduced the set to 250K with precision and recall rates above 85%, saving $1.7M. Advanced linguistic searches uncovered 810 key documents across seven themes in just three weeks, giving outside counsel critical evidence while cutting review time and costs significantly and delivering unprecedented accuracy and efficiency.

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