A global healthcare company engaged Lighthouse to support an internal due diligence investigation tied to a merger, beginning with 690K documents. Using automated processing, Lighthouse cut 175K through deduplication, then eliminated another 81K with tailored culling and search term iteration. Thread suppression and proprietary review technology removed 31K more, while Continuous Active Learning TAR and advanced analytics eliminated 17K additional documents. The process reduced review volume by 90%, leaving only 15K documents for final review. This streamlined workflow saved $145K after technology costs, ensuring efficiency, accuracy, and cost control.

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