In-Short
- Lighthouse AI introduces AI for Review to enhance eDiscovery in regulated industries.
- AI for Review utilizes predictive and generative AI for efficient document classification and review.
- The platform claims up to 40% reduction in document volume and improved accuracy over keyword-based models.
Summary of Lighthouse AI’s Impact on eDiscovery
Lighthouse AI has developed a suite called AI for Review, leveraging artificial intelligence to streamline the eDiscovery process in regulated industries such as pharmaceuticals. The suite employs a combination of predictive and generative AI, image recognition, OCR, and linguistic modeling to handle large volumes of documents efficiently and with high accuracy.
Predictive AI categorizes documents, while generative AI aids in the review process, leading to more defensible outcomes. Lighthouse AI’s linguistic modeling is said to enhance the platform’s precision beyond typical AI capabilities. Despite the recent hype around generative AI, predictive AI remains a crucial component of the software, as noted by Fernando Delgado, Director of AI and Analytics at Lighthouse.
The AI for Review suite includes features for responsive review, privilege review, privilege analysis, and identification of personally identifiable information (PII), protected health information (PHI), and payment card industry (PCI) data. Users report significant reductions in document volume and increased accuracy, with AI for Responsive Review reducing classification and summary document volume by up to 40% and AI Privilege for Review being 60% more accurate than keyword-based models.
Additionally, AI for Image Analysis uses generative AI to analyze images and generate text descriptions, integrating seamlessly with the user interface. The AI for PII/PHI/PCI Identification feature automates entity relationship mapping, reducing the need for manual reviews. Lighthouse CEO, Ron Markezich, emphasizes the suite’s ability to handle the volume, velocity, and complexity of eDiscovery challenges.
Image credit: “Basel – Roche Building 1” by corno.fulgur75, licensed under CC BY 2.0.
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