Currently, Lighthouse AI for Review includes the following use cases: 

AI for Responsive Review - As data volumes grow, scalable review is essential. Lighthouse AI for Responsive Review combines predictive AI with supervised fine-tuning to classify responsiveness while using Gen AI-driven relevance summaries and thematic coding to streamline review and QC. This approach reduces document volumes by up to 40% without sacrificing completeness. Lighthouse’s LLM-driven models require less training than traditional predictive models and provide greater consistency and an ability to adapt to scope changes than purely generative approaches, ensuring faster, more defensible results. 

AI for Privilege Review – Privilege review remains one of the most complex and time-consuming aspects of eDiscovery, a reality only exacerbated by data volume growth. By blending fine-tuned LLMs with matter-specific communication analysis Lighthouse AI for privilege review is 60% more accurate than keyword-based models. Unlike other industry standard AI, the solution does not require manual administrative set up resulting in workflows that are faster and more effective at the largest scale. For privilege logs, generative AI creates detailed, defensible descriptions that go beyond standard drop-down fields, reducing manual effort while improving clarity. 

AI for Image Analysis – In keeping with data trends, the volume of image-based data is growing rapidly and there are no good options for handling this data at scale.  AI for Image Analysis uses both predictive and generative AI to analyze image content, generate text descriptions, and cluster the descriptions in an easy to navigate UI designed to streamline review. This “human-in-the-loop” workflow enables legal teams to rapidly assess millions of images and identify those that require special handling.

AI for PII/PHI/PCI - Today's documents are becoming more complex, making it harder to find sensitive information. Predictive AI with linguistic based fine-tuning pinpoints these sensitive data types while avoiding over-inclusion of irrelevant documents. For PII requiring entity linking, generative AI automates relationship mapping, replacing traditionally tedious, error-prone manual review.