Relativity, a company renowned in the realm of e-discovery technology, has officially launched aiR for Case Strategy, a product leveraging generative AI to expedite case narrative development by automating the extraction of facts, constructing chronologies, and generating strategic work products from evidence. This tool, now generally available, functions within the RelativityOne platform, presenting a spectrum of advantages for legal teams, including the auto-extraction of key facts, visualization of fact chronologies, and streamlined preparation for depositions. These features collectively enable users to swiftly create summaries of documents, witnesses, and transcripts.
During its limited general availability phase, aiR for Case Strategy was tested by over 50 customers who extracted approximately 600,000 facts through the platform. Reports from early users indicate a reduction in time spent gathering facts by up to 70% compared to manual processes. Legal practitioners like Michael Song of Gilbert + Tobin and Martha Louks from McDermott Will & Emery have lauded the tool for its ability to allow case teams to identify the underlying narrative of evidence much earlier in the process and significantly diminish the manual labor typically required to extract facts and build timelines.
An integral feature of aiR for Case Strategy is its generative AI engine, designed to retrieve high-quality, nuanced facts at scale from document sets. The process begins with users outlining a fact-extraction prompt, which includes an overview of the case, objectives, and relevant issues. The system processes up to 5,000 documents per job, and extracts primary fact dates, fact names, related issues, and more, ensuring each extracted fact links back to the source document’s specific text, reinforcing the output’s authenticity.
The product also addresses concerns regarding AI bias by tagging each extracted fact as “harmful” or “helpful” to the user’s case theory. This approach ensures that potential adverse evidence surfaces alongside supportive facts, promoting a balanced analysis. Furthermore, aiR for Case Strategy includes robust deduplication capabilities, crucial for managing multiple or similar facts across various documents. A noteworthy enhancement is its timeline visualization feature, which offers chronological visual representation, helping legal teams to identify gaps or blind spots in the evidence.
Beyond purely fact extraction, aiR for Case Strategy aids in compiling comprehensive witness summaries and deposition outlines, providing deep dives into key individuals involved and furnishing methods for organizing facts and documents by issue. The software is engineered to be a starting point for legal teams, offering a foundation upon which lawyers can apply their expertise and prepare effectively for depositions or investigations.
The platform has seen impactful applications, such as within financial service litigation handled by Page One, Inc. The outcomes demonstrated a significant reduction in review time, enhancing efficiency and confidence in the AI-driven insights provided. Anticipated enhancements include enhanced conflict detection capabilities in the upcoming years, which will further aid users in identifying inconsistencies across testimonies or documents.
aiR for Case Strategy is available across various global markets, including the U.S., U.K., Australia, and many more. For those seeking a more interactive understanding, Relativity will feature a webinar demonstration on February 19, 2026. More detailed insights can be found in the complete announcement.