DISCO has unveiled what it calls the legal industry’s first scaled agentic AI solution designed specifically for fact investigation and eDiscovery. At the same time, the company continues to push beyond conventional automation by embedding autonomous reasoning directly into its litigation technology platform.
More importantly, this release represents a major upgrade to DISCO’s existing AI-powered tools rather than a standalone product. The enhancement adds a multi-step, self-directed reasoning engine to Cecilia Q&A, enabling the system to analyze massive datasets with greater depth, precision, and context. As a result, legal teams can move faster—not just to evidence, but to the most relevant and strategically significant evidence at the earliest stages of an investigation.
Unlike many narrow AI tools that focus on isolated legal tasks, DISCO positions this capability as a fundamental shift in how litigation work is performed at scale. “While much of the industry is focused on narrow agentic AI applications for tasks like contract review or brief writing, DISCO is transforming the way legal work is done by applying agentic power at scale to the world’s largest and most complex legal matters,” said Eric Friedrichsen, CEO of DISCO.
He further emphasized that the technology goes far beyond basic automation. “Our agentic Q&A tool brings deeper analysis, recognizes next-level, highly nuanced connections and offers the potential to transform reviews from a tick-the-box exercise into a critical part of litigation case strategy. This is more than just an AI plug-in. It’s purpose-built technology for a new and better way to approach fact investigation and document review.”
From a technical perspective, DISCO built its new agentic capabilities on a cloud-native architecture that maintains the platform’s strict security and privacy standards. This design ensures suitability for complex, high-stakes legal environments involving millions of documents and terabytes of data—settings that traditional AI tools often struggle to handle. The company plans to make the tool widely available later this year at no additional cost to existing customers.
Equally important, DISCO will continue to support the technology with specialized teams of AI engineers, eDiscovery professionals, and litigation experts. This hybrid approach—combining advanced automation with human expertise—aims to help legal teams extract maximum value from the platform while reducing risk and operational friction.
Reinforcing this point, Richard Crum, Chief Product, Technology and Strategy Officer at DISCO, cautioned against the growing number of generic AI tools entering the legal market. “Every week the market is flooded with new AI products claiming to automate some general aspect of legal practice. The reality is that most miss the mark on large, complex workflows and the specific needs of today’s litigators,” he said.
He added that truly enterprise-ready legal AI requires years of infrastructure investment and domain expertise. “Building scaled and secure solutions capable of handling real-world use cases of millions of documents and many terabytes of data requires significant infrastructure and expertise – developed over years – that we’re putting in the hands of our customers with our agentic solution.”
Overall, DISCO’s announcement signals a new era in legal technology—one where agentic AI moves from experimental use cases to mission-critical litigation workflows at enterprise scale.
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