By Sachin Mohan · AIM Media House
DISCO, a leader in AI-powered legal technology, has announced the launch of the industry's first scaled agentic AI tool designed specifically for fact investigation and electronic discovery (eDiscovery).
This move is basically an enhancement to the company’s existing Cecilia Q&A platform, introducing an autonomous, multi-step reasoning engine capable of navigating large-scale legal matters.
Unlike previous iterations of legal AI that often struggled with volume, this new tool is explicitly architected to handle environments containing millions of documents and terabytes of data.
While traditional generative AI tools can summarize distinct documents or answer simple queries, DISCO’s new agentic capability employs multi-step reasoning to autonomously navigate complex datasets.
It does not merely retrieve information, it reasons through problems, connects disparate pieces of evidence, and returns detailed, thorough results even when queried against massive data repositories.
This development stands in stark contrast to many current legal AI tools, which are frequently limited to narrower, bounded tasks such as contract review or brief writing. DISCO’s approach targets fact investigation across entire case files.
"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 DISCO CEO Eric Friedrichsen .
Friedrichsen also said that this technology is designed to transform document review from a "tick-the-box exercise into a critical part of litigation case strategy," allowing legal teams to identify crucial narratives and evidence patterns far earlier in the litigation lifecycle.
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