Legal technology company targets complex litigation workflows with new legal AI platform for lawyers handling high-volume discovery
Legal News | Legal Technology | AI in Law
DISCO has announced a new scaled agentic AI tool designed to assist lawyers with large-scale discovery and fact investigation matters, marking a significant expansion of artificial intelligence capabilities in modern legal technology platforms.
The company said the new legal AI system extends its Cecilia platform and aims to help legal teams manage complex litigation workflows involving massive document collections, regulatory investigations, and enterprise-level law matters.
The move highlights how legal technology providers are shifting from single-task automation toward full-workflow AI systems designed specifically for lawyers handling complex litigation.
What DISCO’s New Legal AI Tool Means for Lawyers
According to DISCO, the new agentic AI capability is designed to autonomously break down complex legal questions into multi-step analysis workflows. Instead of requiring lawyers to manually query datasets document by document, the system analyzes large volumes of discovery material and identifies key factual connections.
For law firms and in-house legal teams, the company positions the technology as a way to:
accelerate early case assessment improve fact investigation speed reduce manual discovery review burdens support large investigations involving millions of documents
Legal technology analysts say the announcement reflects a broader industry trend toward AI-driven litigation support systems that function as investigative assistants rather than simple drafting tools.
Scaled Agentic AI Signals Shift in Legal Technology Strategy
The introduction of scaled agentic AI represents a new phase in legal technology innovation. Early generative AI tools focused largely on document drafting and research tasks. Newer systems aim to automate complex reasoning across entire legal workflows.
For lawyers working on multidistrict litigation, complex commercial disputes, and regulatory enforcement matters, the promise of agentic AI lies in its ability to synthesize facts across enormous discovery datasets.
Legal technology observers note that automation at this scale could reshape litigation strategy development, potentially allowing legal teams to evaluate case strengths and weaknesses earlier in the law process.
Security and Accuracy Remain Top Concerns in Legal AI Adoption
Despite growing enthusiasm for AI in law, lawyers and legal departments continue to emphasize data privacy, accuracy, and defensibility when evaluating legal technology platforms.
Security concerns remain one of the largest barriers to adoption of generative AI tools in legal practice, particularly in discovery matters involving sensitive corporate and regulatory information.
Vendors entering the legal AI market are increasingly focused on enterprise-grade cloud infrastructure, auditability, and explainable AI workflows to address judicial scrutiny and compliance obligations.
DISCO’s Cecilia Platform and the Competitive Legal Technology Market
The new capabilities expand DISCO’s Cecilia AI platform, which already includes automated document review and AI-driven legal analysis tools. The company has positioned Cecilia as a core product for enterprise litigation teams seeking to modernize discovery workflows.
The broader legal technology market is experiencing rapid competition as vendors race to integrate advanced AI features into e-discovery platforms. Traditional providers and emerging legal AI startups are competing to deliver end-to-end solutions that combine discovery, investigation, and analysis into a single legal workflow environment.
For lawyers evaluating technology investments, the result is an increasingly crowded legal tech landscape promising automation across the entire litigation lifecycle.
Legal Industry Outlook: AI as a Litigation Workflow Engine
DISCO said the new scaled agentic AI functionality is expected to become available later in 2026 within its existing legal technology platform.
Industry analysts say the success of agentic AI tools will ultimately depend on real-world performance in complex law matters, judicial acceptance, and demonstrable cost savings for legal teams.
Still, the announcement underscores a growing consensus across the legal industry: artificial intelligence is evolving from a drafting assistant into a core operational layer for law firms and corporate legal departments handling high-volume discovery and investigation work.
As legal AI capabilities continue to expand, lawyers may soon rely on autonomous systems not just for research or drafting, but for managing the most complex fact-development processes in modern litigation.