The AI Agent Will See You Now: DISCO Redefines Legal Fact-Finding

AUSTIN, TX – August 13, 2026

The landscape of legal practice, long defined by meticulous human effort and mountains of paperwork, is on the cusp of a seismic shift. Legal technology company DISCO today announced the general availability of Advanced Research, a platform that moves beyond the now-familiar realm of AI assistants into the uncharted territory of autonomous AI agents. This isn't merely an upgrade; it's a fundamental reimagining of the relationship between lawyer and technology, promising to automate not just tasks, but entire workflows of reasoning and investigation.

For years, the legal field has integrated AI to summarize documents and find keywords. DISCO's new tool, however, represents a significant leap. It is an “agentic AI” application, designed to function less like a search engine and more like a tenacious junior partner—one that can think, plan, and execute complex research strategies on its own. By introducing autonomous, multi-step reasoning to the arduous process of eDiscovery, DISCO is betting that the future of litigation belongs to those who can best leverage these new digital colleagues.

From Assistant to Agent: A New Paradigm in Legal AI

To understand the significance of DISCO's launch, one must first grasp the distinction between the AI we commonly use and the agentic AI now entering the professional sphere. Most current legal AI, including many generative AI tools, are reactive. They respond to specific prompts: “summarize this document,” or “find emails containing this phrase.” They are powerful assistants, but they require constant human direction.

Agentic AI operates on a different principle: autonomy. It is given a complex objective—for instance, “investigate the timeline of events leading to the contract breach and identify key communicators”—and is empowered to achieve it. As described by DISCO, Advanced Research doesn't just run a single search. It reviews its own initial findings, critically assesses what information is missing, formulates new queries to fill those gaps, and synthesizes the results into a coherent narrative. It can distinguish between exact keywords and the broader meaning of a prompt, allowing it to uncover connections a human might miss in the initial stages of review. This shift from a reactive to a proactive model is what defines this new frontier.

“Litigators today need agentic tools that offer more than just the ability to chat with their data,” explained Devin Kani, DISCO’s Vice President of Product Management. This statement subtly reframes the entire conversation, suggesting that simple Q&A-style interactions with evidence are already becoming yesterday’s technology.

"A Supercharged Team of Associates" in Practice

The practical implications for litigators are profound. The traditional discovery process often involves a strategy of attrition, where one side attempts to overwhelm the other with a deluge of documents—a “data mountain” designed to obscure the few critical pieces of evidence within. This has long been a source of immense cost, time, and frustration for legal teams.

Advanced Research is engineered to dismantle that mountain. Previn Warren, a Member at the law firm Motley Rice, captured this sentiment powerfully. “For generations of legal practice, corporate defendants have tried to hide damning documents in a mountain of irrelevant material,” he noted. “Advanced Research is like a supercharged team of associates and should put an end to that strategy once and for all.”

This isn't hyperbole, according to early users. The platform can autonomously generate detailed memos, construct deposition outlines, and build case timelines within minutes—tasks that would typically consume many hours of a legal team's time. Chris Bateman, a Partner at Cohen Milstein, reported that the tool “has yielded significant breakthroughs for us in discovery,” adding, “I can easily see it becoming a regular part of our document review workflow.” The proof, it seems, is in the usage: during the early access period, DISCO saw customer engagement more than double, a clear indicator that the tool is not just a novelty but a powerful and practical asset.

A Strategic Gambit in a Crowded Field

DISCO is not operating in a vacuum. The legal technology market is a fiercely competitive arena, with established giants and nimble startups all vying to integrate AI into legal workflows. Competitors like Relativity, with its comprehensive RelativityOne platform and aiR features, and Reveal, with its AI-powered Reveal 11, have also made significant strides in applying AI to eDiscovery. These platforms offer sophisticated tools for predictive coding, sentiment analysis, and generative AI-powered search.

However, DISCO is making a strategic bet that its focus on “agentic” capabilities is a true differentiator. By emphasizing the platform's autonomous, deep-thinking reasoning, the company is positioning itself at the vanguard of what it considers the next wave of legal AI. Kani’s assertion that “many legacy eDiscovery providers are still a generation behind” is a direct challenge to the market, a claim that DISCO has leapfrogged incremental improvements in favor of a paradigm shift. By keeping the entire process within its own secure, cloud-native platform, it also eliminates the data security risks and workflow friction associated with exporting evidence to third-party AI tools.

The Human Verdict: Ethics and the Future of Law

As with any powerful new technology, the rise of agentic AI in law brings with it a host of complex ethical questions and long-term implications. The promise of a “supercharged team of associates” also comes with the immense responsibility of supervising them.

Accountability remains the central pillar. No matter how autonomous the AI, the professional and ethical responsibility for the accuracy of its findings, the protection of client confidentiality, and the soundness of the resulting legal strategy rests squarely on the shoulders of the human lawyer. Firms adopting these tools will need to develop rigorous protocols for verification and oversight. The risk of AI “hallucinations”—confidently delivering incorrect information—is a known issue, and in the high-stakes world of litigation, such an error could be catastrophic.

Furthermore, the potential for baked-in bias in AI systems remains a critical concern that requires constant vigilance. As these tools are trained on vast datasets of past legal documents, they risk perpetuating historical biases if not carefully designed and audited.

Ultimately, the introduction of agentic AI will not make lawyers obsolete. Instead, it will profoundly change what it means to be a lawyer. By automating the laborious and time-consuming aspects of fact-finding, these tools free up legal professionals to focus on higher-value work: crafting novel legal arguments, negotiating complex settlements, advising clients with empathy and strategic foresight, and performing in the courtroom. The future of law is not one of human versus machine, but of a new, powerful partnership where human judgment directs and refines the incredible analytical power of an AI agent.