Array Unifies Legal AI, Aiming to Reshape Litigation Strategy

AUSTIN, TX – March 03, 2026 – Legal technology company Array today announced the launch of Array Intelligence, a unified suite of AI-driven tools designed to manage the entire litigation lifecycle. The move signals a significant push to consolidate fragmented legal technologies into a single, cohesive system, potentially setting a new benchmark for how law firms and corporate legal departments handle complex disputes.

Array Intelligence brings the company’s proprietary automation, analytics, and AI workflows under one roof. The suite is structured around three core pillars: Platform Intelligence, for data management and processing; Review Intelligence, for AI-assisted document analysis; and Testimony Intelligence, for converting depositions and hearings into searchable data. This integrated model aims to connect what have traditionally been siloed stages of litigation—from eDiscovery and document review to court reporting—into a seamless and more efficient process.

Beyond Productivity: A Unified Strategic Platform

While the legal tech market is crowded with powerful AI tools from competitors like Relativity, DISCO, and Everlaw, many focus on specific tasks within the litigation process. Array's strategic bet is on unification, arguing that connecting every stage provides an advantage that isolated features cannot match.

“We’ve invested heavily in proprietary automation and carefully selected best-in-class technology partners, and now we’re unifying those capabilities into a more connected model,” said Thadd Hale, Chief Executive Officer at Array, in the company's announcement. “When data flows seamlessly from ingestion to review to testimony, AI becomes more than a productivity tool — it becomes a strategic advantage. That’s where this industry is going.”

This philosophy challenges the prevailing model of using multiple, often incompatible, software solutions for eDiscovery, case management, and trial preparation. By creating a single pipeline, Array Intelligence aims to eliminate data transfer bottlenecks, reduce the risk of errors, and provide a holistic view of a case in real time. Dashboards offer visibility into costs, data usage, and case activity, allowing legal teams to manage budgets and resources more effectively.

The 'Responsible AI' Mandate in a High-Stakes Field

Array is pointedly positioning itself as a leader in “responsible AI,” a term that carries significant weight in the legal profession. As firms increasingly adopt AI, they face mounting pressure from bar associations and regulators to uphold ethical duties of competence, confidentiality, and supervision.

Guidelines from the American Bar Association and state bars in California, Florida, and New York stress that lawyers are ultimately responsible for the accuracy and confidentiality of their work, even when using AI. This includes protecting client data from being used to train third-party models, verifying AI-generated content to avoid “hallucinations,” and ensuring fairness by mitigating algorithmic bias.

Array’s emphasis on transparency, defensibility, and human oversight appears designed to address these precise concerns. The company’s Chief Technology Officer, Cory Flynn, noted that the goal is practical innovation that supports, rather than supplants, legal professionals.

“Our focus has always been practical innovation — technology that strengthens legal judgment rather than replacing it,” Flynn stated. This “human-in-the-loop” approach is critical for building trust. In practice, it means that while AI can prioritize and summarize millions of documents, a human lawyer must have the final say, with a clear and defensible audit trail of how decisions were made. This is essential not only for ethical compliance but for withstanding scrutiny in court.

From Data Ingestion to Deposition Insights

The practical benefits of a unified system like Array Intelligence are most evident in its specific capabilities. The suite is designed to accelerate workflows at every stage of a dispute.

Under the Platform Intelligence pillar, the system automates the often-laborious tasks of uploading, processing, and archiving vast amounts of data. By streamlining data ingestion, legal teams can begin analysis faster and with greater consistency.

Review Intelligence tackles one of the most costly aspects of litigation: document review. The AI is designed to analyze and prioritize documents, flagging the most relevant or privileged materials for human attorneys. It can also generate summaries, allowing lawyers to quickly grasp the content of large document sets without reading each one from start to finish. This not only saves time and money but can also enhance accuracy by reducing human fatigue and error.

Perhaps most innovative is the Testimony Intelligence pillar. Traditionally, converting deposition transcripts into usable insights is a manual, time-consuming process. Array claims its technology can transform transcripts and hearing recordings into a searchable, analyzable database within minutes. This allows legal teams to quickly identify key statements, track witness testimony across multiple depositions, and prepare for trial with a deeper understanding of the evidence.

Reshaping the Modern Legal Workflow

The introduction of comprehensive AI platforms like Array Intelligence is set to accelerate the transformation of the legal profession. By automating routine tasks, these tools are shifting the focus of legal work from volume management to strategic analysis. Lawyers are freed from the drudgery of manual document searches and can instead dedicate their expertise to building case strategy, counseling clients, and making complex judgments.

This technological shift is also altering staffing needs and skill sets within law firms and corporate legal departments. There is a growing demand for legal professionals who are not only skilled in the law but are also adept at using and interrogating technology. New roles, such as legal engineers and legal data analysts, are emerging to bridge the gap between law and data science.

Furthermore, integrated platforms can help level the playing field. By driving down the cost of handling data-intensive litigation, smaller firms can more effectively compete with larger, better-resourced rivals. For corporate clients, this translates into more predictable pricing and greater efficiency from their outside counsel. As the volume and complexity of digital data continue to explode, the ability to harness AI in a unified, strategic, and responsible manner may soon become the defining characteristic of a modern, competitive legal practice.