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Array Intelligence: Bringing Clarity, Control, and Defensibility to Modern Litigation

| April 9, 2026

 

The Problem: More Data, More Pressure, Less Clarity

If you work in litigation today, you already understand the pressures.

Data volumes continue to grow—spanning email, collaboration platforms, mobile devices, cloud repositories, and rich media. Timelines are shorter, expectations are higher, and a rapid wave of AI innovation promises efficiency while often introducing new operational and legal uncertainty.

The question is no longer whether generative AI tools exist; it is whether it can be applied in a transparent, defensible manner that aligns with how legal teams operate.

Too often, teams are forced to integrate disconnected tools and handoffs, creating fragmented workflows that slow execution, increase risk, and make it difficult to maintain consistency across a matter.

Modern litigation does not require more tools; it requires a more integrated approach that connects intelligence across the entire lifecycle.

That’s why we recently announced a new ecosystem developed to modernize litigation: Array Intelligence.

Introducing Array Intelligence: A Connected Framework, Not Another Tool

Array Intelligence is not a single product or point solution. It is a unified, AI-driven framework that connects every phase of litigation—from data ingestion to review to testimony—into a coordinated, end-to-end system.

At its core, Array Intelligence operationalizes years of innovation across automation, analytics, and AI-enabled workflows within a single, structured approach. Rather than requiring legal teams to manage disconnected systems, it establishes continuity across the lifecycle—reducing friction, improving visibility, and strengthening outcomes.

The framework is built on three integrated pillars: Platform Intelligence, Review Intelligence, and Testimony Intelligence.

Each pillar addresses a critical phase of litigation, but the real value comes from how they work together.

Platform Intelligence: Control and Transparency from Day One

The foundation of any eDiscovery case is determined by the underlying data. If the initial phases of data collection and processing are hampered by intake delays, fragmented sources, or restricted visibility, subsequent operations tend to experience reduced efficiency, increased costs, and greater challenges in justification.

Platform Intelligence is designed to remove that friction from the outset.

It gives legal teams:

  • Direct control over data ingestion, processing, and administration  
  • Real-time visibility into matter activity, costs, and progress  
  • Confidence that data is complete, organized, and defensible from the start  

 

Solutions such as Acumen and LinkSync illustrate this approach by enabling self-service workflows, preserving relationships across modern cloud content, and providing dashboards that surface operational insight across matters—not only within them.

The result is simple: faster starts, fewer bottlenecks, and better decision-making from the outset.

Review Intelligence: Smarter, Faster, Defensible Decisions

If Platform Intelligence is about control, Review Intelligence is about decision-making.

Document review remains the most resource-intensive and risk-sensitive phase of litigation. It’s where cost, accuracy, privilege, and timelines all collide.

Industry conversations frequently highlight the rapid deployment of AI workflows. Our priority, however, is responsible acceleration.

Review Intelligence combines generative AI, traditional predictive coding (TAR), and human expertise into adaptable workflows tailored to each matter. There is no one-size-fits-all model—because cases, risk profiles, and objectives vary.

What does this look like in practice?

  • Using generative AI to identify patterns and prioritize data early  
  • Leveraging continuous active learning (CAL) for defensible, court-tested workflows  
  • Applying hybrid models where AI accelerates review, but legal experts validate outcomes  

  

This methodology can substantially enhance review efficiency while maintaining appropriate legal supervision. For instance, one scenario demonstrated a reduction in review hours by almost fifty percent; another showed that predictive modeling removed the necessity for manual review on a large portion of the data, without compromising defensibility.  

This is the balance legal teams are looking for: efficiency without sacrificing trust.

Testimony Intelligence: Turning Transcripts into Strategy

Historically, testimony has been one of the most manual and delayed parts of litigation.

Transcripts may arrive days—or even weeks—after proceedings. Key insights surface late, and preparation becomes reactive rather than strategic.

Testimony Intelligence changes that.

By applying AI and advanced technologies to depositions and hearings, legal teams can:

  • Access transcripts, video, and exhibits in near real time  
  • Search and analyze testimony during proceedings  
  • Generate summaries and identify key themes immediately  
  • Compare testimony across witnesses and sessions  

 

The objective is not to replace court reporters or undermine the integrity of the record. It is to make testimony more accessible and actionable—transforming it from a static artifact into a dynamic, searchable strategic asset.

When insight is available in real time, legal teams can prepare better, act faster, and build stronger case strategies.

The Bigger Shift: From Fragmentation to Continuous Intelligence

What makes Array Intelligence different is not any single capability. It’s the connection between them.

In traditional workflows, each phase of litigation operates independently:

  • Data is collected
  • Data is processed and normalized
  • Review begins later
  • Collecting and analyzing testimony happens separately

 

This fragmentation creates delays, duplication, and limited visibility.

Array Intelligence introduces what we refer to as a litigation intelligence loop.

  • Insights generated during data ingestion inform review.
  • Insights from managed review carry forward into testimony.
  • Testimony analysis feeds back into case strategy.

 

Instead of starting over at each phase, intelligence builds continuously.

For clients, that means:

  • Faster decision-making
  • Reduced duplication of effort
  • Greater cost control
  • Stronger, more informed case strategies

 

Responsible AI: Built for the Realities of Legal Work

There is no shortage of AI claims in today’s market, and legal teams are right to be cautious.

They need technology that is: 

  • Explainable – so decisions can be defended  
  • Secure – so sensitive data is protected  
  • Reliable – so it works under real-world pressure  
  • Transparent – so outputs can be trusted  

 

Array Intelligence was designed with these requirements as foundational principles.

Artificial intelligence does not replace legal judgment; rather, it serves to enhance and support it.

It helps teams move from data to insight more quickly—within a framework that prioritizes defensibility, security, and control.

A Milestone for Array, and a Shift for the Industry

Array Intelligence marks a significant milestone in Array’s journey, turning years of investment in proprietary technology into a formal offering and strengthening our reputation as a tech-focused litigation partner. More importantly, it signals where the industry is heading.

Litigation is growing increasingly complex, with data becoming more fragmented. There is a rising demand for connected and defensible intelligence.

Rather than relying on standalone tools or small enhancements, the future lies in integrated systems that comprehend and simplify the complexity of litigation.

Array Intelligence delivers exactly that—and we’re just getting started.  

 To see Array Intelligence in action, watch our From Data to Decisions: How Array Intelligence Redefines Modern Litigation launch webinar on demand. 

By Cory Flynn; Chief Technology Officer

Cory brings over 20 years of eDiscovery experience and a passion for innovation to his role as Chief Technology Officer at Array. He leads the IT and Development divisions, driving the creation of AI-enabled tools, seamless system integrations, and proprietary solutions that enhance both efficiency and security. As CTO, Cory is dedicated to building a best-in-class technology infrastructure that supports Array’s mission to deliver cutting-edge solutions to clients.  

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