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.
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.
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:
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.
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?
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.
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:
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.
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:
This fragmentation creates delays, duplication, and limited visibility.
Array Intelligence introduces what we refer to as a litigation intelligence loop.
Instead of starting over at each phase, intelligence builds continuously.
For clients, that means:
There is no shortage of AI claims in today’s market, and legal teams are right to be cautious.
They need technology that is:
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.
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.