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How StoneTurn Accelerates Fact-Finding by 75% with Reveal AI

"Reveal's AI capabilities have transformed our approach to analyzing large volumes of disparate information. Our investigative teams get to critical documents and synthesize relevant information faster, saving our clients valuable time and money."

David Holley
Partner

83% faster

In identifying key individuals’ job titles

75–85% faster

In uncovering and mapping third-party relationships

40–50% reduction

In the number of documents that need to be manually read, delivered through contextual AI summaries

Improved data control

By reducing reliance on external vendors

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The Problem: Manual Processes Caused Delays in Fast-Moving Disputes

As a global professional services firm operating at the intersection of compliance, litigation, disputes, and investigations, StoneTurn routinely supports clients through complex regulatory inquiries and legal proceedings. That work requires sifting quickly through large volumes of email, documents, and other communications to uncover the facts that matter most.

Historically, StoneTurn's internal teams faced a major hurdle: they had no dedicated eDiscovery or document review platform. They worked through early-stage investigations with manual searches on shared drives, a painstaking hunt through PDFs, emails, and raw files with limited technology support.

"We were sifting through documents, databases, and shared drives through manual searches and review. It was not a scalable solution."

— David Holley, Partner, StoneTurn

As investigations grew in scope and complexity, StoneTurn escalated matters to third-party vendors, who handled hosting, processing, and review workflows.

Key Challenges

  • No internal eDiscovery tool; manual review processes
  • Dependence on outside vendors
  • Limited control over their own data
  • High cost of external reviews

The solution: Reveal AI cuts to the facts intuitively and with low effort

With Reveal and particularly its Search & Analysis capability, StoneTurn shifted to a model where investigations are both centralized and AI-assisted. Search & Analysis is built to understand how users naturally think and phrase questions, offering flexible search through natural language when keywords alone aren't enough. When a new case comes in, instead of wrestling with search syntax, investigators simply ask questions and receive real-time summaries backed by citations and direct links to the source material.

Search & Analysis not only highlights relevant documents and conversations but also surfaces patterns and connections between individuals and topics that traditional searches would have missed. Beyond speed and accuracy, it gave StoneTurn full control over the investigative process. Where they once relied on outside vendors for early case assessment and targeted document pulls, those processes are now handled in house.

That internal ownership translated into more than operational efficiency. It brought faster turnaround, tighter control over sensitive data, and greater consistency across project timelines. The capabilities behind these gains are deeply interconnected, and each played a critical role in delivering measurable results:

  • Natural-language queries provided instant answers without search syntax, handling complex questions with minimal training.
  • AI-powered narrative summaries gave clear, concise context that helped reviewers grasp key facts fast, reducing the need to analyze each document individually.
  • Source linking and citation enabled fast, accurate fact-checking by connecting every answer directly to the original documents and excerpts.

The results of using Reveal AI

Time savings

  • 83% faster identifying key individuals' job titles (from about 30 minutes to about 5 per person)
  • 75–85% faster uncovering and mapping third-party relationships (from over an hour to about 15 minutes)
  • 40–50% fewer documents needing manual analysis, through contextual AI summaries

Cost savings

  • Reduced external vendor usage: early case assessment, document triage, and focused reviews are now performed internally
  • A significant drop in third-party hosting and review costs, especially on smaller or rapid-turnaround matters
  • More efficient use of internal resources, letting teams handle more matters concurrently without overloading the team

Conclusion: a strategic shift from vendor reliance to in-house excellence

With Reveal AI, StoneTurn gets ahead of fast-moving investigations, understanding complex, voluminous data more quickly, identifying key facts with Search & Analysis, and reducing the need for outside help. With faster response times, lower costs, and deeper insight, StoneTurn didn't just adopt a tool; they transformed their capabilities to deliver greater value to their clients.

Attain optimal, AI-driven eDiscovery with Reveal