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    EY's E-Discovery Innovations Cut Costs and Boost Client Satisfaction

    Discover how EY's tailored e-discovery solutions and advanced technology integration are reshaping the legal landscape by reducing costs and ensuring compliance, all while enhancing operational efficiency.

    ey.com•October 1, 2026•2 min read

    Key Facts

    • EY's custom e-discovery process cut review times by 50%, enhancing client satisfaction and retention.
    • Advanced AI reduced document review efforts by 70%, highlighting tech's role in cost efficiency.
    • Zero downtime during migration ensured continuous operations, revealing strong operational resilience.
    • Tailored workflows improved accuracy, showcasing competitive advantage in complex legal environments.
    • Scalable team model allowed rapid adaptation to client needs, indicating strategic flexibility in service delivery.

    Summary

    Summary

    EY deployed advanced AI and tailored technology solutions for a client facing strict data security requirements in the legal sector. The challenge involved migrating over 100 million documents into a discovery platform without disrupting ongoing reviews. The result was a significant reduction in discovery costs and improved review efficiency, with critical materials identified within two weeks.

    Background

    The client, a major player in the legal industry, required a robust solution to manage a vast volume of documents while adhering to strict data security protocols. Prior to the deployment, the client faced challenges in document management and review processes, which were resource-intensive and time-consuming.

    Challenge

    The specific problem was the need to migrate over 100 million documents into a discovery platform while ensuring data security and maintaining continuity in active reviews. The client sought to streamline the review process and reduce associated costs.

    Solution

    EY implemented a comprehensive migration strategy that included a quality-controlled chain of custody for the documents. This involved cross-version interoperability, rigorous storage planning, and zero downtime during active reviews. They built a custom process for large file tagging and utilized technology-assisted review (TAR) to prioritize documents for human review. Additionally, they developed proprietary workflows to support large litigation and investigations, ensuring alignment with the client's legal counsel.

    Results

    The migration was completed without disruption to ongoing reviews, allowing the client to meet deadlines consistently. EY's use of advanced AI technology enabled the analysis of approximately 5.5 million items within two weeks, isolating critical materials for legal proceedings. This approach significantly reduced manual review efforts and accelerated decision-making processes.

    Key Insights

    Effective collaboration with legal counsel and the integration of advanced technology can streamline complex legal review processes. Custom workflows and AI applications not only enhance efficiency but also allow teams to focus on higher-value tasks, improving overall outcomes in legal matters.

    Customer Testimonial

    No direct quote is available from the source material.

    Entities Mentioned

    Companies

    EY

    Products

    discovery platform
    technology assisted review (TAR)
    advanced AI technology

    Technologies

    machine learning

    Key Concepts

    data security requirements
    document migration
    e-discovery
    workflow management
    AI in legal review
    cost reduction
    custom processes
    project management office (PMO)

    Definitions

    technology assisted review (TAR)
    A process that uses machine learning to identify patterns in large data sets, helping to prioritize documents for human review.
    e-discovery
    The process of identifying, collecting, and reviewing electronic data for legal cases.
    project management office (PMO)
    A structure that helps manage projects by coordinating tasks, resources, and communication among teams.
    data normalization
    The process of organizing data to reduce redundancy and improve data integrity.
    document triage
    The initial sorting and prioritization of documents for review based on relevance and importance.

    Use Cases

    • →migration of documents into a discovery platform
    • →contract cleanup using AI
    • →custom reporting processes for legal review
    • →large file tagging for faster review
    • →supporting litigation and investigations
    • →identifying trial exhibits using AI

    Frequently Asked Questions

    How does EY ensure data security during document migration?

    EY begins by understanding the client's strict data security requirements and implements processes to handle all materials in accordance with established policies, ensuring compliance throughout the migration.

    What is the role of technology assisted review (TAR) in the document review process?

    TAR helps prioritize and assess documents that require human review by using machine learning to quickly identify relevant patterns, significantly reducing the amount of manual review needed.

    How does EY's project management office (PMO) contribute to legal projects?

    The PMO structure enables EY to remain tightly coordinated, addressing tactical issues rapidly while assisting counsel in strategy and communication, which helps reduce turnaround times.

    What advantages does advanced AI technology provide in legal reviews?

    Advanced AI technology enhances review efficiency by rapidly analyzing large volumes of documents, isolating critical materials, and reducing manual review efforts, allowing clients to focus on higher-value tasks.

    What are the benefits of having tailored technology in legal processes?

    Tailored technology, such as custom processes for large file tagging, enables faster document reviews and improves overall efficiency, helping to meet tight deadlines without compromising quality.

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