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    Unlocking the Power of A.I. in eDiscovery [CC]

    Unlocking the Power of A.I. in eDiscovery [CC]
    CLE 60 min

    Unlocking the Power of A.I. in eDiscovery [CC]

    In an age where information overload is the norm, harnessing Artificial Intelligence technologies can be the game-changer your eDiscovery needs. Join industry eDiscovery industry experts George Socha and Rose J. Jones as they delve into the cutting-edge realm of leveraging A.I. in the legal practice of eDiscovery.

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    Closed Captioned.

    Today, more than ever, legal teams rely on evidence that includes electronically stored information (ESI). The concept of finding and working with ESI is what most of us know as "eDiscovery." But have you ever considered that A.I. can actually have an important role to play in your eDiscovery practice?

    Explore A.I. Types: In this CLE, we'll be diving into the realm of GenAI, supervised and unsupervised learning (including entity extraction, sentiment analysis, and concept clustering), TAR (Technology Assisted Review), transcription, and image classification. We'll take a look at each A.I. type and its potential impact on eDiscovery processes.

    Unlocking Multimodal Power: Discover the enhanced value of multimodal AI utilization. Learn how combining different AI types can amplify insights, streamline workflows, and uncover hidden patterns within vast datasets. From deciphering complex timelines to identifying key individuals, explore the practical benefits of multimodal AI in eDiscovery.

    Learning Objectives:

    • Types of AI: Gain clarity on the diverse array of AI technologies available for eDiscovery and understand their respective functionalities.
    • Practical Applications: Uncover actionable insights into what AI can accomplish in eDiscovery, from unraveling case details to drafting responses to discovery requests.
    • Implementation Strategies: Learn how to effectively integrate AI into your eDiscovery workflow, maximizing efficiency and accuracy

    Product Details

    Product Code

    EP2405LAIOLC

    Duration

    60

    Publication Date

    5/14/2024 12:00:00 AM

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