[Webinar] Fact Finding: Top 3 Ways to Use AI & Machine Learning on Every Case

August 23rd, 12:00 pm - 1:30 pm CT
Association of Certified E-Discovery Specialists (ACEDS)
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August 23rd, 2022
12:00 PM - 1:30 PM CT

The second part in our series on practical applications of machine learning and AI on every case. We will be discussing Fact Finding uses.

About this event

Learn practical applications using machine learning & AI to aid with topics such as internal investigations, complaint creation/filing, collection augmentation, deposition prep, early case assessment and more!!

Speakers:

Top 3 Ways to Use AI & Machine Learning on Every Case: Fact Finding image

Sumera is Vice President and Assistant General Counsel at Tokio Marine HCC. Within her role, Sumera works with numerous business units across the company to respond to complex litigation and dispute matters. She uses her knowledge of litigation, technology, discovery, and data to develop efficient strategies and early case resolution. Sumera spent over ten years practicing law at an international law firm where she specialized in commercial litigation, particularly the discovery phase, and also advised clients on fact investigations related to cybersecurity incident response.

Top 3 Ways to Use AI & Machine Learning on Every Case: Fact Finding image

Dawud is the Advanced Client Data Solutions Technology and Analytics Advisor for Hogan Lovells. He provides subject matter expertise to the Firm's clients and case teams using advanced analytics strategies to identify relevant evidence in investigations, find key patterns and reduce the burden and costs associated with the review of big data. Dawud Burke has been navigating the terrain of eDiscovery for the past 19 years. He has assisted legal teams and corporate clients from both sides of the eDiscovery vendor and law firm consulting practices.

Top 3 Ways to Use AI & Machine Learning on Every Case: Fact Finding image

Charles Duff, CEDS, is a long-time eDiscovery and investigations enthusiast focusing primarily on understanding, applying, and teaching advanced AI and Machine Learning techniques and workflows at all phases of the EDRM. At Reveal-Brainspace he is responsible for helping clients understand the full power of the many forms of AI and how it can be applied to structured and unstructured data to gain insight quickly and make better, faster, and more informed decisions for their legal and investigations matters. Prior to Reveal, Charles helped create, and design the direction of, two eDiscovery platforms then spent 6 years as Senior Solutions Architect at Brainspace where he helped lead expansion in Legal, Federal, Financial, Life Sciences and Energy Enterprise markets across 5 continents.

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Association of Certified E-Discovery Specialists (ACEDS)
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