Bright Labs, proudly a part of Ankura, is at the forefront of the eDiscovery industry, having contributed to some of the most significant and globally recognized eDiscovery investigations and litigations. Our eDiscovery team is renowned for its deep expertise and innovative approach, leveraging data, technology, and analytical thought to address complex client issues. We pride ourselves on a unique combination of technical skills, subject-matter expertise, and litigation technology experience, enabling us to deliver comprehensive, creative, and insightful solutions that guide our clients through the intricacies of eDiscovery challenges. The role is located in Chicago, New York, or San Francisco. There will be remote opportunity within these three locations. We are seeking an eDiscovery Associate to join our dynamic team. This role involves applying expertise in forensics, processing, production of Electronically Stored Information (ESI), predictive analytics, machine learning, eDiscovery project management, and technology consulting. Our goal is to enhance case strategies, reduce discovery costs, and optimize litigation profiles by effectively collecting, managing, and analyzing vast amounts of structured and unstructured data. Responsibilities include collaborating with clients to design efficient eDiscovery workflows, proactively identifying and mitigating risks, ensuring quality control throughout the eDiscovery lifecycle, solving technological challenges and providing cost-effective solutions, utilizing the latest advances in data science, predictive analytics, and machine learning to transform large datasets into actionable intelligence, and working with a wide range of industry-standard technologies and procedures. Qualifications include a BA/BS in MIS, Business Analytics, Computer Science, Law, Engineering, Finance, Accounting, Economics, Information Technology, or similar degree; experience with digital forensics, eDiscovery, processing, and production of ESI is a plus; interest in applying detail-oriented project management skills and cutting edge solutions involving analytics and machine learning to novel data; excellent problem-solving abilities and a proactive approach to challenges; strong communication skills and the ability to work collaboratively with clients and team members.
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