Episode Summary: Machine learning can seem mysterious and difficult to conceptualize in the ediscovery context. In this episode, we’ll discuss concrete examples of how the notoriously risk-averse legal world is embracing machine learning to significantly improve efficiency, particularly in getting to relevant data more quickly and easily.
Sara has spent her entire career in the legal technology industry. Prior to joining Walmart, she worked as an ediscovery subject-matter expert, project manager, and consultant for both KPMG and EY. During that time, she managed litigation and investigation casework for Fortune 100 clients as well as advised on corporate ediscovery program best practices. In her current role, she oversees a large team of ediscovery professionals that support a global portfolio, provides direction on analytics-driven case workflows, and drives cross-discipline information governance initiatives. Her professional experiences have afforded her with opportunities to work on complex cases, tackle high-volume ESI challenges, and travel the globe.
In addition to her degrees in Management Information Systems and Criminal Justice from the University of Georgia, she holds several industry certifications including Certified Fraud Examiner, Project Management Professional, Information Governance Professional, Relativity Certified Administrator, and Brainspace Certified Analyst.
The podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance.