Predictive Coding and Technology Assisted Review like eDiscovery itself, have become mainstream in any litigation practice. But Artificial Intelligence (AI) has a much larger tool-set which can also be used by the modern legal practice dealing with large data volumes.
Machine Learning, Natural Language Processing (NLP) and similar techniques like data- or text-mining, big data-analysis, concept search, topic modeling, clustering, audio search and machine translation are all Artificial Intelligence techniques and can be used to identify specific document categories and to search for relevant information in these documents. This infographic summarizes the key techniques and their practical applications.
Artificial intelligence in your daily business practices
Jeffrey Wolff is a Certified E-Discovery Specialist who joined ZyLAB in May 2015 and serves as Director of E-Discovery Solutions. He brought with him over 20 years of experience in Information Systems and enterprise software. He has been involved in solution architecture, design, and implementation for major projects within the Department of Defense and Fortune 1000 corporations. Prior to joining ZyLAB, Jeffrey held senior positions within firms specializing in Microsoft SharePoint and enterprise search solutions, so he has vast technical knowledge in the fundamentals of information management and eDiscovery.
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