AI for Data Management (and How it Can Help Cull the Data for eDiscovery) – and Understanding AI Models

Given the complex nature of AI and the fact that these models are not transparent, the speaker shared best tips on what do you need to know about your AI model, who built it and what is it based on? Questions the moderator asked the speaker: 1) What is and what is not AI? 2) What are AI models? 3) If you are using a pre-generated AI model what are some questions to ask: - what is it based on? - do you know how the model was trained? - is there any data in the model that may cause the model to provide you with unexpected results? etc 4) How can AI help with managing your data? IE: it can be a tool to help move redundant copies of docs from your data universe; it can summarize info in a document and know where to ‘file’ it or categorize it (info gov idea here) 5) Is generative AI useful in a legal document review setting? Discuss 6) Is this technology going to be similar to how blockchain never really caught on in legal? 7) Can natural language processing help uncover information in your data set that would be missed by pure keyword searches?  (which some lawyers believe is the gold standard of search) 8) What about emotional intelligence / sentiment analysis? Moderator: @Monique Sever - Litigation Support and eDiscovery Supervisor, Harper Grey LLP Speaker: @Jay Leib - Chief Strategy & Innovation Officer, Reveal Brainspace Recorded on 08-10-2023 #LitigationSupportoreDiscovery #PracticeManagementandPracticeSupport #FutureandEmergingTechnologies