#EDRM's #Analytics and Machine Learning Project Group 4-#Demythigator Team has February's #AI Myth #2 out today!
Kaylee Walstad
Connector of People. Community Evangelist. People. Partners. Makes Things Happen. Community Builder.
Out Today from EDRM's Analytics and Machine Learning Project Group 4-Demythigator Team - Myth #2
The #Demythigator Project is designed to dispel myths about artificial intelligence (“AI”), analytics and machine learning as applied to legal challenges. The Demythigator Project’s goal is to start a discussion in the eDiscovery community to begin to take these myths head on with help from a friendly but fearless Demythigator!
Dear Demythigator: Will using AI/Machine Learning replace my entire review team? *How many times have we heard this?!?*
Demythigator’s response: Artificial Intelligence (AI) and Machine Learning (ML) are designed to augment what review teams can do, not replace them entirely.?Review is still required in AI/ML workflows, but is focused on data more likely to be relevant so that less time is spent reviewing non-relevant information. AI/ML can help the review team find relevant data faster by having the review team review the most relevant data first, as compared to a traditional linear review.?AI/ML can often even help the review team find potentially relevant data with more speed than custodial, date, or keyword-based prioritizations that are sometimes employed to expedite linear review.?By design, AI/ML typically reduces (sometimes quite considerably) the amount of time the review team spends reviewing non-relevant data. This allows the review team to re-allocate review resources to higher value-added tasks such as case strategy or further fact development or additional types of investigatory review.
We'd love to hear from you, email us at [email protected] or comment below, all thoughts are welcomed! What myths do you hear or what concerns you about #AI #ML?
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