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The volume of electronic information that has been creating risks in e-discovery for more than a decade is ripe for renewed attention in the era of artificial intelligence (AI) and advanced analytics. Just as advanced tools now play a role in mining data for use in business pursuits, they can also be used to mitigate what in the past has plagued those charged with meeting litigation and investigation e-discovery needs.
Artificial and augmented intelligence — embodied in tools that ostensibly make judgements previously made by humans — offer analytical capabilities that can help differentiate data and speed identification of responsive and key information — at least in theory. In this roundtable discussion these experts share their experience and insight on the evolving acceptance and use of AI and advanced analytics tools for e-discovery — and beyond:
Q1. Given the rapid pace of technological change, there is a growing sense that professionals in the legal realm — wed to precedent and often change-resistant — should jump on the technology bandwagon in order to better serve their clients. What changes, if any, are you seeing in your daily practice?
KR: I believe it is essential that legal professionals jump on the "technology bandwagon," not only to better serve their clients, but to ensure compliance with emerging requirements of the rules of professional conduct in many jurisdictions. In 2015, the ABA added this as an express requirement for attorneys within its Model Rules of Professional Conduct and increasingly, individual jurisdictions are mandating that lawyers be competent in technology (or associate with someone who is) as part of their ethical obligations.
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