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In today's rapidly evolving legal landscape, the integration of Artificial Intelligence (AI) into investigation and document review processes is transforming the way legal professionals operate. AI technologies promise...more
While the use of artificial intelligence for drafting legal pleadings is a relatively new phenomenon, the deployment of artificial intelligence in pretrial discovery of electronically stored information is not. In fact, the...more
In a world where more than 2.5 quintillion bytes of data are created every day, the eDiscovery process isn’t only complex and time-consuming, but it can be extremely costly as well....more
Dear in-house Legal colleagues: Your Marketing teams are using rogue Generative Artificial Intelligence (GenAI) Tools. It’s not everyone in Marketing, but it’s not no one....more
Every week, the Array team reviews the latest news and analysis about the evolving field of eDiscovery to bring you the topics and trends you need to know. This week’s blog covers the week of January 8-14. Here’s what’s...more
Previously, I co-authored a two-part post on the advantages and disadvantages of using Technology Assisted Review (“TAR”) in E-Discovery document reviews. TAR helps attorneys during the review phase of E-Discovery by...more
By now, the story of two New York attorneys facing scrutiny for citing nonexistent cases generated by the artificial intelligence (“AI”) tool ChatGPT has made national (and international) headlines. Late last month, a federal...more
AJ Shankar, founder and CEO of EDRM Trusted Partner, Everlaw, sits down with Kaylee & Mary to talk about Everlaw Clustering, just released and included in existing cloud native Everlaw instances. From ECA to Privilege quality...more
Advances in artificial intelligence, including predictive coding and continuous machine learning, are creating opportunities to make eDiscovery more efficient and more effective. Yet, according to eDiscovery Today’s 2022...more
The recent developments in AI and machine learning across industries have convinced many that this innovation is on par with the great, transformative technologies of the past: electricity, cars, plastics, the microchip, the...more
If you want a glimpse of the future, check out how developers are using gpt-3. This natural language processor was trained on parameters ten times greater than its most sophisticated rival and can be used to answer...more