Tech Intersect #204: Using Predictive Coding to Revolutionize Legal Research with Jim Sullivan

Tech Intersect™ with Prof Tonya M. Evans

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If you ask someone if they want to use predictive coding they may decline, but if you ask them if they want an easy way to prioritize relevant documents they’ll likely say yes. Like most technological advancements, the misunderstanding of what it is and how it can be used discourages people from adopting it. Jim Sullivan joins me today to share how eDiscovery AI provides the solution to increase efficiency in legal research and case preparation. This week, episode 204 of the Tech Intersect™ Podcast is about using predictive coding to revolutionize legal research.

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Jim Sullivan is the Visionary Founder of eDiscovery AI. With over a decade of experience consulting on predictive coding and analytics use, he has a passion for analytics and calculates recall and precision metrics in his sleep. His life is a non-stop adventure of trying to find better ways to solve problems.

Topics Jim and I go over in this episode include:

• eDisvovery AI uses predictive coding to train algorithms to sort documents by relevancy.
• Adoption of new technology is a slow process that begins with education and carries into planning and strategizing the implementation.
• AI is not a tool to be used blindly, it still requires fact-checking and human touch, especially when used in law.
• Thorough testing and human review are necessary to identify and mitigate risks and biases associated with AI tools.

Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me! And don’t forget to follow, rate, and review the podcast and tell me your key takeaways!

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Kapitel

1. Using Predictive Coding to Revolutionize Legal Research with Jim Sullivan (00:00:00)

2. Predictive coding is AI-powered tech that auto-reviews documents, reducing costs, speeding up review, and improving accuracy. (00:04:46)

3. The technology has evolved since 2010, with the introduction of continuous active learning and generative AI. (00:08:33)

4. The path to widespread adoption of these tools will be shorter than previous technological advancements in the legal field. (00:14:52)

5. Lawyers should start small with AI tools and gain experience before using them on high-stakes cases. (00:20:48)

6. There are potential biases in AI-generated content, particularly when relying solely on AI output without human review or vetting. (00:26:54)

7. eDiscovery AI plans to expand into other areas such as data breaches and solving other significant problems in the legal industry. (00:32:50)