LawNext

Ep 255: Is Gen AI the New Paradigm for Technology Assisted Review in E-Discovery? Three Redgrave Scientists Discuss

Aug 6, 2024

In this enlightening discussion, Redgrave Data scientists Dave Lewis, Lenora Gray, and Jeremy Pickens dive into the evolving role of generative AI in e-discovery. With over three decades of collective experience, they explore generative AI's potential to enhance document review processes. The trio debates whether this technology is a replacement for traditional methods or an advantageous supplement. They also touch on precision and recall, ethical implications, and the transformative impact on legal workflows, showcasing the future of AI in the legal industry.

40:11

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Redgrave Scientists

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Quick takeaways

Generative AI is emerging as a promising alternative to traditional supervised machine learning in technology-assisted review for e-discovery.

The integration of generative AI in legal workflows could enhance efficiency but necessitates robust frameworks to address ethical concerns and accuracy.

Deep dives

The Shift from Supervised Learning to Generative AI

The implementation of generative AI in eDiscovery is gaining traction as firms explore its capabilities as a substitute for traditional supervised machine learning techniques in technology-assisted review. Historically, AI in eDiscovery has operated through supervised machine learning, focusing on classifying documents based on pre-trained models. However, generative AI offers a new method of classification by creating tailored responses based on prompts, thus streamlining document review processes. This transition could reshape the way legal professionals approach document discovery, potentially reducing the adversarial nature of technology disputes in court.

Prioritize Recall Over Precision

00:42

Intro

3min

The Evolution of AI in eDiscovery

12min

Understanding Precision, Recall, and Prompt Iterations in Generative AI for E-Discovery

5min

Exploring Generative AI's Role in E-Discovery

3min

Generative AI in E-Discovery: Transforming Legal Review

17min

For at least two decades, artificial intelligence has been used in e-discovery to help surface and prioritize review of potentially responsive documents from large document collections. But while technology-assisted review (TAR) has traditionally been driven by AI in the form of supervised machine learning, some vendors and e-discovery professionals are starting to experiment with the use of generative AI in its place.

So how effective is generative AI for document review in e-discovery? Is it a replacement for traditional TAR or a supplement? Are there other ways in which this rapidly evolving technology can be used in discovery?

On this week’s LawNext, we are discussing the application of generative AI in e-discovery. To do so, host Bob Ambrogi is joined by three computer and data scientists from Redgrave Data, a consulting firm that specializes in e-discovery and data science. Today’s guests are:

Dave Lewis, chief scientific officer, who has over three decades of experience in AI and statistics.
Lenora Gray, data scientist, who has worked for more than 15 years in law firm project management and matter support roles.
Jeremy Pickens, head of applied science, a pioneer in the fields of collaborative exploratory search and technology assisted review.

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LawNext

Ep 255: Is Gen AI the New Paradigm for Technology Assisted Review in E-Discovery? Three Redgrave Scientists Discuss

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

The Shift from Supervised Learning to Generative AI

The Evolution of Technology-Assisted Review Paradigms

Challenges in Adoption and Evaluation of Generative AI

Future Applications and Ethical Considerations of Generative AI

Prioritize Recall Over Precision

Remember Everything You Learn from Podcasts