Practical Applications and Pitfalls of Artificial Intelligence (AI) in eDiscovery: TAR & Beyond
A Guide for the Boutique Firm Handling Document Intensive Matters
The promise of high utility applications in the eDiscovery space, particularly AI, has opened up new possibilities and fueled expectations about the speed, accuracy and efficiency of performing evidentiary review. Firms already using AI are perceived as the innovators, leading the charge but is the hype real? In short, there are absolutely benefits to bringing AI applications into your practice but doing so requires understanding the technology’s potential as well as its limitations. When real-world data sets are introduced, things can quickly go awry without oversight and quality control. With the right implementation, however, the boutique firm can utilize AI to leverage resources and, even with a small staff, outperform larger adversaries.
Agenda
The AI Landscape
Pitfalls of AI
Effective Applications of AI in eDiscovery
Entity Detection
PII Detection
Machine Language Detection
Machine Transcription
Sentiment Analysis
TAR
This website uses cookies to ensure you get the best experience on our website. Read More RejectAccept
Privacy & Cookies Policy
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
