Law Commons^™

The Rise Of Artificial Intelligence In The Legal Field: Where We Are And Where We Are Going, Sergio David Becerra

The Journal of Business, Entrepreneurship & the Law

The twenty-first century has brought significant technological advancement that permeates all aspects of our lives. The legal field, though slow in the adaption of this technology, is beginning to pick up the pace. Artificial Intelligence (AI) technology is used now to perform legal work once completed solely by legal practitioners. This Comment outlines what AI is and reviews the current use of AI in the legal field. It also identifies AI products and developments that are in place. Finally, it argues that lawyers will always be needed in the practice of law, despite the continued growth of AI.

Calling An End To Culling: Predictive Coding And The New Federal Rules Of Civil Procedure, Stephanie Serhan

Law Student Publications

This paper examines the impact of the most recent amendments to the Federal Rules of Civil Procedure on the current split between courts about whether predictive coding should be applied at the outset or to a set of keyword-culled documents. Since the new Rules explicitly implement the concept of proportionality and a new set of standards in Rule 26, I argue that applying predictive coding at the outset is more compliant with the Federal Rules of Civil Procedure. Part II will explain the difference in timing between applying predictive coding after keyword culling or prior to it, and discuss the …

Predicitive Coding: The New E-Discovery, Emmanuel Alvarez

Cornell Law School J.D. Student Research Papers

Predictive coding is currently the most efficient and cost effective method for electronic discovery. Predictive coding combines a good balance of human and computer components to continuously provide a set of seed documents to better assist and find conceptual relevance between potential discovery documents. The organization and method of topic categories reduces the costs for litigation overall. However, the continuous reasonableness standard used by the courts must still be met. With the more elaborate predictive coding, the court and small firms may have difficulty in judging whether the process was reasonable. This may cause potential hurdles, or even potentially changing …

Machine Learning And Law, Harry Surden

Publications

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …

Predictive Coding: Emergin Questions And Concerns, Charles Yablon, Nick Landsman-Roos

South Carolina Law Review

No abstract provided.

Man Versus Machine Review: The Showdown Between Hordes Of Discovery Lawyers And A Computer-Utilizing Predictive-Coding Technology, Nicholas Barry

Vanderbilt Journal of Entertainment & Technology Law

The discovery process is regularly capturing millions of pages of documents. Electronic storage is making storing documents cheaper and easier. When litigation begins, however, sorting through this massive amount of electronically stored information is costly and time intensive. Keyword searches are a start to managing the growing amount of electronic documents, but the discovery process is still falling behind in efficiency. Predictive coding could change all that.

Predictive coding is capable of solving the time-intensive nature (and resultant growing cost) of processing discovery documents. Predictive coding is faster, cheaper, and more accurate than traditional linear document review, the current "gold …