ARTICLE
15 September 2023

Using AI To Predict How Judges Will Rule

FL
Foley & Lardner
Contributor
Foley & Lardner LLP looks beyond the law to focus on the constantly evolving demands facing our clients and their industries. With over 1,100 lawyers in 24 offices across the United States, Mexico, Europe and Asia, Foley approaches client service by first understanding our clients’ priorities, objectives and challenges. We work hard to understand our clients’ issues and forge long-term relationships with them to help achieve successful outcomes and solve their legal issues through practical business advice and cutting-edge legal insight. Our clients view us as trusted business advisors because we understand that great legal service is only valuable if it is relevant, practical and beneficial to their businesses.
According to a recent article on Axios, an AI-powered database called Pre/Dicta is helping lawyers and plaintiffs predict how judges will rule in civil cases. The database uses around 120 data points to look...
United States Technology
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According to a recent article on Axios, an AI-powered database called Pre/Dicta is helping lawyers and plaintiffs predict how judges will rule in civil cases. The database uses around 120 data points to look for patterns in a judge's past decisions and potential areas of bias. These data points include where the judge went to law school, what their net worth is, how they rule when the lawyers are from big law firms versus boutique practices, and the judges' history in public law, private practice, and state judgeships. The CEO of Pre/Dicta, Dan Rabinowitz, claims that his AI model can now predict how a judge will rule with 86% accuracy — without even considering the facts of the case. The system claims to have reached 81% accuracy for predicting the decisions of new judges.

AI tools like Pre/Dicta have the potential to reshape which cases are funded and make it to court. Widespread use of AI predictions could reduce the number of cases taken to court — especially by plaintiff attorneys working on commission. That might reduce court backlogs while also shifting disputes to alternative resolution forums. However, it's important to note that the database covers state and federal civil litigation cases but is not intended to predict the outcomes of criminal cases and jury trials.

The article also highlights that most debate about AI's impact on the legal profession has focused on how the research work of lawyers and paralegals will be changed by AI, potentially upending the billable hours model of law firms — or how judges can be educated about various uses of AI. Court filings are matters of public record, providing a critical mass of data for AI analysis.

AI tools like Pre/Dicta could revolutionize the legal profession by providing insights into how judges are likely to rule in civil cases. However, it's important to remember that AI predictions are not infallible and should be used as a supplement rather than a replacement for human judgment.

An AI-powered database that draws on the biographical details and decision history of judges to predict how they will rule is helping lawyers and plaintiffs decide how to invest their time and resources in civil cases.

www.axios.com/...

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ARTICLE
15 September 2023

Using AI To Predict How Judges Will Rule

United States Technology
Contributor
Foley & Lardner LLP looks beyond the law to focus on the constantly evolving demands facing our clients and their industries. With over 1,100 lawyers in 24 offices across the United States, Mexico, Europe and Asia, Foley approaches client service by first understanding our clients’ priorities, objectives and challenges. We work hard to understand our clients’ issues and forge long-term relationships with them to help achieve successful outcomes and solve their legal issues through practical business advice and cutting-edge legal insight. Our clients view us as trusted business advisors because we understand that great legal service is only valuable if it is relevant, practical and beneficial to their businesses.
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