An initiative of the J. Mack Robinson College of Business supported by Georgia State’s College of Law, the Legal Analytics Lab works toward a legal system that embraces data to solve intractable problems and create a more just society. The lab brings business, legal, criminal justice, and other scholars together with data scientists to analyze millions of court records, corporate financial disclosures, contracts, patent applications, and other legal documents to identify patterns, evaluate how the law operates, and experiment with predicting future outcomes.
Lab faculty, students, and partners use the tools of data science, including natural language processing, machine and deep learning, network analysis, and other methodologies, to produce original research. They also work with strategic partners, including nonprofits, companies, and law firms, to help these organizations uncover patterns and predictors within large volumes of data.
Our lab mines corporate disclosure filings and other materials to uncover predictors of securities class action lawsuit filings and litigation outcomes.
We use text mining and machine learning to analyze judges’ decisions in cases where a worker’s status as an employee or independent contractor is in dispute.
Through a Labor Department grant, we work with the Free Law Project to expand a free searchable archive of federal court opinions.
The lab uses network mapping and analysis to understand a substantial increase in Fair Labor Standards Act litigation and its spread across jurisdictions.
We use machine learning to identify fintech patent applications and to assess their impact on the financial services industry.