Nicole Motter (J.D. ’12) has been passionate about social change for as long as she can remember. However, after beginning her career working on the ground level in nonprofits, she became frustrated with many aspects of the nonprofit world.
Law practices are seeing emergent artificial intelligence (AI) technology beginning to change their world. It’s happening on many frontiers: web robots, or bots, aid in document search processes, sometimes analyzing millions of pages for information relevant to a proceeding. Many legal research platforms now include some form of AI technology and data analytics.
A DNA sample taken from a larger sample of mixed human DNA implicated Billy Ray Johnson in burglaries and sexual assaults. Johnson denied committing the crimes, but he received a sentence of life in prison without parole. Prosecutors based their case on results of a law enforcement tool running a sophisticated algorithm called TrueAllele.
“My entire life I swore I’d never be a lawyer, and if I did, I said I’d never do criminal defense,” said criminal defense lawyer Jason Sheffield (J.D. ’05). The former actor has been recognized by Georgia Super Lawyers for criminal defense work. He is also a law professor and author.
In the fall, the Center for Professional Development & Career Strategies implemented a mandatory eight-week Professional Development course for first-year students. In my opinion, the most important information I shared was this simple insight: relationships matter.
Data analytics will be the great disrupter and differentiator for lawyers. That is particularly true in my practice, which is mostly concentrated in complex employment litigation, primarily class and collective actions. Data about the class, the claims, the jurisdiction and the individuals who are bringing these lawsuits can be the difference between a winning case and a losing one.
This spring, after 34 years, Paul Milich, professor of law and director of Lawyering Advocacy, will teach his last Evidence class. He’s been a member of Georgia State Law’s faculty since a year after the school opened its doors. Many former students say he played an integral role in helping them become successful litigators.
Legal education and the practice of law are undergoing significant changes. Advances in artificial intelligence, machine learning, programming, high-performance computing and other forms of technology are transforming the way attorneys conduct research, evaluate cases and interact with clients. To date, few law schools have made any effort to adapt their curriculum to prepare for this new reality.
Historically, businesses have had to declare themselves either nonprofit or for-profit. But some businesses are blurring the lines of these long-established categories by having two main objectives: doing public good and making money.
In my practice, the most predominant use of legal analytics is in workflow automation, document analysis and document preparation — whether it is something as simple as generating contracts through an automated workflow completed by the client or something more complicated like using software to review a markup and prepare a responsive draft based upon pre-defined parameters.
Lawyers increasingly found themselves sifting through these digital landfills. Some wanted ways to responsibly reduce volume (and risk), others searched for “smoking guns” that might create risk for the organization, and still others sought evidence tied to litigation agendas.
Tameka Lester, associate director of the College of Law’s Philip C. Cook Low-Income Taxpayer Clinic and assistant clinical professor, testified before the U.S. House of Representatives Committee on Ways and Means Subcommittee on Oversight on Dec. 13 in Washington, D.C. The hearing was on Internal Revenue Service reform.