ABA Journal: Legal Rebels

For decades, lawyers who worked in BigLaw could expect some version of the following: Work long hours, including nights and weekends, with minimal free time, giving up almost all semblances of a social life. The reward: money and a potential partnership. And if you didn’t like it, there was the door. And if you were having mental health or wellness issues, then suck it up and deal with it.

Exploring the transformative power of GPT and other large language models in e-discovery, including their potential impact on job roles. Discussing the mixed reactions and concerns surrounding their use, as well as their efficiency and accuracy. Highlighting the potential implications for the e-discovery industry and the need for more efficient discovery methods.

In the United States, there has been very little movement toward establishing a regulatory framework at the federal level for artificial intelligence. Why is that?ChatGPT, the large language model released by OpenAI, is one of several such tools that have revolutionized the legal industry in a short amount of time, igniting debates about whether artificial intelligence has to be regulated—and by whom. The European Union recently took the first step toward passing the AI Act, whereby regulation would increase in proportion with the potential threat to privacy and safety that an AI system poses. China has also drafted rules to regulate AI.

There are plenty of judicial analytics and litigation prediction tools on the market. They may have differences in execution and focus, but the general rule of thumb is that they look at a judge’s past rulings and opinions to predict how that judge might rule on a similar motion or case in the future. For instance, you can look up how a particular judge on prior motions to dismiss on certain employment discrimination cases to get an idea how they might rule on a similar one currently pending in their courtroom. That knowledge can be important for lawyers.

Many of us still get a chill running down our spines when we hear about bank failures and bailouts. After all, it was less than 15 years ago when we went through one of the worst economic disasters in history, and institutions such as Bear Stearns, Lehman Brothers Inc., American International Group Inc. and others became famous for the wrong reasons. The Great Recession took years to recover from, and some of its effects can still be felt to this day.

In November, when OpenAI unleashed the newest, most advanced version of its chatbot, ChatGPT, it immediately captured the imagination. So far, it’s been a hit. Casetext launched CoCounsel earlier this month, and it functions as a legal assistant, helping users draft all sorts of legal documents. Users can utilize CoCounsel to help draft briefs, compose research memos, draw up contracts and analyze them, and write correspondence—all by typing their questions or requests into a prompt.

One of the biggest and longest-running legal technology shows in the country, the ABA Techshow, is right around the corner. From March 1 to 4, thousands of lawyers, legal professionals and vendors will descend upon Chicago to talk about technology.

For some academics, researching, writing, editing and publishing a scholarly piece of work can take months, if not years, of painstaking effort, diligent commitment and rage-inducing frustration. In December, Andrew Perlman, the dean of the Suffolk University Law School, authored one in less time than it takes to watch an episode of the Game of Thrones prequel series House of the Dragon.

Legal operations handle a lot of the business and technological stuff that many lawyers either aren’t trained to handle or don’t want to deal with. All so lawyers can focus on practicing law and representing their clients to the best of their abilities.

There hasn’t been much progress when it comes to driverless cars. Most major car manufacturers have sunk hundreds of billions into developing and testing driverless cars; yet the finish line seems to be nowhere in sight. So what happened?