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The generative artificial intelligence tool is not just designed to transcribe depositions. It looks for inconsistencies. It suggests questions to ask. It analyzes the transcript in real time to see whether there are issues that have to be cleared up or areas of weakness to address. In other words, it's like having another attorney in the room—only one who's capable of digesting large amounts of data and analyzing it quickly.
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Much has been made of the gigantic access-to-justice gap in this country. One possible way to help bridge the gap is to expand the pool of people eligible to practice law. Of course, that raises age-old concerns about unauthorized practice of law.
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The LSAT is facing competition from the JD-Next exam, and many states are reconsidering their licensing methods as the bar exam as we’ve known it sunsets in 2028. Kellye Testy, the executive director and CEO of the Association of American Law Schools, talks with the ABA Journal’s Julianne Hill about why those changes are happening now and what it means for law schools and students.
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There has been a lot of talk and concern about generative AI tools and how they are changing the legal industry.
A major worry for many lawyers is that these tools could replace them or make them redundant.
But what about the potential of generative AI to help lawyers generate business, market themselves more effectively, and make more money?
On this month's episode of the Legal Rebels Podcast, Gyi Tsakalakis, founder of AttorneySync and EPL Digital and digital marketing expert, talks about how generative AI can help lawyers generate business and market themselves. -
It seems like every time that there’s a major disruption or event that threatens to upend the legal industry, it spells doom for the billable hour. But that could be more out of hope than anything else. The billable hour survived the Great Recession and the COVID-19 pandemic, despite many people thinking—or maybe wishing—that it wouldn’t.
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The lack of diversity when it comes to race, gender, sexuality, disability and social class within the legal profession is nothing new. However, the last decade has marked a gradual increase in diversity across all fields.
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Transcription technology has existed for a while now, but its accuracy has never been that high. Now, artificial intelligence could make automated transcription even more accurate. As the tech becomes better and better, is it possible that it could eventually replace human court reporters?
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What better way to spend Valentine’s Day than with your favorite lawyers, legal professionals, technologists and thought leaders who will be on hand to teach lucky conference goers about all the latest trends and developments in the field of legal technology?
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The impact for people clearing their criminal records can be life-changing, leading to long-term employment and financial security. And research shows that it also helps prevent recidivism. But the path to expungement is not always easy, requiring people with criminal records to navigate an unfamiliar, costly and drawn-out process. That’s where lawyer Noella Sudbury comes in.
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As 2023 draws to a close, the Legal Rebels Podcast looks at the top stories in legal technology for the year. Between the explosion in popularity of ChatGPT and other generative artificial intelligence tools, the continued use of virtual or hybrid working arrangements and the underwhelming mergers and acquisitions market, it was certainly an eventful year.
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Legal professionals are not immune to the pull of platforms such as TikTok, Instagram and YouTube Shorts. Some are even using short-form videos to inform clients about their law practice; build their business or brand; or shed light on the culture of BigLaw, crafting short-form video content giving an insider look at the profession.
Among them is Alex Su, a former lawyer and head of community development at Ironclad, a contract management software company. -
One of the areas that has already felt the effects of ChatGPT and other large language models is contracts. Users can now use these AI-enhanced tools to help them quickly draft, analyze and review contracts. All you have to do is type in what you want, and the tech does the rest. Of course, it isn’t that simple. The technology is still in its infancy, and there are limits to what it can do.
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Thanks to the COVID-19 pandemic, working from home and communicating and collaborating via real-time communication tools has become the norm for many law firms and offices. The benefits of such arrangements are obvious. However, some firms, including several of the largest in the country, have begged to differ. Citing a need to maintain or preserve office culture and strengthen personal connections, these firms are now mandating at least four days in the office per week.
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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.
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When technologically assisted review first started gaining traction in e-discovery in the 2010s, many of the same superlatives assigned to ChatGPT were used to describe this groundbreaking new process that purported to review documents faster and more accurately than humans. Lawyers would get hours and hours of time back, and clients would save tons of money.
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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.
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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.
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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.
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