GPT Archives - Home Safety Tech Pros https://homesafetytechpros.com/tag/gpt/ Home Safety Tech Pros Thu, 28 Dec 2023 00:28:45 +0000 en-US hourly 1 https://wordpress.org/?v=7.1 How Casetext utilized the latest GPT technology to create an AI legal assistant https://homesafetytechpros.com/how-casetext-utilized-the-latest-gpt-technology-to-create-an-ai-legal-assistant/ https://homesafetytechpros.com/how-casetext-utilized-the-latest-gpt-technology-to-create-an-ai-legal-assistant/#respond Thu, 28 Dec 2023 00:28:45 +0000 https://homesafetytechpros.com/how-casetext-utilized-the-latest-gpt-technology-to-create-an-ai-legal-assistant/ In November, when OpenAI unleashed the newest, most advanced version of its chatbot, ChatGPT, it immediately captured the imagination. As we’ve covered on this podcast, ChatGPT represents a major leap forward for generative artificial intelligence in that it can converse with and respond to users in a natural, almost humanlike way. So far, it’s been […]

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In November, when OpenAI unleashed the newest, most advanced version of its chatbot, ChatGPT, it immediately captured the imagination. As we’ve covered on this podcast, ChatGPT represents a major leap forward for generative artificial intelligence in that it can converse with and respond to users in a natural, almost humanlike way. So far, it’s been a hit.

ChatGPT boasts 100 million active monthly users after only two months, making it one of the fastest-growing applications ever, according to the Guardian. On March 14, OpenAI unveiled GPT-4—a more advanced version of the AI language model that was unveiled in November, according to the New York Times.

Meanwhile, others have quickly entered the field, as Google announced an advanced chatbot, Bard, last month, according to CNN; while several former OpenAI engineers have announced Claude, according to TechCrunch. The arms race in the advanced chatbot field has begun.

Some lawyers and law professionals have seen the potential for advanced chatbots to help supplement their work, allowing them to perform tasks more efficiently. One such area is legal research.

In that vein, Casetext launched CoCounsel earlier this month.

CoCounsel does not utilize the commercially available ChatGPT. Instead, its customized model was developed in a partnership with OpenAI and trained on the latest version of its GPT large language model—which means GPT4—as well as Casetext’s proprietary legal database and search system. CoCounsel 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.

In this episode of the Legal Rebels Podcast, Jake Heller, the CEO and co-founder of Casetext, talks with the ABA Journal’s Victor Li about CoCounsel, as well as the potential of advanced chatbots to change the legal industry.

Heller, Pablo Arredondo and Laura Safdie, founded Casetext in 2013 and were 2017 ABA Journal Legal Rebels.

See also:

ABAJournal.com: “The Case for ChatGPT: Why lawyers should embrace AI”

ABAJournal.com: “Can ChatGPT help law students learn to write better?”

ABAJournal.com: “Techshow vendors relish return to exhibition floor amid ChatGPT buzz”

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In This Podcast:

<p>Jake Heller</p>

Jake Heller

Jake Heller is the CEO and co-founder of Casetext. Heller was a litigator at Ropes & Gray before co-founding Casetext. He trained at Stanford Law School, where he was president of the Stanford Law Review, and clerked for Judge Michael Boudin in the 1st U.S. Circuit Court of Appeals at Boston.





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]]> https://homesafetytechpros.com/how-casetext-utilized-the-latest-gpt-technology-to-create-an-ai-legal-assistant/feed/ 0 How GPT and other large language models could change e-discovery https://homesafetytechpros.com/how-gpt-and-other-large-language-models-could-change-e-discovery/ https://homesafetytechpros.com/how-gpt-and-other-large-language-models-could-change-e-discovery/#respond Wed, 27 Dec 2023 23:32:45 +0000 https://homesafetytechpros.com/how-gpt-and-other-large-language-models-could-change-e-discovery/ Large language models such as ChatGPT are all the rage these days. A lot of commentators, legal professionals, lawyers and media outlets, including this podcast, have spent a lot of time examining this game-changing technology. This isn’t the first time that a promising piece of legal technology upended the legal industry. When technologically assisted review […]

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Large language models such as ChatGPT are all the rage these days. A lot of commentators, legal professionals, lawyers and media outlets, including this podcast, have spent a lot of time examining this game-changing technology.

This isn’t the first time that a promising piece of legal technology upended the legal industry. 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.

But then a funny thing happened. Lawyers were reluctant to fully embrace it, citing concerns with the technology or the possibility that a court might punish them for using a new tool that hadn’t been widely accepted by the legal industry. Even today, many lawyers and law firms still rely on traditional methods of conducting e-discovery—armies of contract attorneys sifting through documents one at a time.

In that vein, large language models have already been more wholeheartedly embraced by lawyers and legal professionals than technologically assisted review. However, there have also been a lot of hiccups and problems with the technology—between false case citations and made up information, it’s clear that this technology still has a ways to go.

In this episode of the Legal Rebels Podcast, e-discovery pioneer John Tredennick talks to the ABA Journal’s Victor Li about what it was like when technologically assisted review first came out, how it compares to the reception that ChatGPT got, and how large language models are affecting keyword searches.

Rebels podcast logo

Want to listen on the go? Legal Rebels is available on several podcast listening services. Subscribe and never miss an episode.
Apple | Spotify | Google Play

In This Podcast:

<p>John Tredennick</p>

John Tredennick

John Tredennick is the founder and CEO of Merlin Search Technologies. Before that, he was a litigator and a partner at Holland & Hart. While working as the chief technology officer of the law firm, he spun off the e-discovery group into a separate business in 2000, which he named Catalyst. In 2019, he sold Catalyst to OpenText for $75 million.





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