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You Still Need to Put in the Work: Hyperdraft’s Ashley Carlisle and Tony Thai on the AI Hype Cycle (TGIR Ep. 213)

3 Geeks and a Law Blog

Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on case law. And, you know, are you seeing that, that there’s some that kind of have some definite concrete use cases? It’s been trained on case law.

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European Data Protection Roundup – November 2023

Debevoise Data Blog

This guidance, which draws on the GDPR as well as national and EU case law, contains relevant advice for using AI in the healthcare space more broadly. For further discussion on the principle of “security by design”, see our previous blog post. The Italian Garante published guidance on the use of AI in the healthcare sector.

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Deploying Cutting-Edge Legal AI: Travers Smith’s Cautious, But Open-source Approach. (TGIR Ep. 216)

3 Geeks and a Law Blog

And obviously, now we’re looking to expand the team more and more, I think we’ve looked into hiring, you know, ml ops people, machine learning engineers, software engineers, and it has produced already a tremendous amount of value for the firm. So those are the kind of use cases where we didn’t jump in. They continue to do that.

Legal AI 130
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You Still Need to Put in the Work: Hyperdraft’s Ashley Carlisle and Tony Thai on the AI Hype Cycle (TGIR Ep. 213)

Legal Tech Monitor

Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on case law. And, you know, are you seeing that, that there’s some that kind of have some definite concrete use cases? It’s been trained on case law.

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ChatGPT – If It Sounds Too Good To Be True… – Tony Thai and Ashley Carlisle (TGIR Ep. 185)

3 Geeks and a Law Blog

So as part of their marketing strategy, definitely the board, or, you know, and definitely the executives thought through this and said, This is a good marketing tool for us going into fundraise getting our valuation nice and frothy, so that we can go and raise a lot of money very quickly.

Law firm 130
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Deploying Cutting-Edge Legal AI: Travers Smith’s Cautious, But Open-source Approach. (TGIR Ep. 216)

Legal Tech Monitor

And obviously, now we’re looking to expand the team more and more, I think we’ve looked into hiring, you know, ml ops people, machine learning engineers, software engineers, and it has produced already a tremendous amount of value for the firm. So those are the kind of use cases where we didn’t jump in. They continue to do that.

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Colin Lachance on Jurisage’s MyJr and How He’s Looking at AI to Assist in the Synthesis and Reading of Legal Cases (TGIR Ep. 190)

3 Geeks and a Law Blog

This protects the researcher from the AI “creating” the answer from all the non-relevant information it has collected in its large language model of machine learning. The MyJr product works as a browser extension and identifies Canadian and US case law citations on any web page. And they wanted to explore legal.

Case law 130