MatterSuite

JUNE 5, 2023

This blog post explores key considerations and recommendations for attaining eDiscovery excellence. Technology-Assisted Review (TAR): TAR, also known as predictive coding or machine learning, utilizes advanced algorithms to assist in the document review process.

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MatterSuite

JUNE 12, 2023

Join us as we embark on a journey where the convergence of law and technology unveils a transformative potential. In this blog, we embark on a journey into the extraordinary ways technology empowers government agencies’ legal teams , toward greater efficiency, enhanced collaboration, and unparalleled success.

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Colin S. Levy

JUNE 20, 2023

What AI allows us to do is use prebuilt models that are very easy to train on the knowledge contained within a specialist area of law for example. Chatbots can be trained using machine learning algorithms to improve their performance over time. The more you feed it with knowledge, the more useful it becomes.

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Lawmatics

AUGUST 8, 2023

Through machine learning algorithms, AI can detect patterns and correlations in substantial datasets that may elude human analysis, offering critical insights. These insights prove invaluable for predicting case outcomes, assessing risks, and formulating potent legal strategies.

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Debevoise Data Blog

DECEMBER 22, 2023

Regulators publish AI-related guidance to advise businesses on their existing obligations What happened : As discussed in previous blog posts , the EU AI Act, which has now concluded its passage through the EU “trilogue negotiations”, is expected to have a wide-reaching impact on businesses which use AI systems in, or sell them into, the EU.

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AXDRAFT

FEBRUARY 7, 2023

Listen to our blog on the go You’ve probably heard about ChatGPT – it’s still one of the hottest topics of today. Case law analysis : For young professionals or those who work in specialized areas of law, it will be helpful to have an AI assistant trained on a large corpus of case law. Got no time to read?

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3 Geeks and a Law Blog

JULY 25, 2023

Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on case law. It’s been trained on case law. But by the very nature of machine learning, like you need massive data sets, train these models. Can we do it some other way?

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3 Geeks and a Law Blog

AUGUST 22, 2023

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. And we potentially contaminate case law. Elimination is all you need paper.

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3 Geeks and a Law Blog

JANUARY 10, 2023

Like they’re just these massive machines that folks can’t really wrangle, there are entire new startups built around. Machine learning transparency, trying to give humans a way to view the models and get a bit of a better understanding of it.

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3 Geeks and a Law Blog

FEBRUARY 14, 2023

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.

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Legal Tech Monitor

AUGUST 22, 2023

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. And we potentially contaminate case law. Elimination is all you need paper.

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3 Geeks and a Law Blog

OCTOBER 30, 2023

And then once you’ve given me the answer, then go into the case law discussion, that is provide one paragraph per case. And so here, you’re gonna see one paragraph per case. And it talks about these various cases that are here. And give me the answer right up top right. Precise, humans are about 96%. This is 99.6.

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