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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.

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Legal AI: A Lawyer’s New Best Friend?

TechLaw Crossroads

There’s lots of talk about AI and machine learning and how those tools will or will not impact the practice of law. They believe that machines will ultimately rule the human race. I recently had a chance to hear Richard Susskind speak on AI in law and, as always, found his comments perceptive and spot on.

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Technology for Lawyers: Empowering the Legal Profession in the Digital Age

CaseFox

They also give lawyers the statutes, case law, and legal commentary about the cases. Through machine learning algorithms, e-discovery platforms can quickly identify patterns and connections in data. This assists legal teams in building stronger cases.

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Bim Dave

Colin S. Levy

I was pretty shocked to hear this as you can imagine but his explanation made it all make sense: “Bim, by the time it takes me to open the system, do all of the clicks it takes to edit or approve a bill, I could simply send a quick IM (Instant Message) or email to my billing secretary and they will do it for me”. conversations with a chatbot.

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Guest Post: The Caselaw Access Project — Then, Now, Tomorrow

LawSites

Most legal tech startups make bold declarations about public interest, access to justice and democratizing the law when it suits them. Case law books waiting to be scanned. Harvard would contribute the law books and run the scanning process inside the law library. Ultimately, by mid-2015, the deal had taken shape.

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Voting Is Open! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2024 in February

Above the Law - Technology

Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.

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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. And we potentially contaminate case law. We’d love to hear from you.

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