Remove 2019 Remove Case law Remove Machine learning
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Robin AI Raises $26 Million in New Funding

Legal Tech Blog

Robin AI was founded in 2019 by Richard Robinson , a lawyer at Clifford Chance, and James Clough , a machine learning research scientist at Imperial College. This will help level the playing field between big and small law firms and help more people access legal services. But this is just the beginning.

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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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Time to Vote! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2023

LawSites

CiteRight Elevator Pitch: CiteRight helps litigation teams save, organize, share, cite, and assemble case law — so they can draft faster and spend more time on what matters. CiteRight is the only tool that allows lawyers to save case law and automatically cite it inside Microsoft Word. What makes you unique or innovative?

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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. Elimination is all you need paper.

Legal AI 130
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Guest Post: The Caselaw Access Project — Then, Now, Tomorrow

Legal Tech Monitor

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.

Court 52
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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. And we potentially contaminate case law. Elimination is all you need paper.