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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

Greg Lambert 2:49 I hear not all of that was HyperDraft. But really, you know, his original baby since what 2018 2017. But the most important thing that I think is hard for many organizations to hear is you must put in the work to get something out of it, right? So I’m glad we were able to arrange it. So that’s good.

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The evolution of Natural Language Processing and its impact on the legal sector. Why learning by example is the only way to optimise language models

lawtomated

What I later learned was that hearing Spanish, in real-life scenarios, was the best way to expand my vocabulary and develop my linguistic skills. In 2017, Google introduced Transformers , which was deemed to be a significant improvement on RNN because it could process data in any order. Who or what is BERT?

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Johannes Scholtes: AI Is Finally Here. Now the Hard Work Begins for the Legal Industry (TGIR Ep. 191)

3 Geeks and a Law Blog

So you’re probably familiar with that yourself when you’re using this machine learning. We’d love to hear from you. So one of these in these in these and they would see that these will actually pop up in one of the final training cycles. And then you get the feeling that’s you can control things. And it never worked.

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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

Greg Lambert 2:49 I hear not all of that was HyperDraft. But really, you know, his original baby since what 2018 2017. But the most important thing that I think is hard for many organizations to hear is you must put in the work to get something out of it, right? So I’m glad we were able to arrange it. So that’s good.

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

LawSites

And so we had to end scanning in early 2017, although eventually we were able to extend it into 2018. An Awkward Dance Then in June 2017, LexisNexis announced that it had bought Ravel. If you talk to lots of legal tech startups, like I do, you’ll hear how much easier it is to start something new because of the project.

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Artificial Intelligence, Real Discrimination

Richmond Journal of Law and Technology

AI-assisted discrimination “Machine learning is like money laundering for bias.” – Maciej Cegłowski [7] Employers can use AI to assist with a host of tasks. In 2017, the Harvard Business Review published an article claiming that “[t]he most important general-purpose technology of our era is artificial intelligence.” [47]

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Thomson Reuters’ Kriti Sharma on Responsible AI: The Path to Trusted Tech in Law

3 Geeks and a Law Blog

Because as we go into the world of AI, machines learn like humans do, and they’re designed, and they bring in experiences and knowledge from the creators from the underlying data sets. And at the time, the that role was about help the machines learn how to talk to humans. So you can also reach out to us on social media.

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