Definition Machine learning Time-tracking 
Global LegalTech Hub
DECEMBER 20, 2024
In 2019, he began developing the concept for a company that could create 3D avatars from 2D photos using 3D reconstruction techniques and machine learning, an idea that combines both blockchain and digital identities. I think over time with technology, we started having quite a lot of privacy. This is not his first company.
Above the Law - Technology
DECEMBER 4, 2023
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Debevoise Data Blog
MARCH 19, 2025
The Committee has been grappling with how to handle evidence that is a product of machine learning, which would be subject to Rule 702 if propounded by a human expert. 8, 2024) , Tab 4 Memorandum Re: Artificial Intelligence, Machine-Learning, and Possible Amendments to the Federal Rules of Evidence (Oct. 24 Report).
Simple Legal
APRIL 19, 2023
And the more data points you have, the harder (and more time-consuming) it is to identify patterns and outliers. Through machine learning, the AI develops an understanding of what’s normal in your data sets and what isn’t. Or whatever data point you want to keep track of. Want to see SimpleReview in action? The result?
3 Geeks and a Law Blog
JULY 11, 2023
Law firms spend a great deal of time and money on security measures. I would say, you know, as an attorney and legal innovation evangelist, I like to describe myself at times. On a matter that’s outsourced to perhaps a service provider as to how that information is being treated at that point in time. So I definitely think data.
3 Geeks and a Law Blog
FEBRUARY 14, 2023
It is pretty apparent that we are in a super Hype Cycle when it comes to AI tools like ChatGPT, but for many of us in the legal profession, we’re not used to reaching this point of the cycle at the same time as the rest of the world. They do AI machine learning proofs of concepts for governments and large companies and so on.
LawSites
MARCH 18, 2024
After an exhausting year of negotiations, it was time to lock ourselves in a room and figure out if we had a deal. By the time we’d arranged ourselves around a conference table in early 2015, I had a different perspective. We’d carefully modeled out the costs and timing. It was so loud we had to suspend work around exam time.
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