2010 Law Machine learning 
Colin S. Levy
APRIL 30, 2024
On a Saturday morning in 2016, I found myself sitting in a brightly lit auditorium in my role as an advisor for the Campbell Law School Law Review unaware that my life would take an unexpected turn. Now, it seemed, I was making progress.
LawSites
FEBRUARY 25, 2022
“Drawing from the latest cutting edge search and machine-learning technology, the platform is purpose-built to make search smarter, review faster and discovery more affordable,” the company said in an announcement. Disclosure: I was a paid consultant to Catalyst from 2010 to 2017.].
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Law Technology Today
SEPTEMBER 12, 2023
Since 2010, she has assisted in the design, development, and marketing of TrialPad, TranscriptPad, and DocReviewPad, available for iPad and Mac as a part of the LIT SUITE. The LIT SUITE is also widely taught in law schools across the United States and has been featured by Apple on the App Store.
3 Geeks and a Law Blog
APRIL 13, 2023
The recent survey conducted by Lexis uncovered that 39% of lawyers, 46% of law students, and 45% of consumers agreed that generative AI tools will significantly transform the practice of law. 46% of law students and 45% of consumers agreed that generative AI tools will significantly transformed the practice of law.
Colin S. Levy
MAY 30, 2023
Peter Geovanes is a results-driven data, analytics & AI/ML executive (JD/MBA) who provides a unique background that combines data science, artificial intelligence and machine learning capabilities along with business strategy, innovation, R&D, project management and management consulting skills.
Legal Tech Monitor
JANUARY 10, 2024
My expectation is that whatever these machine learning technologies actually are, they will be submerged within tools that are themselves vetted. key case from law school. It’s a UK case that’s cited in US law. taught in law school. CanLII had one case from 2010. Not very useful but honest.
Debevoise Data Blog
OCTOBER 31, 2023
On 26 October 2023, the Bank of England, Prudential Regulation Authority (“PRA”) and Financial Conduct Authority (“FCA”, collectively the “UK Financial Authorities”) published FS2/23 on Artificial Intelligence and Machine Learning (the “Response Paper”).
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