Remove Intellectual Property Remove Judge Remove Machine learning
article thumbnail

Everything You Should Know About AI Legal Tech

Percipient

Machine Learning Machine learning helps AI get smarter and more effective over time by learning from historical data. For instance, machine learning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.

article thumbnail

The Law Library of Babel: Exploring the Infinite Dimensions of Law and Technology

Colin S. Levy

The platform itself was a marvel, a testament to the incredible power of artificial intelligence and machine learning to transform the way we approach the law. But even in that moment of technological triumph, I could sense that there was something deeper at work, a fundamental shift in the very fabric of our legal universe.

Law 111
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

LawSites

In past years, the judges narrowed the ballot to 25 semifinalists. This year, out of the 55 applications we received, the judges felt that so many deserved the opportunity to compete that we eliminated only 15 and we are putting the rest out for your votes. You may vote for your top-five favorites or five times for top favorite.

article thumbnail

Deploying Cutting-Edge Legal AI: Travers Smith’s Cautious, But Open-source Approach. (TGIR Ep. 216)

3 Geeks and a Law Blog

And that’s one thing, providing it a change control clause, which is proprietary, valuable intellectual property for that organization. But when you’ve got a decentralized process, like common law, where you’ve got a circuit court in the foothills of Wisconsin with one judge and one local solicitor.

Legal AI 130
article thumbnail

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

3 Geeks and a Law Blog

And let alone that there’s a lot of risk in this these datasets, others HR risks, there’s intellectual property risks. On the other hand, I strongly believe in the combination of machines and humans, especially for these legal but also for medical applications. And then you get the feeling that’s you can control things.

article thumbnail

Berkeley Technology Law Journal Podcast: The Capabilities and Limitations of ChatGPT with Professor Chris Hoofnagle

Berkley Technology Law Journal

In today’s episode, we’ll be diving into the fascinating world of one of the most advanced machine learning tools out there: ChatGPT. It even wrote me a funny Limerick about the Supreme Court: “ There once were nine judges supreme whose robes were a legal dream. I’m your host, Eric Ahern.

article thumbnail

Deploying Cutting-Edge Legal AI: Travers Smith’s Cautious, But Open-source Approach. (TGIR Ep. 216)

Legal Tech Monitor

And that’s one thing, providing it a change control clause, which is proprietary, valuable intellectual property for that organization. But when you’ve got a decentralized process, like common law, where you’ve got a circuit court in the foothills of Wisconsin with one judge and one local solicitor.