By Stephanie Wilkins | April 1, 2024
"The essence of innovation lies with our lawyers and their deep understanding of our clients' objectives and challenges, coupled with an enthusiasm to think beyond convention," said Wendy Butler Curtis, Chief Innovation Officer at Orrick, Herrington & Sutcliffe.
By Isha Marathe | April 1, 2024
Three main regulatory hurdles stand in the way of justice tech companies hoping to succeed in a tough market. But if they can get around them, the benefits may result in windfalls.
By Isha Marathe | April 1, 2024
Three main regulatory hurdles stand in the way of justice tech companies hoping to succeed in a tough market. But if they can get around them, the benefits may result in windfalls.
By Cassandre Coyer | March 29, 2024
During Friday's "An E-Discovery AI Primer on Distinguishing Machine Learning from ChatGPT and Other Tools" webinar from ACEDS, panelists looked back at some of the lessons from the past year or so since generative AI was first introduced to the legal profession.
By Justin Henry | March 29, 2024
"The last three years, when you look at them as a whole, were the best three years we've ever had," said co-chair David Forti.
The American Lawyer | Analysis
By Cassandre Coyer | March 29, 2024
The U.S.' lead with generative AI models and the EU's broad regulation of the technology may eventually set the stage for two potentially different AI markets.
By D. Casey Flaherty, LexFusion | March 29, 2024
Generative AI's ultimate impact on the delivery of legal services is already in motion. To meet it, the legal industry must embrace practical training now, which will not only be driven by AI, but also extend to AI itself.
By Cassandre Coyer | March 29, 2024
An update on the legal tech market's past few weeks, from product launches to new partnerships.
By Isha Marathe | March 28, 2024
Vendor supply chains are some of the biggest cybersecurity risks for law firms, and are all too often neglected.
By Rhys Dipshan | March 28, 2024
With AI Data Pipeline, Onna is aiming to make it easier for corporate legal teams to use retrieval augmented generation, a process that can reduce the amount of errors a LLM makes.
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