By Katherine B. Forrest | December 28, 2020
In the areas in which high-tech issues and the law intersect, there is much to do.
New York Law Journal | Analysis
By Katherine B. Forrest | December 28, 2020
In the areas in which high-tech issues and the law intersect, there is much to do.
By Patrick Smith | December 15, 2020
Several Am Law 100 firms are turning to Suited's artificial intelligence-powered recruiting platform in hopes of getting more diverse hires.
By Frank Ready | December 10, 2020
Ironclad's "State of Digital Contracting, Winter 2020: AI and the Elusive Promise of Smart Contracting" virtual event delved into how changes in service delivery models could help to drive a new wave of legal tech directed toward in-house attorneys and nonlawyers.
By Jason Brennan, Luminance | December 3, 2020
While COVID-19 will pass, the fundamental shift in working practices and technology adoption will have lasting effects. Lawyers have realized that you don't always need to be sitting in the same office as someone to work effectively.
By Dan Packel | December 2, 2020
A new survey from Thompson Hine found that 69% of respondents said their primary outside firms had made no progress in innovation over the past year.
By Zach Warren | November 23, 2020
As machine learning models become more complex, some attorneys want to share models they've built with clients and others. Kira Systems believes differential privacy provides the best answer to do so while still keeping confidentiality.
By Dan Clark | November 20, 2020
Nintex associate general counsel Camden Hillas says the legal department should be involved in the beginning stages as companies automate work processes to identify potential risks.
By Frank Ready | November 17, 2020
With the McCarthyFinch acquisition, Onit is rapidly attempting to boost its own AI capabilities as it looks to position itself in a crowded contract management marketplace.
By Dan Clark | November 3, 2020
In-house lawyers at Paypal, Via Travel and OpenDoor said it's important for the legal department to work with engineers to avoid unconscious biases that may arise in artificial intelligence.
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