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With demand for technology innovation and efficiency at an all-time high, we can look to Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to help streamline and automate proposal and RFP management, and bridge the gap between increases in RFP requests and lower win rates.
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This article discusses the key lessons that can be taken from a series of recent surveys that seek to understand the long-term impacts of COVID-19 on the industry from the perspective of legal executives and frontline lawyers in U.S. firms and corporate law departments.
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In the process of creating new content, AI, which has moved into the entertainment industry, may create copies of copyrighted works in memory storage as a byproduct of its overall output sequence. This article explores authorship and ownership of such AI-generated content, and to what extent, if any, can copyrights be infringed upon when AI reproduces copyrighted works for machine learning.
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While AI is rising as a key commercial player at the global scale with an expected market size of almost $400 billion by 2025, are patent laws around the world equipped to incentivize this revolution?
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In today's business climate, clients demand greater efficiency when it comes to contract review for many complex deals and transactions. We have found that the combination of deep legal expertise, coupled with embracing carefully researched and vetted technology, is the most effective means of delivering high quality and timely review in an increasingly competitive marketplace.
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There is great enthusiasm about what AI can do to promote better living conditions, evoking wisdom, providing business intelligence through deep analysis of behavior and habits, by signaling trends and anticipating demand. But there are other considerations as well. A critical one is cybersecurity.