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For attorneys, especially those working in and around state governments, where lobbying and practicing law often go hand-in-hand, the writing on the wall is clear: manual research and traditional legal software are not optimized for these tasks. This is why generative AI is starting to establish a presence in the legal and lobbying industries.
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The more we become commodities — and most legal marketers are happy to assist in this process — then the less we can charge our clients, the less we can match up with the right clients, and the easier we are to be replaced by AI. The old tricks that fooled Google will soon stop working.
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A federal judge handed Meta a major win on June 24 in a closely watched copyright case over its use of books to train large language models, but the ruling stopped well short of giving tech companies blanket protection to scrape creative works for artificial intelligence.
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A quick-service restaurant holding company’s plans to use artificial intelligence to enhance customers’ ordering experience is highlighting a new era of cyber liability risks. Data privacy concerns continue to drive lawsuits, and plaintiffs’ attorneys continue to seek creative ways to litigate privacy violations alongside rapidly evolving AI technologies, often bringing claims under laws that predate the internet itself.
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While the case discussed in this article involved medical health technology, the implicated issues inform patent strategies for AI enabled inventions across all industries. Patent applicants should expect to see reliance by the Patent Office not only on its 2019 Guidance but also on its examples illustrating application of the guidance in the context of AI related innovation.
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As AI continues its rapid march through the legal industry, law firms are facing a new kind of strategic imperative. No longer is the question whether to use AI — but rather how to do so responsibly, effectively and competitively.
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Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this transformation unfolds, understanding precisely what is realistic now, what’s imminent on the horizon, and what remains purely speculative is essential for legal professionals and e-Discovery technologists alike.
Features
A federal judge handed Meta a major win on June 24 in a closely watched copyright case over its use of books to train large language models, but the ruling stopped well short of giving tech companies blanket protection to scrape creative works for artificial intelligence.
Features
A federal judge handed Meta a major win in a closely watched copyright case over the use of books to train large language models (LLMs). But the ruling stopped well short of giving tech companies blanket protection to scrape creative works for artificial intelligence.
Features
As artificial intelligence continues its rapid march through the legal industry, law firms are facing a new kind of strategic imperative. No longer is the question whether to use AI — but rather how to do so responsibly, effectively, and competitively.