A recent decision from the U.S. District Court for the Southern District of New York (SDNY), United States v. Heppner, has generated outsized commentary suggesting that the use of generative AI tools may jeopardize attorney-client privilege. A closer reading shows something far less dramatic.
Understanding the “not written by people” feature of AI software is the best lens for viewing AI transactions. The fact that an AI is not a legal entity, prompts the proper legal analysis of AI transactions.
A great debate seems to be rearing its head–is it better to conduct document review with traditional machine learning or with generative AI? This article examines traditional machine learning and generative AI in the context of review for production in litigation matters. While each party seeks to improve efficiency and defensibility, they differ meaningfully in workflow, transparency, human involvement, and overall impact on legal practice.
As insurance retreated from AI exposure, contracts began absorbing functions that insurance once performed. Indemnities compressed. In effect, contracts began underwriting elements of AI risk. This shift has significant consequences for lawyers drafting, negotiating and advising on AI-related agreements.
You would not tolerate an associate with uniform confidence for very long. It makes them less useful, not more, because you cannot triage your review. Every assertion demands the same level of scrutiny. Yet this is precisely how every major large language model operates today. And the artificial intelligence industry’s proposed solution — spending billions to marginally reduce hallucinations — fundamentally misunderstands what lawyers actually need.
A series of recent, startling public comments from technology industry leaders should alert governing boards to the potential enterprise risks of artificial intelligence to their own organization. These public comments address two increasingly worrisome aspects of AI: first, the potential for AI to quickly evolve into an autonomous and unpredictable “rogue” technology; and second, the risk of significant economic and social disruption from mass AI-prompted worker displacement.
A recent decision from the US District Court for the Southern District of New York has generated outsized commentary suggesting that the use of generative AI tools may jeopardize attorney-client privilege. A closer reading shows something far less dramatic.
While the types of awards and rankings run the gamut, there are universal writing principles that bolster the chances of winning any recognition requiring a written submission. Here are six writing tips to improve and enhance legal rankings and awards submission writing.
Adobe was hit with a class action lawsuit accusing the software company of illegally copying hundreds of thousands of copyrighted books, including titles scraped from pirate “shadow libraries,” in what the suit calls large scale, willful copyright infringement.
After Baker & McKenzie laid off hundreds of business professionals this year, several law firm staffing leaders predicted more cuts coming in Big Law, whether it’s a result of artificial intelligence tools or other factors. Some staffing recruiters predicted that Baker McKenzie’s move could even encourage others to go forward with their own cuts.
