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A first-of-its-kind tool introduced last year to automate the drafting of litigation briefs has been named new product of the year for 2021 by the American Association of Law Libraries. CARA has since spawned a generation of similar products from other legalresearch companies. Casetext says it can cut brief-writing time by 76%.
The role of attribution is also receiving increasing focus as attorneys begin to rely more heavily on AI outputs for their legal documents. The case thus raises questions about the extent to which legal pleadings and motions, as petitions to the government for redress, are protected speech. In American Institute of Physics v.
At the Association of Legal Administrators annual conference today in Austin, Texas, NetDocuments is unveiling a powerful knowledge management product to automatically add legalresearch intelligence to litigation documents, through a partnership with LexisNexis.
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We are the first AI-driven platform to focus specifically on drafting litigation documents. The substantial amount of time lawyers spend drafting documents during litigation. It also improves access to justice for society as lawyers can handle more cases, as well as remove some bias from the legal system through fact-first drafting.
We find that while overall mandamus is rarely granted by the Federal Circuit, in a key area–petitions involving venue arising from Texas–that is not the case. It’ll also ensure that legalresearch databases contain these orders going forward. Our finding validates a smaller sample observation that Chin et.
In response to this instance and other generative AI mishaps , a federal judge in the Northern District of Texas issued a standing order requiring anyone appearing before the court to either “attest that no portion of any filing will be drafted by generative artificial intelligence” or cite all language that was drafted by GAI.
In response to this instance and other generative AI mishaps , a federal judge in the Northern District of Texas issued a standing order requiring anyone appearing before the court to either “attest that no portion of any filing will be drafted by generative artificial intelligence” or cite all language that was drafted by GAI.
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