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However, empirical research on their effectiveness in conducting legal tasks is scant. We study securities cases involving cryptocurrencies as one of numerous contexts where AI could support the legal process, studying GPT-3.5\u2019s legal reasoning and ChatGPT\u2019s legal drafting capabilities. We examine whether a) GPT-3.5 can accurately determine which laws are potentially being violated from a fact pattern, and b) whether there is a difference in juror decision-making based on complaints written by a lawyer compared to ChatGPT. We feed fact patterns from real-life cases to GPT-3.5 and evaluate its ability to determine correct potential violations from the scenario and exclude spurious violations. Second, we had mock jurors assess complaints written by ChatGPT and lawyers. GPT-3.5\u2019s legal reasoning skills proved weak, though we expect improvement in future models, particularly given the violations it suggested tended to be correct (it merely missed additional, correct violations). ChatGPT performed better at legal drafting, and jurors\u2019 decisions were not statistically significantly associated with the author of the document upon which they based their decisions. Because GPT-3.5 cannot satisfactorily conduct legal reasoning tasks, it would be unlikely to be able to help lawyers in a meaningful way at this stage. However, ChatGPT\u2019s drafting skills (though, perhaps, still inferior to lawyers) could assist lawyers in providing legal services. Our research is the first to systematically study an LLM\u2019s legal drafting and reasoning capabilities in litigation, as well as in securities law and cryptocurrency-related misconduct.<\/jats:p>","DOI":"10.1007\/s10506-024-09399-6","type":"journal-article","created":{"date-parts":[[2024,4,8]],"date-time":"2024-04-08T12:01:51Z","timestamp":1712577711000},"page":"691-737","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Large language models in cryptocurrency securities cases: can a GPT model meaningfully assist lawyers?"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7383-4477","authenticated-orcid":false,"given":"Arianna","family":"Trozze","sequence":"first","affiliation":[]},{"given":"Toby","family":"Davies","sequence":"additional","affiliation":[]},{"given":"Bennett","family":"Kleinberg","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,8]]},"reference":[{"issue":"6","key":"9399_CR5","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1016\/j.jvsv.2022.05.005","volume":"10","author":"Y Ahmad","year":"2022","unstructured":"Ahmad Y, Wadhwa V, Funaki B et al (2022) Outcomes of bellwether cases related to inferior vena cava filters in multidistrict litigations. 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