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Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on caselaw. But really, you know, his original baby since what 2018 2017. It’s been trained on caselaw. And if not, AI, on this machinelearning Large Language Models specifically?
billion by 2023, growing at a compound annual growth rate (CAGR) of around 10% from 2018. Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and MachineLearning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machinelearning.
Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on caselaw. But really, you know, his original baby since what 2018 2017. It’s been trained on caselaw. And if not, AI, on this machinelearning Large Language Models specifically?
Most legal tech startups make bold declarations about public interest, access to justice and democratizing the law when it suits them. Caselaw books waiting to be scanned. Harvard would contribute the law books and run the scanning process inside the law library. Ultimately, by mid-2015, the deal had taken shape.
Demo video: [link] Founded: 2/1/2018, Washington DC. Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Who are your competitors?
Most legal tech startups make bold declarations about public interest, access to justice and democratizing the law when it suits them. Caselaw books waiting to be scanned. Harvard would contribute the law books and run the scanning process inside the law library. Ultimately, by mid-2015, the deal had taken shape.
Demo video: [link] Founded: 2/1/2018, Washington DC. Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Who are your competitors? Harvey, Casetext.
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