2018 Case law Machine learning 
3 Geeks and a Law Blog
JULY 25, 2023
Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on case law. But really, you know, his original baby since what 2018 2017. It’s been trained on case law. And if not, AI, on this machine learning Large Language Models specifically?
MatterSuite
OCTOBER 27, 2023
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 Machine Learning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machine learning.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Legal Tech Monitor
JULY 25, 2023
Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on case law. But really, you know, his original baby since what 2018 2017. It’s been trained on case law. And if not, AI, on this machine learning Large Language Models specifically?
LawSites
MARCH 18, 2024
Most legal tech startups make bold declarations about public interest, access to justice and democratizing the law when it suits them. Case law 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.
Legal Tech Monitor
MARCH 18, 2024
Most legal tech startups make bold declarations about public interest, access to justice and democratizing the law when it suits them. Case law 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.
Above the Law - Technology
DECEMBER 4, 2023
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 machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Who are your competitors?
Legal Tech Monitor
DECEMBER 4, 2023
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 machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Who are your competitors? Harvey, Casetext.
Expert insights. Personalized for you.
246 
Let's personalize your content