This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In fact, as I described in my very first post about Casetext , its original vision was a crowdsourced caselaw library that its users would edit and annotate and then have other users upvote or downvote the annotations. Think a marriage of Wikipedia and Digg, but for law. WellSettled.com Mines Cases for Established Principles.
T he Caselaw Access Project , part of Harvard Law School’s Library Innovation Lab , completed its three-year project to digitize all U.S. caselaw — some 6.4 million cases dating all the way back to 1658, a span of 360 years. million published cases (and which has continued to grow since then).
T he Caselaw Access Project , part of Harvard Law School’s Library Innovation Lab , completed its three-year project to digitize all U.S. caselaw — some 6.4 million cases dating all the way back to 1658, a span of 360 years. million published cases (and which has continued to grow since then).
In fact, as I described in my very first post about Casetext , its original vision was a crowdsourced caselaw library that its users would edit and annotate and then have other users upvote or downvote the annotations. Think a marriage of Wikipedia and Digg, but for law. WellSettled.com Mines Cases for Established Principles.
Demo video: [link] Founded: 9/1/2017, Birmingham, MI Target customer: Law firms (all sizes), corporate legal departments, and eDiscovery service providers (our current paying customers are law firms). If ever there was an industry ripe for disruption, legal tech, and specifically legalresearch, is it.
the morning of a critical meeting at Harvard Law School, where I worked. Harvard professor Jonathan Zittrain and l were sitting down with Daniel Lewis and Nik Reed , the founders of a legalresearch startup named Ravel Law, along with lawyers from Harvard’s Office of General Counsel, Debevoise & Plimpton and Gundersen Dettmer.
Current useful applications center on legalresearch, brainstorming, administrative tasks – not mission-critical legal analysis. Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on caselaw. It’s been trained on caselaw.
The Killer Feature Context grew out of Ravel Law , which LexisNexis acquired in 2017. Ravel Law garnered attention for its judge analytics offering, enabling lawyers to get inside the head of a judge before starting a legalresearch project. Leveraging its analytics increases the probability of winning a case."
the morning of a critical meeting at Harvard Law School, where I worked. Harvard professor Jonathan Zittrain and l were sitting down with Daniel Lewis and Nik Reed , the founders of a legalresearch startup named Ravel Law, along with lawyers from Harvard’s Office of General Counsel, Debevoise & Plimpton and Gundersen Dettmer.
Current useful applications center on legalresearch, brainstorming, administrative tasks – not mission-critical legal analysis. Casetext’s acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on caselaw. It’s been trained on caselaw.
Demo video: [link] Founded: 9/1/2017, Birmingham, MI Target customer: Law firms (all sizes), corporate legal departments, and eDiscovery service providers (our current paying customers are law firms). If ever there was an industry ripe for disruption, legal tech, and specifically legalresearch, is it.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content