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Henchman Legal professionals rarely start from scratch when drafting contracts or negotiating details. Henchman automatically centralizes past clauses and definitions from any legal team’s contract database and delivers them intelligently in lawyers’ familiar Microsoft Word or Outlook environments.
I wanted to talk about some of the things that we hear law firms are doing now with generative AI to help improve the delivery of legal services. So what do you see as some of the potential benefits and pitfalls of using AI for such tasks as drafting and reviewing contracts, or conducting legalresearch?
If ever there was an industry ripe for disruption, legal tech, and specifically legalresearch, is it. caselaw and helps us avoid issues others have run into in trying to use AI for legalresearch. solves a few problems that current legal search engines do not. What makes you unique or innovative?
Lachance has additional goals for using AI within Jurisage’s data, but he’s focused tools like MyJr establishing trust with those using it for researching Canadian, and soon US caselaw. The MyJr product works as a browser extension and identifies Canadian and US caselaw citations on any web page. So give us some background.
Dentons is financially backing a group of students from the University of Toronto who, as a class project, created an artificial intelligence to perform legalresearch. Code-named Ross, the AI uses IBM’s Jeopardy -nailing Watson to scour massive amounts of caselaw and legal docs in seconds to produce answers to legal questions.
So that’s why we are used by hundreds of law firms across the country, including Big law, including courts and government agencies. And now we’re actually starting to be used by major law firms in Europe as well, which is really cool. So we’re bringing in even more legal content.
This session, moderated by Maribel Rivera, VP, Strategy and Client Engagement, ACEDS, featured insights from industry leaders such as Julie Brown, Director of Practice Technology at Vorys, Sater, Seymour and Pease LLP; Cat Casey, Chief Growth Officer at Reveal; and David Horrigan, Discovery Counsel and Legal Education Director at Relativity.
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.
And the one thing I told them is this is not a legalresearch, pure legalresearch tool. So those are the kind of use cases where we didn’t jump in. And we potentially contaminate caselaw. Please do not use citations that are in there. And if you if you do you better check them.
Legal professionals rarely start from scratch when drafting contracts or negotiating details. Henchman automatically centralizes past clauses and definitions from any legal team’s contract database and delivers them intelligently in lawyers’ familiar Microsoft Word or Outlook environments.
Henchman Legal professionals rarely start from scratch when drafting contracts or negotiating details. Henchman automatically centralizes past clauses and definitions from any legal team’s contract database and delivers them intelligently in lawyers’ familiar Microsoft Word or Outlook environments.
.” While both positions hold significant importance in the legal world, they differ in terms of status, responsibilities, and career prospects. Definition and Status Counsel: In a law firm or legal department, a counsel is an attorney who holds a senior position.
Incorporating Legal Context and Nuances: The legal field is renowned for its intricate language, specialized terminology, and nuanced concepts. To extract meaningful insights from ChatGPT, it is crucial to embed legal context within your prompts. Which aligns with the specialized nature of legal practice.
Henchman Legal professionals rarely start from scratch when drafting contracts or negotiating details. Henchman automatically centralizes past clauses and definitions from any legal team’s contract database and delivers them intelligently in lawyers’ familiar Microsoft Word or Outlook environments.
I wanted to talk about some of the things that we hear law firms are doing now with generative AI to help improve the delivery of legal services. So what do you see as some of the potential benefits and pitfalls of using AI for such tasks as drafting and reviewing contracts, or conducting legalresearch?
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.
And the one thing I told them is this is not a legalresearch, pure legalresearch tool. So those are the kind of use cases where we didn’t jump in. And we potentially contaminate caselaw. Please do not use citations that are in there. And if you if you do you better check them.
If ever there was an industry ripe for disruption, legal tech, and specifically legalresearch, is it. caselaw and helps us avoid issues others have run into in trying to use AI for legalresearch. solves a few problems that current legal search engines do not. What makes you unique or innovative?
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.
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.
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