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The Legal Technology Resource Center ’s Women of LegalTech initiative is intended to encourage diversity and celebrate women in legal technology. I am constantly on the lookout for high-bar legal tasks (i.e. How did you become involved in legaltech? Legal-focused blogs, podcasts, and speakers.
The Legal Technology Resource Center ’s Women of LegalTech initiative is intended to encourage diversity and celebrate women in legal technology. My interest in legal technology comes from both the technical and legal sides as I studied Law as my undergraduate degree before doing an MSc in Computer Science.
This was early 2015, on my commute to Cambridge, Mass., Harvard professor Jonathan Zittrain and l were sitting down with Daniel Lewis and Nik Reed , the founders of a legal research startup named Ravel Law, along with lawyers from Harvard’s Office of General Counsel, Debevoise & Plimpton and Gundersen Dettmer. I hit the brakes.
This protects the researcher from the AI “creating” the answer from all the non-relevant information it has collected in its large language model of machinelearning. So Jurisage is looking to deal with what we call the second biggest legal research problem. I was CEO at kami Canadian legal information Institute.
How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machinelearning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 6/15/2015.
And as we see the cost of computing power come down, as we see more and more legal information becoming digitized. So really, what we’re trying to do all along, even in our, let’s call them analog ways, is make legal predictions. The claim of the book is that as we see computational power continue to double every couple of years.
This was early 2015, on my commute to Cambridge, Mass., Harvard professor Jonathan Zittrain and l were sitting down with Daniel Lewis and Nik Reed , the founders of a legal research startup named Ravel Law, along with lawyers from Harvard’s Office of General Counsel, Debevoise & Plimpton and Gundersen Dettmer. I hit the brakes.
How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machinelearning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 6/15/2015.
And as we see the cost of computing power come down, as we see more and more legal information becoming digitized. So really, what we’re trying to do all along, even in our, let’s call them analog ways, is make legal predictions. The claim of the book is that as we see computational power continue to double every couple of years.
Because if it weren’t, if it were, say 90% with a machinelearning model, you wouldn’t trust this number. This is when we acquired judicata, we acquired a tiger already who was the CEO of judicata came over. And his precision rates on what you see right here is 99.6%. Precise, humans are about 96%. This is 99.6.
Isha Marathe a legaltech reporter for American lawyer media recently wrote an article. And the deep comes from deep learning, which is a form of machinelearning. So welcome to the world of deep fakes at court, are you Are we ready? Greg Lambert 1:28 Yes, yes. Isha Marathe 2:31 Yep. So I’m a deep fake.
Isha Marathe a legaltech reporter for American lawyer media recently wrote an article. And the deep comes from deep learning, which is a form of machinelearning. So welcome to the world of deep fakes at court, are you Are we ready? Greg Lambert 1:28 Yes, yes. Isha Marathe 2:31 Yep. So I’m a deep fake.
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