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Traction: We are adding about 25 people a day as registrants, having fully launched in late October 2023, and have begun demos with attorneys. Altumatim Elevator Pitch: Altumatim is the story-based eDiscovery platform that fully automates document review and finds the most important evidence by learning the story the attorney wants to tell.
Canotera Canotera provides AI-powered predictive analytics for legal disputes, bringing transparency and efficiency to the legal industry. Using Large Language Models and Geometric MachineLearning, our platform forecasts litigation outcomes at scale. Our mission: to predict legal dispute outcomes in a clear and impactful way.
We apply Natural Language Processing and a semantic knowledge graph to the process that attorneys use to research, analyze and write complex legal documents. Target customer: In-house legal departments and law firm attorneys who serve as outside general counsel. Attorney users $199/mo. Demo video: Video on page: [link].
With emerging new technologies like artificial intelligence (AI) and machinelearning, many people have started considering what legal software might mean for the legal profession’s future. However, Bloomberg Law’s Spring 2023 Law School Preparedness Survey , which included 936 practicing attorneys, revealed some interesting insights.
And this market influence reaches beyond attorneys and law firms. It's democratizing access to justice through online disputeresolution, DIY tools, and legal advice apps. Integrating AI tools like natural language processing, predictive analytics, and machinelearning into legal practices is accelerating.
We provide features that protect attorney-client privilege and provide added security to sensitive proceedings. We answer the question found on so many attorney billboards: “What’s your case worth?” How it works: Agree to negotiate a resolution. What makes you unique or innovative? We started with depositions.
It is based on advanced machinelearning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. How might AI tools impact the attorney-client relationship generally? What are the implications for attorney-client privilege when using generative AI?
We apply Natural Language Processing and a semantic knowledge graph to the process that attorneys use to research, analyze and write complex legal documents. Target customer: In-house legal departments and law firm attorneys who serve as outside general counsel. Attorney users $199/mo. Demo video: Video on page: [link].
It is based on advanced machinelearning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. How might AI tools impact the attorney-client relationship generally? What are the implications for attorney-client privilege when using generative AI?
Traction: We are adding about 25 people a day as registrants, having fully launched in late October 2023, and have begun demos with attorneys. Elevator Pitch: Altumatim is the story-based eDiscovery platform that fully automates document review and finds the most important evidence by learning the story the attorney wants to tell.
It was an ex parte case, but it was actually reviewed by an attorney, a 23 year prep long practicing attorney that had somewhere in the area of eight made up citations that you know, and I can tell you, I took that brief and I passed it through Lexuses brief analyzer and it immediately found those eight. So really a full service firm.
It was an ex parte case, but it was actually reviewed by an attorney, a 23 year prep long practicing attorney that had somewhere in the area of eight made up citations that you know, and I can tell you, I took that brief and I passed it through Lexuses brief analyzer and it immediately found those eight. So really a full service firm.
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