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Handout from “Ethical Implications of Generative AI for the Michigan Lawyer” Presentation

Dennis Kennedy

From understanding the basic definitions of AI and its integration in the legal sector to diving deep into the duty of technology competence, this FAQ addresses many key issues. It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning.

Lawyer 85
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Deploying Cutting-Edge Legal AI: Travers Smith’s Cautious, But Open-source Approach. (TGIR Ep. 216)

3 Geeks and a Law Blog

But we’ve particularly carved out a market leading reputation for our expertise in international asset management, cross border m&a, and also particularly global dispute resolution investigations work. So really a full service firm. So those are the kind of use cases where we didn’t jump in. But it was sort of same.

Legal AI 130
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Handout from “Ethical Implications of Generative AI for the Michigan Lawyer” Presentation

Legal Tech Monitor

From understanding the basic definitions of AI and its integration in the legal sector to diving deep into the duty of technology competence, this FAQ addresses many key issues. It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning.

Lawyer 52
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Deploying Cutting-Edge Legal AI: Travers Smith’s Cautious, But Open-source Approach. (TGIR Ep. 216)

Legal Tech Monitor

But we’ve particularly carved out a market leading reputation for our expertise in international asset management, cross border m&a, and also particularly global dispute resolution investigations work. So really a full service firm. So those are the kind of use cases where we didn’t jump in. But it was sort of same.

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Voting Is Open! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2024 in February

Above the Law - Technology

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. Finally, we plan to build integrations with e-discovery and practice management products.

Litigator 325
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Voting Is Open! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2024 in February

Legal Tech Monitor

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. Finally, we plan to build integrations with e-discovery and practice management products.