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ChatGPT-while: a very short opinion

CEE Legal Tech

It is, therefore, safe to wonder if the legal industry will react similarly to Machine Learning systems, especially those specifically designed to address legal problems. world where justice will be mediated and delivered by AI, we should first understand how this Machine Learning product actually works.

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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.

Mediator 325
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Time to Vote: You Get to Pick the Startup Alley Finalists for ABA TECHSHOW 2022

LawSites

How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machine learning 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 Demo video: [link]. Demo video: [link].

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

Dennis Kennedy

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. If AI assists in a legal decision that’s later challenged, how can I defend its use? reshape practices, making them more efficient and perhaps even more equitable.

Lawyer 85
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Handout from “Ethical Implications of Generative AI for the Michigan Lawyer” Presentation

Legal Tech Monitor

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. If AI assists in a legal decision that’s later challenged, how can I defend its use? reshape practices, making them more efficient and perhaps even more equitable.

Lawyer 52
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Time to Vote: You Get to Pick the Startup Alley Finalists for ABA TECHSHOW 2022

LawSites

How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machine learning 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 Demo video: [link]. Demo video: [link].

article thumbnail

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.