Remove Compliance Remove Digital evidence Remove Machine learning
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The Future of Legal Tech: How Technology Is Transforming the Business of Law

MatterSuite

Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and Machine Learning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machine learning. It does the work more quickly and accurately than traditional research methods.

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Technology for Lawyers: Empowering the Legal Profession in the Digital Age

CaseFox

Advanced e-discovery tools and software help lawyers sift through this data, identifying relevant evidence, and streamlining the discovery process. Through machine learning algorithms, e-discovery platforms can quickly identify patterns and connections in data. This assists legal teams in building stronger cases.

professionals

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Time to Vote! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2023

LawSites

Learn more about this company at the LawNext Legal Tech Directory. Docgility Elevator Pitch: AI-powered Contract Acceleration Platform – 80% faster contract execution with improved compliance – supports review, redlining, collaboration, and negotiation of contracts (including third party/counter party contracts).

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The Rise of “Post-Truth” Litigation: ALM’s Isha Marathe on How Deep Fakes Threaten the Legal System (TGIR Ep. 209)

3 Geeks and a Law Blog

E-discovery professionals are on the front lines of detecting deep fakes used as evidence, according to Marathe. However, they currently only have limited tools and methods to authenticate digital evidence and determine if it is real or AI-generated. And the deep comes from deep learning, which is a form of machine learning.

Litigator 147
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The Rise of “Post-Truth” Litigation: ALM’s Isha Marathe on How Deep Fakes Threaten the Legal System (TGIR Ep. 209)

Legal Tech Monitor

E-discovery professionals are on the front lines of detecting deep fakes used as evidence, according to Marathe. However, they currently only have limited tools and methods to authenticate digital evidence and determine if it is real or AI-generated. And the deep comes from deep learning, which is a form of machine learning.