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

LawSites

Case Chronology is a patented browser-based software platform that is an efficient, effective way to build, analyze, prepare, and present your case. Case Chronology software allows users to work on a page once while automatically generating Reports, Search Features, Duplicate Detection, Analysis Filters, Interactive Calendars, and Timelines.

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

CaseFox

With the exponential growth of digital data, legal proceedings often involve vast amounts of electronically stored information (ESI). Advanced e-discovery tools and software help lawyers sift through this data, identifying relevant evidence, and streamlining the discovery process.

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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.