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Tech Firms Scramble to Secure Patents in the Exploding Market for Wearable Tech

Brett Trout

AI Integration: The Next Frontier in Wearable Tech AI and machine learning algorithms are becoming a core focus for patent filings. However, HP sidestepped purchasing the failed devicesopting instead to secure the patents, software, and AI talent.

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Everything You Should Know About AI Legal Tech

Percipient

Machine Learning Machine learning helps AI get smarter and more effective over time by learning from historical data. For instance, machine learning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.

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Managing Cybersecurity Risks Arising from AI – New Guidance from the NYDFS

Debevoise Data Blog

In doing so, as the NYDFS notes in the Guidance, it is important to remember that there are many other risks associated with AI adoption, such as loss of intellectual property, privacy, bias, transparency, explainability, quality control, loss of skills, conflicts, antitrust, and overselling.

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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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Good AI Vendor Risk Management Is Hard, But Doable

Debevoise Data Blog

Or will it also cover providers of software products that incorporate AI-enabled features but do not allow users any control of the underlying model(s)? Will the program apply only to circumstances involving generative AI, or will it cover a broader range of machine-learning technologies?

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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.

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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.