Remove Due diligence Remove Intellectual Property Remove Machine learning
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Thomson Reuters Launches AI-Powered Contract Analysis Tool in HighQ

LawSites

Thomson Reuters is getting into the game of AI-powered contract analysis with the launch today of HighQ Contract Analysis , a contract review tool that uses machine learning to find answers to specific legal questions.

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Johannes Scholtes: AI Is Finally Here. Now the Hard Work Begins for the Legal Industry (TGIR Ep. 191)

3 Geeks and a Law Blog

And let alone that there’s a lot of risk in this these datasets, others HR risks, there’s intellectual property risks. Marlene Gebauer 12:06 So Jan, you’ve written about how AI can be used to improve the due diligence process for m&a deals. And then there’s the due diligence where you want to buy it.

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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 automates the time-consuming process of document review and due diligence.

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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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Legal Process Outsourcing Law Firms: A Complete Guide

MatterSuite

These tasks can range from document review and legal research to more complex processes like contract drafting and intellectual property management. Assessing Capabilities and Infrastructure Conduct a thorough due diligence process to assess the capabilities and infrastructure of the LPO provider.

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

CaseFox

Through machine learning algorithms, e-discovery platforms can quickly identify patterns and connections in data. Additionally, digital forensics has become essential in cases involving digital evidence, such as cybercrimes and intellectual property disputes. This assists legal teams in building stronger cases.

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

Debevoise Data Blog

Third-Party Service Provider and Vendor Management The NYDFS “strongly” recommends that due diligence of third-party service providers should include diligence on the AI-related risks they pose to themselves and to the covered entities.