This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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 machinelearning to find answers to specific legal questions.
MachineLearningMachinelearning helps AI get smarter and more effective over time by learning from historical data. For instance, machinelearning 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.
Subject matters discussed include the connection between AI and Law in the context of legal responsibility, law-making, law-enforcing, criminal law, the medical sector and intellectualproperty law. Learn how to leverage Big data, AI, & MachineLearning, and Gen AI to make better business decisions.
The group includes lawyers in nine offices and is co-led by partners Dino Barajas (Project Finance, San Francisco); Rich Harper (Litigation, New York); Maggie Welsh (IntellectualProperty, New York); and Travis Wofford (Corporate, Houston).
By harnessing machinelearning models, generative AI can generate quick content in response to users’ prompts – whether it be text, images or code (and other examples are sure to follow). Machine-learning based classification technologies are often used for this (for example, Microsoft Syntex).
Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and MachineLearning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machinelearning. It does the work more quickly and accurately than traditional research methods.
This announcement comes following the Government’s commitments, in the Spring Budget 2023 , to build an expert taskforce to develop the UK’s capabilities in AI foundation models and produce guidance on the relationship between intellectualproperty law and generative AI (for more details of these initiatives, see here ).
Will the program apply only to circumstances involving generative AI, or will it cover a broader range of machine-learning technologies? Many of the risks associated with AI vendors (for example, risks associated with intellectualproperty, confidentiality, cybersecurity, and quality control) may arise for a wide range of AI vendors.
These tasks can range from document review and legal research to more complex processes like contract drafting and intellectualproperty management. Navigating International Legal Frameworks Legal processes often involve adherence to specific regulations and compliance standards.
Through machinelearning 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 intellectualproperty disputes. This assists legal teams in building stronger cases.
Through machinelearning algorithms, AI can detect patterns and correlations in substantial datasets that may elude human analysis, offering critical insights. This ground-breaking fusion of natural language processing and machinelearning aids firms with contract analysis, due diligence, and regulatory compliance.
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).
While Experian has announced that it intends to appeal the decision, the enforcement notice still shows the GDPR compliance challenges the data broking industry faces and the ICO’s views on them. At the same time, the proposals seek to encourage innovation by establishing an effective intellectualproperty rights system.
This will launch in a prelease version in April covering just personal injury, with a full release in July also covering labor and employment, insurance, business and commercial, real estate and intellectualproperty. To enhance a large-scale compliance project with direct access to relevant regulatory materials.
Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning 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.
Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning 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.
Tanguy and Mike discuss their backgrounds in AI, regulatory compliance, venture capital, and management consulting. This diverse experience informed their vision for Paxton as an AI assistant specifically built for legal and compliance professionals. Tanguy Chau 4:26 Yeah, I’ll volunteer for that. That’s really what it does.
Indemnities : LCs should assess if a breach by a Third-Party provider of applicable personal data privacy or intellectualproperty laws could have a material adverse impact on them or their use cases, and whether their Third-Party providers have measures in place to protect or indemnify the LCs against legal actions or claims against the LCs.
Tanguy and Mike discuss their backgrounds in AI, regulatory compliance, venture capital, and management consulting. This diverse experience informed their vision for Paxton as an AI assistant specifically built for legal and compliance professionals. Tanguy Chau 4:26 Yeah, I’ll volunteer for that. That’s really what it does.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content