Category: Drafting Patent

Artificial Intelligence has already revolutionized the legal industry, and it will continue to do this in the future. AI will have a major impact on the legal services of patent drafting. Patent drafting can be a time-consuming and complex process. It involves researching prior art and understanding complex technical concepts. AI can help patent agents and attorneys in…

Trademark infringement is a serious concern for businesses. It can lead to loss of revenue, damage to reputation, and legal disputes that are costly and time-consuming to resolve. AI-powered tools can help lawyers identify potential trademark infringement. By monitoring online platforms, e-commerce websites, and social media, these systems can flag instances of unauthorized use of…

Machine learning relies on large amounts of data to find associations. These associations are then used to make predictions for future events. The use of machine learning for securities regulation analysis can reduce costs, speed up processes and improve accuracy. However, there are certain challenges that need to be overcome. It has the potential to…

Artificial intelligence (AI) and machine learning are having a transformational impact on manufacturing, robotics, transportation, agriculture, modeling and forecasting, education, cybersecurity, and more. But despite the benefits, the adoption of AI in these industries raises products liability questions. Companies can reduce risk by using contract provisions, such as warranties, indemnities, and limitations. Legislation could also…

Artificial intelligence (AI) technology is rapidly expanding from a niche area of Silicon Valley software companies to almost every innovative business, including non-software businesses. This expansion is driving the creation of new IP in the form of AI-related patents and raising novel issues for patent litigants. Traditionally, a company that believes it is being sued…

Many insurers use AI, and customers reap the benefits of comparative shopping, rapid claims processing, and around-the-clock service. However, the technology can present challenges to regulatory compliance and business ethics. One major challenge is proxy discrimination and models that employ correlations that may reflect past discrimination. Strong governance and transparent model design help mitigate this…

Industry leaders have built substantial IP portfolios in their respective fields, granting them crucial patent rights to protect innovation and create market value. To compete with industry leaders effectively and capture a share of the global marketplace, new entrants must carefully consider their IP strategies. AI technology is rapidly changing established IP concepts such as patents,…

Data privacy involves an individual’s right to control how their personal information is collected, used, shared and stored. It also encompasses security measures. Businesses face a growing number of privacy laws across the US and abroad. These laws require transparency and accountability in how they handle data. This includes how they use it in automated…

There’s precedent for regulating AI with data privacy law, at least indirectly. Proposition 24 includes language on “automated decision making” technologies, which could apply to AI. AI-powered legal analysis of privacy laws is a valuable tool for legal professionals and organizations seeking to navigate the complex landscape of privacy regulations. Legal AI software solutions enable…