Category: Drafting Patent
-
Machine Learning for Mergers and Acquisitions Analysis
M&A is a high-stakes, complex arena in which companies make strategic choices to grow, diversify, or gain an edge. The quality of the analysis conducted during due diligence, and after merger integration is often what determines whether an M&A deal will be successful. Artificial intelligence (AI), and machine learning, (ML), have become indispensable tools for this…
-
Types of AI Technologies for Patent Drafting
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…
-
Machine Learning for Trademark Infringement Analysis
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 for Securities Regulation Analysis
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…
-
Machine Learning for Product Liability Analysis
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…
-
Machine Learning for Patent Litigation Analysis
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…
-
Machine Learning Algorithms for Contract Analysis
In the ever-evolving landscape of business and law, contract analysis is a critical component of ensuring smooth operations and compliance. Traditionally, analyzing contracts has been a time-consuming and labor-intensive task, but with the advent of machine learning, this process has undergone a significant transformation. Machine learning algorithms have revolutionized the way contracts are reviewed, offering…
-
AI and Machine Learning in Insurance Law
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…
-
AI’s Contribution to Intellectual Property Licensing
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,…
-
Automation of Legal Opinions on Data Privacy
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…