Lennie A. Bersh

Lennie A. Bersh is a Shareholder in the Intellectual Property & Technology Practice of the firm's New Jersey office. Lennie is experienced in developing and implementing Intellectual property strategies for building global patent portfolios (7,500+ patents and applications), trade secrets potfolios, and IP counseling in a number of technologies areas, including: artificial intelligence (AI) and machine learning in numerous areas, including FinTech, medical applications and applications related to visual detection/tracking of subjects and objects; electronic health care, including medical data modeling via synthetic data and visualization; Blockchain and crypto technologies; Big data; numerous e-commerce and enterprise cloud technologies; smart industrial and home devices and automation processes; and cyber-security art areas.

With advanced training in intellectual property law (LL.M.) and business strategy (MBA), Lennie brings a client‑centric approach to IP counseling. He helps companies develop and deploy targeted IP strategies with the goal of protecting innovation, generating revenue, supporting market differentiation, and fueling long‑term value creation.

Concentrations

• Legal
  • Intellectual property counsel
  • Strategic patent portfolio management worldwide
  • Prosecution of patent applications worldwide
  • Patent validity challenges at the Patent Office (IPR, CBM, and others)
  • Patent litigation
• Technical
  • FinTech, including financial engineering based on AI and machine learning, smart routers, trading platforms and infrastructure
  • AI and machine learning, such as training and applications of various types of neural network models for disease detection (e.g., cancer), drug screening assay optimization, biological molecule manufacturing, health-related feature extractions based on facial detection and tracking
  • Electronic health care, including electronic patient data tracking and processing, resource utilization, HIPAA-compliant medical data modeling via synthetic data and visualization
  • Big Data and database management based on AI and machine learning
  • Computer-based business methods: social networking, search engine technology; and numerous e-commerce technologies
  • Enterprise and cloud computing, including enterprise cyber-security technologies
  • Virtual machines and networks
  • Image recognition processing and display technologies
  • Networking and wireless communications
  • Optics including laser imaging technologies
  • Smart home devices
  • Medical devices
  • Audio-visual broadcasting and encoding-decoding
  • Cyber-security and autonomous driving