Enterprise intellectual property departments and law firms find themselves at the epicenter of a historic macroeconomic shift. According to the latest research, legal professionals rank among the most exposed occupations to generative AI, alongside translation and interpretation roles, which top the list at 88% exposure. This level of exposure demands that IP professionals immediately evolve from manual task execution to high-level strategic oversight and system governance.
However, the real-world deployment of production-grade AI within patents and trademarks is currently bottlenecked. AI initiatives routinely stall because valuable matter data remains trapped behind gated legacy roadmaps, expensive vendor projects, and rigid IP management systems (IPMS) data locks.
Join globally recognized data scientist and author Dr. Manjeet Rege alongside Black Hills AI Chief AI Officer Thomas Marlow for an executive session that bridges the gap between workforce data trends and immediate legal tech deployment.
Dr. Rege will unpack the “Great Decoupling” of enterprise productivity and outline how IP workflows are rapidly transitioning from simple chatbots into fully autonomous, multi-step Agentic Workforces. Thomas Marlow will then deliver the architectural blueprint for surviving this shift, using three distinct doorways to value: attorney-built automation tools (Otto IP™), an open data API layer (Otto HUB™), and a revolutionary Model Context Protocol (MCP) server. Discover how to instantly ground frontier models like Claude, Copilot, ChatGPT, Harvey, and Legora in verified, structured, real-time prosecution history, turning high-risk AI guesswork into a secure, predictable platform advantage.
Whether you are an existing client looking to activate your newly expanded package or a prospect seeking true IP data independence, this session will show you how to ground frontier AI models in 15+ years of deterministic automation expertise.
Thomas Marlow is the Chief Artificial Intelligence Officer (CAIO) at Black Hills AI, where he and the Black Hills team are building AI-powered products and automation services that are transforming IP legal services. Tom has also served as Black Hills AI’s Chief Technical Officer and the President of Black Hills Renewals. Today, Tom and his teams are driving innovation in Black Hills’ signature generative AI platform, Otto IP™, and enhancing the integration of artificial intelligence throughout Black Hills’ service portfolio. He is a registered patent attorney and electrical engineer with a background in technology and analytics and a passion for IP systems. He has provided tailored IP support related to all aspects of corporate practice. Early in his career, Tom learned techniques to quickly build datasets from massive amounts of patent data and to evaluate the results to drive strategy. This work led to a corporate leadership position driving global IP operations and strategy for the renowned Fairchild Semiconductor Corporation. In addition to maintaining a portfolio of several thousand patents, Tom managed patent development, litigation, licensing, and acquisition across the US, Europe, and Asia. Tom has advised companies from startups to household-name multinationals on IP strategy, operations, and policy, and has spoken before diverse audiences across the country, from patent attorneys to C-suite executives to engineers to startup founders, on patent management, analysis, and strategy. He also coauthored the LexisNexis IP Law & Strategy Series book, “U.S. Patent Prosecutor’s Desk Reference,” an indexed analysis of appeals decisions for use in prosecuting patent applications that is now in its 14th year of publication.
Dr. Manjeet Rege is a globally recognized academic, author, and keynote speaker at the forefront of artificial intelligence and data science. He serves as Professor and Chair of the Department of Software Engineering and Data Science at the University of St. Thomas in Minnesota, where he also directs the Center for Applied Artificial Intelligence. With over two decades of deep expertise in AI and data science, Dr. Rege has built a distinguished record of scholarship, with more than 100 peer-reviewed publications spanning machine learning, data analytics, and responsible AI. He serves on the editorial review boards of leading journals and regularly participates in program committees of international conferences, reflecting the global reach and impact of his research contributions. A sought-after thought leader and media commentator, Dr. Rege is frequently featured in television, print, and digital media, offering an expert perspective on the most pressing developments in machine learning, generative AI, and the ethical dimensions of emerging technology. He was named a Leading Academic Data Leader by CDO Magazine and is a recipient of the Tekne Award for Tech Educator of the Year from the Minnesota Technology Association, one of the most prestigious recognitions in the Minnesota technology community. Dr. Rege is the author of "Ethics and Governance of Artificial Intelligence: Frameworks, Risks and Society," a timely and authoritative work that examines the risks, frameworks, and societal implications of AI at a moment when these questions have never been more consequential. As an advisor to organizations navigating the complexities of AI adoption and data strategy, he brings a rare combination of scholarly depth, real-world experience, and a clear-eyed vision for where the technology is headed.
