I had the pleasure of attending the 2026 AI & IP Conference by WIPR and hearing from in-house counsel, outside practitioners, and technology providers about the rapidly changing role of AI in intellectual property practice.
What struck me most was that the conversation is no longer simply about what AI can do. The more important questions are becoming how these tools should be evaluated, governed, and integrated responsibly into legal and business workflows.
A few themes stood out:
🔹 Data security is becoming a central part of AI vendor selection. In-house teams are looking beyond general assurances and asking vendors for concrete information about system architecture, data routing, model training, encryption-key access, and tenant separation. Just as importantly, some organizations want those protections reflected in binding contract terms rather than left in presentations or security documentation.
🔹 Vendor diligence needs to account for operational and contractual risk. Newer AI companies may offer innovative tools, but firms and corporate legal departments also need to examine indemnification, liability for data loss or service interruptions, and the possibility of data commingling in multi-tenant environments.
🔹 There is no settled approach to preserving inventors’ AI interactions. Some organizations are considering or requiring retention of prompts and AI conversations to help document human contribution to inventive activity. Others apply ordinary information-governance policies or see comprehensive prompt retention as creating too much administrative burden. The differences suggest that organizations need a deliberate policy tailored to their workflows and risk tolerance.
🔹 Human oversight remains essential. Across discussions of invention disclosure, patent drafting, prosecution, and portfolio analysis, a consistent theme was that AI should support professional judgment rather than substitute for it. Organizations also need reliable ways to document when and how AI was used.
🔹 Patent-search technology continues to evolve. Vendors are exploring approaches beyond conventional large-language-model and retrieval-based systems, including smaller specialized models and representation-space techniques. Other platforms are applying AI to drafting, Office Action analysis, claim mapping, portfolio intelligence, and the identification of commercialization opportunities.
Many thanks to the organizers, speakers, and fellow attendees for the thoughtful discussions. I left with a stronger sense that successful adoption of AI in intellectual property practice will depend not only on technical capability, but also on security, contractual discipline, record keeping, and clearly defined human accountability.
