Patent professionals are under increasing pressure to manage growing workloads without sacrificing the quality, security, or precision their clients expect. As patent portfolios become more complex, attorneys spend valuable time reviewing documents, organizing information, navigating disconnected systems, and completing repetitive administrative tasks.
The right AI tools can streamline many of these responsibilities, but only if they can securely connect with the systems firms already use. That’s where Model Context Protocol (MCP) comes in.
Black Hills AI recently hosted a webinar exploring how Model Context Protocol (MCP) is transforming patent workflow automation. During the discussion, Dr. Manjeet Rege, director of the Center for Applied Artificial Intelligence at the University of St. Thomas, and Tom Marlow, chief AI officer at Black Hills AI, explored how AI is reshaping patent practice and what IP professionals need to know as AI adoption continues to grow.
What Is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an emerging standard that allows AI to securely connect with the software, data, and systems that patent professionals already use. Instead of manually moving information between applications, MCP creates a standardized way for AI to interact with approved resources while maintaining appropriate security and authentication.
As Marlow explained during the webinar, MCP “allows an assistant like Claude or ChatGPT to securely connect to your actual data,” including live USPTO file histories, IP management systems, document repositories, and other approved resources. By removing many of the barriers that have traditionally limited AI’s ability to work across multiple platforms, MCP allows attorneys to navigate fewer disconnected applications while focusing on higher-value legal work.
Why Patent Workflow Automation Matters
While AI continues to advance, its greatest value isn’t replacing attorneys. It’s helping them reduce administrative work so they can focus on delivering strategic legal guidance. Marlow summarized the opportunity simply: “The real question for this profession isn’t headcount. The question is, ‘Where do the hours go?'”
Earlier in the webinar, Rege emphasized that AI exposure should not automatically be viewed as job loss. Instead, he explained that organizations should think about AI as an opportunity to redesign work through augmentation and transformation, allowing professionals to focus on higher-value responsibilities while AI handles routine tasks.
Rather than measuring AI’s success by reducing staff, Marlow encouraged firms to focus on where automation creates the greatest impact: giving attorneys more time for strategic legal work, client counseling, and decision-making. When routine tasks become more efficient, firms can improve productivity without sacrificing the quality of their work.
Effective patent workflow automation isn’t about replacing attorneys. It’s about equipping them with tools that enhance efficiency while preserving the expertise, oversight, and professional judgment clients expect.
Looking Beyond Today’s AI Capabilities
As AI continues to evolve, adopting a single tool won’t be enough to keep pace with the future of patent practice. Organizations need a thoughtful strategy for implementing legal AI responsibly, establishing governance policies, and preparing employees to work alongside increasingly capable technology.
Rege explained that “we have moved past simple chat tools into agentic AI systems that can act, not just answer.” He also cautioned that organizations should no longer view AI as a one-time technology evaluation because “the technology is moving fast, but adoption inside organizations is moving even faster.”
For law firms, that means looking beyond today’s use cases and preparing for a future where AI can securely interact with multiple systems and support increasingly sophisticated workflows. Firms that invest in secure infrastructure, clear governance, and continuous education will be better positioned to adapt as AI continues to mature.
Human Expertise Still Leads the Way
While AI can automate routine tasks and improve efficiency, it cannot replace the professional judgment attorneys bring to every client engagement. Legal strategy, client advocacy, ethical decision-making, and final work product remain responsibilities that require human expertise.
Marlow explained that while AI can handle research, summaries, drafts, and document analysis, “the judgment calls still land on a person’s desk. They just land there faster and cleaner.” Legal conclusions, strategic client counseling, advocacy, and professional responsibility remain firmly in the hands of attorneys.
AI adoption isn’t about replacing attorneys. It’s about empowering them with technology that eliminates unnecessary manual work and allows them to focus on the strategic legal guidance clients value most.
Ready to Explore Secure AI for Your Firm?
Successfully adopting AI requires more than new technology. It requires secure, purpose-built solutions that support the way IP professionals work.
As Marlow explained during the webinar, “the professional stuff remains while the drudgery decreases.” That’s exactly what Black Hills AI helps law firms and corporate legal departments achieve by automating complex patent workflows so attorneys can spend less time on repetitive administrative work and more time delivering the strategic legal guidance their clients value most.
If you’re exploring how secure AI can support your intellectual property practice, connect with the Black Hills AI team to learn how its attorney-built AI solutions can help your firm improve patent workflow automation while keeping attorneys in control.