Panel Discussion: Intellectual Property in the Era of Vibe Coding
Panel Discussion: Intellectual Property in the Era of Vibe Coding
When code becomes commoditized, what actually gets protected?
A focused, in-person panel hosted at a law office, bringing together legal, AI, and strategy leaders to unpack how intellectual property (IP) is evolving in a world driven by AI-assisted development and “vibe coding.”
Why This Panel Matters
AI tools are rapidly commoditizing code generation
Barriers to building software are collapsing
Differentiation is shifting from code → ideas, data, workflows, and execution
Organizations face new risks around ownership, licensing, and compliance
Key Discussion Topics
Is code still protectable IP?
Patents vs copyrights in AI-generated code
What qualifies as ownership in AI-assisted development
AI-generated output: who owns it?
Developer vs employer vs model provider
Legal ambiguity in commercial usage
Shift from code to systems
Protecting:
Architecture
Data pipelines
Proprietary workflows
Domain knowledge
Enterprise risk and governance
Data leakage and model exposure
Regulatory direction impacting AI + IP
Future competitive advantage
If everyone can build, what creates defensibility?
Speed vs ownership vs trust
Panelists
Stephano Salani — Intellectual Property Lawyer
Licensed in Ontario, Washington DC, and Florida
Mechanical Engineering background
Works with innovators across robotics, aerospace, and medical tech
Focus:
Patent strategy and IP protection
Translating engineering innovation into defensible assets
Perspective: How creators retain ownership in a commoditized build environment
Yulia Pavlova, PhD — Applied AI & Governance Leader
Experience across RBC Borealis AI and Reuters
Leads AI initiatives balancing innovation, risk, and business outcomes
Expertise:
ML governance
Experimentation and data integrity
Explainability and responsible AI
Perspective: Ownership boundaries, governance, and real-world AI risk
Mohit Rajhans — Innovation & Governance Strategist
Founder, ThinkStart.ca
Advisor on digital transformation, workforce strategy, and governance
Background in media, communications, and institutional strategy
Focus:
Leadership decision-making in tech disruption
Responsible adoption and organizational trust
Perspective: How institutions adapt IP, governance, and workforce models in AI era
Who Should Attend
Directors / Senior Managers (AI, Data, Engineering, Product)
Executives (CIO, CTO, Innovation Leaders)
Legal & Compliance Professionals (IP, Risk, Governance)
Tech Professionals (Developers, Architects, AI Engineers)
Startup Founders & Builders
Expected Takeaways
Clear view of IP ownership in AI-generated outputs
Practical approach to protecting value beyond code
Enterprise perspective on risk, governance, and compliance
Strategic insight into future defensibility in AI-driven software
About the Hosts & Partners
Dipchand LLP
A Toronto-based law firm specializing in intellectual property, corporate law, and litigation. Dipchand LLP works closely with innovators, startups, and enterprises to protect and commercialize ideas—from early-stage patents to complex legal disputes. The firm brings deep expertise at the intersection of technology, engineering, and law.
TorontoAI
A growing AI community and meetup platform in Toronto focused on bringing together developers, founders, researchers, and operators. Through panels, demos, and networking events, TorontoAI enables practical conversations around AI, cloud, and emerging technologies.
beCloudReady
An AI and cloud training and enablement platform focused on real-world skills. beCloudReady provides hands-on labs, bootcamps, and learning programs across AI infrastructure, DevOps, and data platforms—helping professionals and organizations build production-ready capabilities.