AI and Computable Contracts are Transforming Global Business with Vinay Chaudhri and Donna Mitchell

 Can AI Understand Legal Contracts Better Than Humans? 

Imagine a world where AI-powered contracts make legal agreements faster, smarter, and error-free. No more loopholes, delays, or misinterpretations—just precision and automation at a global scale. 

In this episode of Pivoting to Web3, Donna Mitchell sit down with Vinay Chaudhri, a leading expert in AI and computable contracts, to uncover how AI is transforming legal systems, business agreements, and even global policies.

🔥 Key Takeaways:
✅ What are computable contracts, and how are they different from smart contracts?
✅ How AI is reducing risk, cutting costs, and improving legal efficiency
✅ Why critical thinking & logic are essential in an AI-driven world 

Visit [mitchelluniversalnetwork.com](https://mitchelluniversalnetwork.com) for more updates.

 #AIContracts #ComputableContracts #SmartContracts #LegalTech #Automation #ArtificialIntelligence #Web3 #DigitalTransformation #PivotingToWeb3 #EmergingTech 

About Vinay Chaudhri: 

I am passionate about Artificial Intelligence, knowledge engineering and their application to a variety of domains including finance, education and law. My journey on this path is characterized by leadership roles, groundbreaking research and successful implementation of innovative technologies.

In my most recent role at JPMorgan Chase, my team leveraged large language models for a banker note classification task with a potential to increase the business by $500M. I undertook a careful technical comparison of graph database systems to help inform firm's graph database strategy.

At Stanford University, I helped launch a highly successful initiative to bring logic education to high schools across America, undertook education research necessary to for an intelligent textbook product, and contributed to formation of computational contracts initiative.

At SRI International, I formed and led a team that undertook groundbreaking work in knowledge engineering creating the largest axiomatization for a biology book that was incorporated into an intelligent textbook. I also led the development of an ontology and query manager for an intelligent assistant that was the precursor to Siri.

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