Building reliable AI agents with Cai GoGwilt CTO of Ironclad
Jun 4, 2024
auto_awesome
CTO of Ironclad, Cai GoGwilt, talks about using generative AI in contract negotiation. Ironclad's success in deploying AI agents in sensitive industries. Building a visual programming language for reliable agents. Advice for AI leaders starting product development.
Ironclad automates 50% of contracts with generative AI, showcasing efficient use in contract negotiation.
Development of visual AI programming language like Rivet enhances human-AI collaboration and accelerates AI innovation.
Deep dives
Rising Potential of AI in Contract Management
Contracts and internet content generated by AI are on the rise, signaling a shift towards utilizing AI in various fields. Companies like Ironclad have embraced Large Language Models (LLMs) to automate contract negotiation, with top customers now automating 50% of their contracts through AI tools. Integrating generative AI into contract negotiation has streamlined the process, allowing lawyers to configure positions and utilize AI to make necessary modifications automatically.
Evolution of AI Development Tools like Rivet
Ironclad's development of Rivet, a visual AI programming language, has enabled the creation of AI agents that reason about text and tools. The tool allows for visualizing and debugging complex LLM interactions, showcasing the power of agents in enhancing human-AI collaboration. Rivet's adoption in Ironclad's AI development underscores the importance of visual programming environments in accelerating AI innovation.
The Significance of User Feedback in AI Development
The iterative nature of AI development, emphasized by releasing products early and gathering user feedback, plays a crucial role in uncovering unforeseen use cases and enhancing AI capabilities. Users often showcase innovative ways of leveraging AI tools, revealing new functionalities beyond initial design expectations. User engagement is pivotal in augmenting AI applications to meet evolving user needs and uncovering novel features.
Anticipating AI Advancements and Implications on the Legal Industry
As advancements in AI, like the release of future models such as GPT-5, reshape AI capabilities, the legal industry stands to undergo transformative changes. The potential for enhanced automation in contract reviews and negotiation through AI agents could redefine legal work dynamics. Balancing human oversight with AI advancements will be critical in navigating the evolving landscape of AI-driven legal practices.
50% of AI contracts at Ironclad’s largest customers are now automatically negotiated with the help of generative AI. Ironclad were one of the earliest adopters of LLMs, starting when the best model was still GPT-3. There’s a lot of hype around AI agents without many successful examples but Ironclad had successfully deployed them in one of the most sensitive industries imaginable.
In this episode Cai explains how they achieved this. Why they had to build their own visual programming language to make agents reliable and shares his advice for AI leaders starting to build products today.
Where to find us: https://hubs.ly/Q02z2J6v0
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode