2) how does it work?
How can we trust AI with legal questions when it can't tell the difference between natural language and law? Staram is building the trust infrastructure for legal AI. This video breaks down its basic architecture, showing how it creates a fair marketplace where legal experts are compensated for their work and AI models can access trustworthy, dynamic legal data streams. We explore how Staram sits between AI and experts, using blockchain and smart contracts to ensure fairness and reliability for everyone.
Video Chapters
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0:00 A new legal AI architecture 1:48 Why current AI fails in the legal field 3:10 Shifting the model: AI as a consumer 4:13 A transparent revenue model for contributors 5:33 What's next for the project Timestamps by StampBot 🤖 (309-2-how-does-it-work)
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0:00 Introduction to how the project works and its architecture 0:17 Caveats: early stage, complex, dynamic domains, building openly 1:20 Imagining legal queries: from search engines to AI chatbots 1:48 The problem with current AI models in legal context 2:00 Aggregating and streaming queries for different legal areas 3:10 AI models are consumers; legal expertise is a paid service 4:13 Transparent revenue distribution through token usage for contributors 5:33 Project overview and what to expect in future discussions Timestamps by StampBot 🤖 (309-2-how-does-it-work)