Legal tech is still using keyword search. That is a massive waste of what AI can actually do.
In this episode of CTO Confidential, Mike Rispoli sits down with Lawrence Krubner, CTO of Scorealytics, to dig into the frontier problems that AI is now making possible to solve. Lawrence has been building on the web since 2002, and his perspective on how each generation dismisses the next is eye-opening.
We talk about why minimalism matters when AI removes the need for it, how antagonistic agents from different LLMs can verify information with high confidence, and why open-source models are often better than frontier models when you have the right architecture. Lawrence shares how legal tech is wasting AI by treating it as a fancy search tool instead of using it to extract nuanced meaning from unstructured text.
This is a conversation about managing AI-generated code, the importance of forward deployed engineers, and the languages that were designed for the problems AI is now solving.
What we cover:
- Origin story from early web days to CTO at Scorealytics
- Every generation of programmers dismisses the next
- AI as the newest wave of simplification
- Ruby on Rails and frameworks that play well with AI
- Managing what to review in auto-generated code
- Strategic code review and decision points
- Junior engineers and training in the AI era
- Scorealytics and legal tech innovation
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