From Cambridge Physics to Legal AI | Alan Yahya, Lexifina

Описание: After building language models for materials science at Cambridge, he asked: what's a better fit for this technology?

The answer was legal.

Now he's building Lexifina - an AI platform for boutique law firms that handles client intake and document drafting.

In this conversation, we get into what's actually working in legal AI, what's not, and what most founders get wrong.

We cover:
→ His path from physics research to legal tech
→ Why boutique firms are different from Big Law
→ How to build for lawyers when you're not one
→ The vibe coding trend and what it means for startups
→ Robin AI's collapse and the Microsoft acqui-hire
→ Why fine-tuning is overhyped
→ The billable hour paradox
→ His advice for founders entering this space

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TIMESTAMPS:
0:00 - Alan's background
1:43 - What Lexifina does
3:13 - Building for lawyers as an outsider
4:59 - In-house vs law firm adoption
6:08 - Lawyers vibe coding their own tools
8:50 - What separates winners from losers
11:22 - Robin AI collapse & Microsoft
13:30 - The billable hour paradox
17:20 - Small language models for legal
20:15 - Is fine-tuning dead?
21:53 - What people are missing
23:17 - Advice for founders

Product in Motion is a show about how AI-native startups make decisions while the rules are still being written.

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