Chinese labs aren't just catching up — they're pioneering the techniques Western models adopt, sharing them under open licenses, and training them on chips that weren't supposed to exist.
Every headline called Kirkland's $500M commitment an AI bet. The signals in the announcement — no named model, full exclusivity, value-based pricing — point to something different: an infrastructure play that happens to run AI.
A former Latham associate vibe-coded a Harvey clone in two weeks and open-sourced it. The tech wasn't the hard part — and that's the point. Here's what mid-size firms should learn about what legal AI vendors actually sell.