PodcastJanuary 26, 2026
AI in Action E558: Building AI-powered solutions for the legal industry.
Jimi's journey from self-taught engineer to enterprise AI transformation lead at ALM — and a candid look at why AI projects fail, what changes in product teams when AI lands, and the skills that travel.
By Jimi Li
A wide-ranging conversation about leading AI transformation inside a legal media and data company that serves 7M+ professionals — what worked, what didn't, and the shape of the next twelve months.
What we cover
- From engineer to AI transformation lead. The path through GE Capital, L'Oréal, Coach, News Corp, and ALM — and the patterns that travel across industries.
- AI as strategy, not feature. Why AI succeeds when it's integrated into product and operating strategy from the start, and fails when it gets bolted onto a roadmap that wasn't designed for it.
- What changes in product teams. Concrete shifts in how PMs, engineers, and QA work together once AI handles the translation layer — and the new bottleneck that surfaces underneath.
- Why AI projects fail. Three patterns: mindset gaps, context gaps, and workflow friction. Each one fixable, each one easy to underestimate.
- The two value categories that matter most. Employee efficiency vs. embedded ROI — and how to measure each without conflating them.
- The skills that travel. What technical leaders need to develop now — and what to stop investing in.