{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Fringe Legal Presents Bots @ Work","title":"How I built a law firm with AI agents with Helen Fan","html":"","width":"100%","height":180,"duration":2770,"description":"Helen Fan has been building an AI-native law firm from scratch, in public, for 50 days. Not a demo. Not a prototype. A real practice with AI agents handling legal strategy and research, and she's documenting every stumble along the way.In this episode, we get into what that actually looks like: the agents, the arguments, the security concerns, and the hard questions about whether AI-native firms and traditional law firms are on a collision course or just running separate races.In this episode:How Helen built OpenClaw Law LLP with two AI agents, Morgan and Cleo, and why agent-to-agent argument reports matter more than most people realiseThe practical pain of open-source agent frameworks: stability issues, setup overhead, and the security surface that opens up the moment you connect an agent to real systemsThe Legal AI Value Stack — five levels of AI maturity in law, and why most firms are still stuck at the bottom twoHow Big Law and AI-native firms are competing on entirely different timelines, and why the boutique model might be the one that actually movesWhat Helen is telling firms just starting out: start with mindset, build the orchestration layer, and don't skip workflow integrationTimestamps:00:00 — Helen's OpenClaw Law LLP experiment: what an AI-native law firm looks like in practice02:20 — Agent-to-agent communication and argument reports: why they reduce hallucinations04:10 — Stability, troubleshooting, and the real cost of open-source frameworks07:00 — The Legal AI Value Stack: five levels of AI maturity and where the moats actually are12:00 — Why most firms are still at level one or two16:00 — Proprietary data and the scaling wall19:00 — Big Law vs AI-native firms: speed, trust, and structural barriers23:00 — Guardrails, verification, and building an orchestration layer that holds34:00 — Vendor moats, platform plays, and what M&A in legal AI actually looks like39:00 — What makes a law firm genuinely AI-native, not just AI-curious43:00 — Where to start:...","thumbnail_url":"https://img.transistorcdn.com/55XUXjvsWLqLU52xjYKY9VDcCWO15OPHbvbij_RZ5t8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ZWY3/NDQ4MDg5MWE4MzEx/YTcxZWU2MmFkNTE1/YjJiNi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}