Conrad Everhard, founder of Flatiron Law Group discusses his career trajectory from Georgetown University to becoming a partner at Big Law firms Jones Day and Brian Cave. He explains why he left BigLaw to found Flatiron Law Group, to provide a more cost effective and efficient way to offer legal services to clients involved in mergers and acquisitions. To do so, the firm leverages a multi-pronged model: flat fees, low overhead, general contract labor to assist with the more labor intensive parts of an M&A deal, and advanced technology, including the firm's own custom build Deal Driver software that provides the clients with data and other insight about the deals they are working on. Conrad also talks about his work with Stanford’s Codex project, where he is helping develop an AI based negotiation simulator to train young lawyers in M&A deals. He highlights the importance of capturing the decision-making process of senior lawyers to effectively guide the AI model. Key Discussion Points & Timestamps: Transition from Big Law to Entrepreneurship: [0:40 - 13:03] The Flatiron Model: [14:16 - 26:48] Work with Codex and AI in Legal Training: [26:48 - 33:00] Resources & Links: Flatiron Law website: flatiron.legal Episode Credits Production: Grant Blackstock Theme Music: Home Base (Instrumental Version) by TA2MI   Want to keep up to date about new episodes? Technically Legal Update List. Want to learn more about Percipient (percipient.co)? Follow Chad on Linkedin: Chad Main | LinkedIn Follow the podcast on LinkedIn: Technically Legal | LinkedIn Follow the podcast on Instagram: Technically Legal | Instagram Follow the podcast on X: Technically Legal | X