The Structural Barriers to AI Lawyers
Summary
The piece argues that despite powerful AI tools for legal drafting and research, diffusion in law is hindered by data moats, governance, risk, and the economics of the billable hour. It discusses the data moat around legal databases, the rise of AI-native and ABS firms, and the supervision and access-to-justice implications, highlighting the need for new risk-sharing models and governance frameworks.