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Legal realism is the view that jurisprudence should emulate the methods of natural science; that is, it should rely on empirical evidence.

As applied to AI, it is testing hype against actual applications to real-world legal problems.

The data and methods are open source, inviting scrutiny, replication, and extension by the broader legal and technical community.

The mission is to advance an evidence-based understanding of where AI genuinely serves the practice of law—and where it does not.

Bio
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I am a practicing lawyer with a background in cognitive science. I started LegalRealist to share experiments, data, and thoughts about the intersection of AI and legal practice.

My interests include webscraping, data analysis, and vibe coding.

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Get in touch if you have questions or comments about my work, or want to collaborate.

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