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Legal and Practical Consequences of Generative AI (e.g., LLMs like GPT, Bart, PaLM, LLaMA, Alpaca, Codex)

by Damien Riehl | at Minnebar 17

Lawyer (20-year litigator) and coder (building AI tools atop 750M legal documents) Damien Riehl will lead a discussion about Generative AI β€” practical and legal implications:

  • How large language models (LLMs) are radically transforming knowledge work:
    • Coding
    • Lawyering
    • Every job whose primary tool is symbolic representation (e.g., words, code).
    • That's you. And me. πŸ€“
  • Legal battles currently being fought in court
    • "Can OpenAI and GitHub train Codex on MIT-licensed code stored on GitHub?"
    • "How about Stable Diffusion, which is being sued by Getty Images, for copyright infringement?"
    • "Is GenerativeAI's output copyrightable?"
    • "Is any of the above fair use?"
  • Practical consequences
    • Coders can 10x or 100x their output
    • Does that mean:
      • Work only 10% of the time?
      • Work 100% of the time β€” but your employer will require 10x or 100x output?
      • ...and that employer will fire 90% of your colleagues who don't do 10x or 100x?

Knowledge work is a massive part of the U.S. economy. Coders and lawyers are in the same boat. Join this discussion, where we'll talk about the implementations. Our jobs depend upon it!

All levels

Damien Riehl

Damien Riehl is a lawyer and technologist with experience in complex litigation, digital forensics, and software development. A coder since 1985 and for the web since 1995, Damien clerked for the chief judges of state and federal courts, practiced in complex litigation for over a decade, has led teams of cybersecurity and world-spanning digital forensics investigations, and has led teams in legal-software development.

Co-Chair of the Minnesota Governor’s Council on Connected and Automated Vehicles, he is helping recommend changes to Minnesota statutes, rules, and policies β€” all related to connected and autonomous vehicles.

Damien is Chair of the Minnesota State Bar Association's working group on AI and the Unauthorized Practice of Law (UPL).

At SALI, the legal data standard he led for years, Damien developed and greatly expanded the taxonomy of over 18,000 legal tags that matter, helping the legal industry's development of Generative AI, analytics, and interoperability.

At vLex Group β€” which includes Fastcase, NextChapter, and Docket Alarm β€” Damien helps lead the design, development, and expansion of various products, integrating AI-backed technologies (e.g., GPT) to improve legal workflows and to power legal data analytics.

In 2019, Damien gave a TEDx Talk about his All the Music project, which to date has computationally composed over 400,000,000,000 (400B) melodies, has written them to disc (fixed in a tangible medium), and has given the public access through Creative Commons Zero (CC0), which provides rights similar to rights to works in the Public Domain. Arguably improving copyright law through legal decisions that appeared to draw upon his TEDx Talk's arguments.

β€œThis guy [Damien] rocks!” - Elon Musk

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Links:

  • Twitter: @damienriehl