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337: Will AI automate legal work? The future of lawyers with Scott Stevenson, Spellbook CEO.

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Manage episode 484967135 series 2986762
Content provided by Dan Turchin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Turchin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Scott Stevenson is the CEO and co-founder of Spellbook, a legal tech company transforming how attorneys review contracts with AI. Since launching in 2018, Spellbook’s AI copilot has been adopted by more than 1,700 legal teams and helps review over a million contracts annually. Scott recently led the company through a $20 million Series A backed by Inovia Capital, Thomson Reuters Ventures, The Legaltech Fund, and others. Before Spellbook, he founded Mune, a startup at the intersection of music and technology, and holds a BS in Computer Engineering from Memorial University in Newfoundland and Labrador.

In this conversation, we discuss:

  • Scott Stevenson’s journey from building electronic instruments to launching Spellbook, the world’s first generative AI copilot for lawyers.
  • Why contracts, not court cases, were the ideal entry point for legal AI and how Spellbook now helps 3,000+ legal teams review over a million contracts a year.
  • How AI is expanding access to legal services by reducing costs and enabling lawyers to serve the 70% of clients who previously couldn’t afford help.
  • Why AI won’t replace lawyers and how tools like Spellbook enhance human judgment rather than automate legal decisions.
  • Why now may be the best time to enter the legal field as AI eliminates drudgery and creates more room for strategy and client work.
  • What product-market fit really looks like and how Scott found it after testing more than 100 hypotheses before landing on a solution that clicked.
  • Why the best AI products embrace controlled chaos over rigid structure and how leaning into complexity reflects how the real world actually works.

Resources:

  continue reading

283 episodes

Artwork
iconShare
 
Manage episode 484967135 series 2986762
Content provided by Dan Turchin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Turchin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Scott Stevenson is the CEO and co-founder of Spellbook, a legal tech company transforming how attorneys review contracts with AI. Since launching in 2018, Spellbook’s AI copilot has been adopted by more than 1,700 legal teams and helps review over a million contracts annually. Scott recently led the company through a $20 million Series A backed by Inovia Capital, Thomson Reuters Ventures, The Legaltech Fund, and others. Before Spellbook, he founded Mune, a startup at the intersection of music and technology, and holds a BS in Computer Engineering from Memorial University in Newfoundland and Labrador.

In this conversation, we discuss:

  • Scott Stevenson’s journey from building electronic instruments to launching Spellbook, the world’s first generative AI copilot for lawyers.
  • Why contracts, not court cases, were the ideal entry point for legal AI and how Spellbook now helps 3,000+ legal teams review over a million contracts a year.
  • How AI is expanding access to legal services by reducing costs and enabling lawyers to serve the 70% of clients who previously couldn’t afford help.
  • Why AI won’t replace lawyers and how tools like Spellbook enhance human judgment rather than automate legal decisions.
  • Why now may be the best time to enter the legal field as AI eliminates drudgery and creates more room for strategy and client work.
  • What product-market fit really looks like and how Scott found it after testing more than 100 hypotheses before landing on a solution that clicked.
  • Why the best AI products embrace controlled chaos over rigid structure and how leaning into complexity reflects how the real world actually works.

Resources:

  continue reading

283 episodes

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