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AI for the Legal industry

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Manage episode 440512965 series 2285741
Conteúdo fornecido por Massive Studios. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Massive Studios ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Jay Madheswaran (Founder & CEO @ Eve) talks about bringing AI to the legal vertical and the intersection of AI/ML of increased efficiency for legal firms.
SHOW: 857
SHOW TRANSCRIPT: The Cloudcast #857 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:

Topic 1 - Welcome to the show. Before we jump into the legal industry and AI, let’s talk a little bit about your background. Give everyone a brief introduction.
Topic 2 -
What made you focus on the legal industry? When I think of forward leaning industries that quickly adopt new technologies, I don’t think of legal. What are the most common use cases?
Topic 3 -
Tell us a little bit about the tech behind the scenes. Do you use foundational models and then fine-tune them? Do you have your own custom models? What are your thoughts on the current state and future of models for specific industries or verticals?
Topic 4 -
Legal is a highly regulated space; how do your customers (law firms) think about data security and compliance? Tell everyone a bit about how all of this works.
Topic 5 -
Do your clients use RAG for custom information that needs to be brought into the models? How does all of that work for customer data?
Topic 6 -
When I think about legal, I think about two big areas. We covered compliance and the financial side of this, but what about the billing and financial side? How is ROI on legal AI calculated? Where and how does a legal AI help? Is this measured in hours saved, which translates into dollars saved?
Topic 7 -
Let’s close by discussing the people aspect. We keep hearing AI is going to take everyone’s jobs away. What are your thoughts on how this supplements vs. replace staff?

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  continue reading

919 episódios

Artwork

AI for the Legal industry

The Cloudcast

1,285 subscribers

published

iconCompartilhar
 
Manage episode 440512965 series 2285741
Conteúdo fornecido por Massive Studios. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Massive Studios ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Jay Madheswaran (Founder & CEO @ Eve) talks about bringing AI to the legal vertical and the intersection of AI/ML of increased efficiency for legal firms.
SHOW: 857
SHOW TRANSCRIPT: The Cloudcast #857 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:

Topic 1 - Welcome to the show. Before we jump into the legal industry and AI, let’s talk a little bit about your background. Give everyone a brief introduction.
Topic 2 -
What made you focus on the legal industry? When I think of forward leaning industries that quickly adopt new technologies, I don’t think of legal. What are the most common use cases?
Topic 3 -
Tell us a little bit about the tech behind the scenes. Do you use foundational models and then fine-tune them? Do you have your own custom models? What are your thoughts on the current state and future of models for specific industries or verticals?
Topic 4 -
Legal is a highly regulated space; how do your customers (law firms) think about data security and compliance? Tell everyone a bit about how all of this works.
Topic 5 -
Do your clients use RAG for custom information that needs to be brought into the models? How does all of that work for customer data?
Topic 6 -
When I think about legal, I think about two big areas. We covered compliance and the financial side of this, but what about the billing and financial side? How is ROI on legal AI calculated? Where and how does a legal AI help? Is this measured in hours saved, which translates into dollars saved?
Topic 7 -
Let’s close by discussing the people aspect. We keep hearing AI is going to take everyone’s jobs away. What are your thoughts on how this supplements vs. replace staff?

FEEDBACK?

  continue reading

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