
Sign up to save your podcasts
Or


In this episode, Ted welcomes back Richard Robbins and is joined by Brian Blaho from Reed Smith to discuss the challenges of integrating AI into legal research. You'll gain insights from the recent Stanford study, which highlights the limitations of current AI tools, and learn why these models often struggle with legal reasoning. If you’re exploring AI for your firm, this conversation highlights how transparency, collaboration, and smart implementation drive innovation.
In this episode, Richard and Brian share insights on how to:
Key takeaways:
About the guests, Richard Robbins and Brian Blaho:
Richard Robbins is the Director of Applied AI at Reed Smith, leading AI and data science initiatives. A former law firm partner and general counsel, he specializes in legal tech and generative AI. Richard also supports UC Berkeley’s graduate class on generative AI and frequently writes and speaks on the subject.
Brian Blaho is the Global Director of Library Services at Reed Smith, managing library operations, budget, and innovations. With over 20 years in legal research, Brian focuses on legal tech and analytics. He leads global research and training and is active in professional associations.
“It’ll be up to the vendors who build on top of the [legal AI] models to add the other workflows, the agentic systems, and other elements to get us there.” – Richard Robbins
“Generative AI can potentially help us get much better results so that we have to either spend far less time reading through and curating which ones we're going to pass on or no time at all.” – Brian Blaho
Connect with Richard Robbins and Brian Blaho:
Website: https://www.reedsmith.com
Richard’s LinkedIn: https://www.linkedin.com/in/richard-robbins-a88014117/
Brian’s LinkedIn: https://www.linkedin.com/in/brian-b-37684524/
Connect with Ted Theodoropoulos:
Website: https://getinfodash.com/
LinkedIn: https://www.linkedin.com/in/tedtheo
YouTube: https://www.youtube.com/@getinfodash/podcasts
By Infodash5
99 ratings
In this episode, Ted welcomes back Richard Robbins and is joined by Brian Blaho from Reed Smith to discuss the challenges of integrating AI into legal research. You'll gain insights from the recent Stanford study, which highlights the limitations of current AI tools, and learn why these models often struggle with legal reasoning. If you’re exploring AI for your firm, this conversation highlights how transparency, collaboration, and smart implementation drive innovation.
In this episode, Richard and Brian share insights on how to:
Key takeaways:
About the guests, Richard Robbins and Brian Blaho:
Richard Robbins is the Director of Applied AI at Reed Smith, leading AI and data science initiatives. A former law firm partner and general counsel, he specializes in legal tech and generative AI. Richard also supports UC Berkeley’s graduate class on generative AI and frequently writes and speaks on the subject.
Brian Blaho is the Global Director of Library Services at Reed Smith, managing library operations, budget, and innovations. With over 20 years in legal research, Brian focuses on legal tech and analytics. He leads global research and training and is active in professional associations.
“It’ll be up to the vendors who build on top of the [legal AI] models to add the other workflows, the agentic systems, and other elements to get us there.” – Richard Robbins
“Generative AI can potentially help us get much better results so that we have to either spend far less time reading through and curating which ones we're going to pass on or no time at all.” – Brian Blaho
Connect with Richard Robbins and Brian Blaho:
Website: https://www.reedsmith.com
Richard’s LinkedIn: https://www.linkedin.com/in/richard-robbins-a88014117/
Brian’s LinkedIn: https://www.linkedin.com/in/brian-b-37684524/
Connect with Ted Theodoropoulos:
Website: https://getinfodash.com/
LinkedIn: https://www.linkedin.com/in/tedtheo
YouTube: https://www.youtube.com/@getinfodash/podcasts

388 Listeners

1,087 Listeners

8 Listeners

2,106 Listeners

77 Listeners

9,191 Listeners

25 Listeners

37 Listeners

9,844 Listeners

5,466 Listeners

15,967 Listeners

2,296 Listeners

561 Listeners

3 Listeners

0 Listeners