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المحتوى المقدم من Lawyers Weekly and Momentum Media. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Lawyers Weekly and Momentum Media أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Key AI use cases and the importance of experimentation

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Manage episode 453815430 series 2420032
المحتوى المقدم من Lawyers Weekly and Momentum Media. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Lawyers Weekly and Momentum Media أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this special episode of The Lawyers Weekly Show, produced in partnership with Thomson Reuters, we dive into the transformative impact of AI on the legal profession and the importance of early adoption and experimentation in leveraging this technology.

Host Lauren Croft speaks with Thomson Reuters business development manager Ziggy Cheng and director of legal transformation Tyrilly Csillag to discuss how AI is reshaping workflows, improving client service, and fostering innovation in firms and legal departments of all sizes.

Cheng and Csillag share practical insights on AI adoption, including key use cases, strategies for smaller firms to level the playing field, and the critical role of staff training and human expertise in maximising AI’s potential. They also explore best practices for experimenting with AI, overcoming barriers to adoption, and the future of legal practice as AI continues to evolve, offering actionable advice for practitioners navigating an increasingly digital profession.

If you like this episode, show your support by rating us or leaving a review on Apple Podcasts (The Lawyers Weekly Show) and by following Lawyers Weekly on social media: Facebook, Twitter and LinkedIn.

If you have any questions about what you heard today, any topics of interest you have in mind, or if you'd like to lend your voice to the show, email editor@lawyersweekly.com.au for more insights!

  continue reading

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Artwork
iconمشاركة
 
Manage episode 453815430 series 2420032
المحتوى المقدم من Lawyers Weekly and Momentum Media. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Lawyers Weekly and Momentum Media أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this special episode of The Lawyers Weekly Show, produced in partnership with Thomson Reuters, we dive into the transformative impact of AI on the legal profession and the importance of early adoption and experimentation in leveraging this technology.

Host Lauren Croft speaks with Thomson Reuters business development manager Ziggy Cheng and director of legal transformation Tyrilly Csillag to discuss how AI is reshaping workflows, improving client service, and fostering innovation in firms and legal departments of all sizes.

Cheng and Csillag share practical insights on AI adoption, including key use cases, strategies for smaller firms to level the playing field, and the critical role of staff training and human expertise in maximising AI’s potential. They also explore best practices for experimenting with AI, overcoming barriers to adoption, and the future of legal practice as AI continues to evolve, offering actionable advice for practitioners navigating an increasingly digital profession.

If you like this episode, show your support by rating us or leaving a review on Apple Podcasts (The Lawyers Weekly Show) and by following Lawyers Weekly on social media: Facebook, Twitter and LinkedIn.

If you have any questions about what you heard today, any topics of interest you have in mind, or if you'd like to lend your voice to the show, email editor@lawyersweekly.com.au for more insights!

  continue reading

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