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Conclusion and Final Thoughts
The host expresses gratitude to the guest and audience, encouraging them to support the podcast and pursue their ideas.
In this episode of the Fringe Legal podcast, host Ab interviews Stefan Ciesla, the co-founder and CEO of Ayora ai, a startup that focuses on helping law firms manage their revenues and improve the revenue management skills of fee earners such as attorneys and lawyers.
Steven discusses the problem Ayora is solving in the legal industry and the role of lawyers as revenue managers. He explains that fee earners often have to make revenue management decisions throughout a matter's lifecycle, but they may not have the necessary skills or focus on revenue management. Ayora's smart lockup assistant helps fee earners by scanning a firm's data related to matters and providing recommendations on monitoring scope, estimates, budgets, resourcing, outside counsel guidelines, and billing. The assistant pre-drafts emails and provides relevant information to make the decision-making process easier and more efficient. Steven also addresses the challenge of balancing AI and machine learning with human control and building trust in the recommendations made. He emphasizes that Ayora prioritizes transparency and user consent and never takes any action without the attorney's knowledge.
Key takeaways:
Uncommon learning
The legal industry may be missing out on billions of dollars of additional value due to suboptimal revenue management decisions.
Podcast show notes
00:02 Introduction to the Fringe Legal Podcast
00:29 Guest Introduction: Stefan Ciesla, Co-founder and CEO of Ayora
00:58 Steven's Background and Ayora's Founding Team
02:07 The Unique Blend of Ayora's Founding Team
02:55 Understanding Ayora's Mission and Purpose
04:24 The Role of Lawyers as Revenue Managers
04:43 The Impact of Decision-Making on Revenue Management
08:28 Introducing Ayora's Smart Lockup Assistant
20:20 The Role of AI and Machine Learning in Decision-Making
27:05 The Impact of Fixed Fee Work on Revenue Management
30:12 Conclusion and Contact Information
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