The R3 Podcast
The R3 Podcast
Podcast Description
The R3 Podcast provides insight into the key issues affecting the insolvency and restructuring profession from the people dealing with them. Each episode features an interview with someone from R3’s network of professionals about a key insolvency and restructuring related topic, supporting R3’s education and technical principle: ‘delivered by the profession, for the profession’.The podcast is hosted by R3’s Technical Manager Ben Luxford. Any members who would like to be a guest or want to submit ideas for future recordings can contact Ben at: [email protected]
Podcast Insights
Content Themes
This podcast covers key issues in insolvency and restructuring, including creditor-led Restructuring Plans, the role of insolvency in supporting the economy, and logistical considerations in litigation. Episodes like 'The Moratorium - A Corbin and King Experience' and 'Good Box or Bad Box' illustrate practical experiences and precedents in the profession.
The R3 Podcast provides insight into the key issues affecting the insolvency and restructuring profession from the people dealing with them.
Each episode features an interview with someone from R3’s network of professionals about a key insolvency and restructuring related topic, supporting R3’s education and technical principle: ‘delivered by the profession, for the profession’.
The podcast is hosted by R3’s Technical Manager Ben Luxford. Any members who would like to be a guest or want to submit ideas for future recordings can contact Ben at: [email protected]
This episode explores the rise of deepfake evidence and its implications for insolvency practitioners, highlighting real-life cases and courtroom experiences. Charlotte Hill and Dr Tristan Jenkinson discuss the types of deepfake evidence encountered, including audio, video, and document forgeries, and explain key concepts such as fabrication and manipulation. Get the practical advice and red flags for identifying falsified evidence, stressing the growing challenges posed by AI-driven fraud.
Originally presented at R3's SPG Forum 2025.
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