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Internal investigations under the proposed Association Sanctions Act – what will companies need to consider in the future?
10 June 2021, 3.00pm CEST
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Internal investigations under the proposed Association Sanctions Act – what will companies need to consider in the future?
Overview
This webinar presentation hosted by Legal Business magazine and sponsored by OpenText is designed to provide leading German general counsel and antitrust & competition, compliance & investigations and white-collar crime lawyers with guidance on the practical steps that can be taken to mitigate, manage and overcome the different stages of the Association Sanctions Act (VerSanG).
The ‘Act to Strengthen Integrity in Business’ – and with it also the VerSanG gives associations (companies) time to review their internal processes and, if necessary, take (further) compliance measures or introduce a risk-appropriate compliance management system for the first time.
There will be two 20-minute presentations that will each be followed by 10-minute Q&As
The first presentation by Dr Philipp Gergen will answer the key questions to emerge from the legislation including the state of the current law including its core elements, requirements for internal investigations, requirements for fair trial and co-operation.
The second presentation by Mr Patrick Kandel will cover the critical stages of managing data – the collection, preparation, analysis and investigation.
Language: German
Speakers
Dr Philipp Gergen, LLM
Noerr Law Firm Dr Philipp Gergen, LLM is a rechtsanwalt (lawyer) and associated partner at Noerr law firm. His expertise includes internal investigations, compliance, banking and capital market law and litigation.
Mr Patrick Kandel
Opentext Mr Patrick Kandel manages the eDiscovery service as director eDiscovery in the DACH region at Opentext. With 15 years of experience at implementing information retrieval and eDiscovery services, he is a longtime service engineer, principal architect and entrepreneur. In addition he has significant expertise in implementing and applying machine learning for the categorisation and analysis of text documents to augment processes and human capabilities.