On 11 September 2026, the 7th IT Women Lawyers’ Day will take place at HÄRTING Rechtsanwälte in Berlin. The BarCamp on digitalisation and the law is being organised by Marlene Schreiber of HÄRTING Rechtsanwälte and Nina Diercks of Diercks Law Firm. The IT Women Lawyers’ Day is not a traditional conference, but thrives on peer-to-peer exchange. Instead of rigid panel discussions, participants shape the day together: with their own topics, questions, experiences and perspectives. Through parallel sessions, this creates a bespoke programme covering IT law, data protection, AI, legal tech and other current topics in the digital legal world. The event is aimed at IT lawyers, data protection officers, IT security managers and anyone dealing with the legal aspects of digitalisation. The focus is on professional exchange, networking, visibility and mutual inspiration.

Artificial intelligence has long since found its way into many companies – including finance departments, for example in reporting, credit risk management or creditworthiness analyses. However, the use of AI raises numerous legal questions. In her article, Marlene Schreiber outlines the requirements companies must observe and explains why AI compliance is not merely a matter of the AI Regulation. The focus is particularly on data protection law, the AI Regulation, copyright law, employment law and the establishment of effective AI governance.

On 1 and 2 October 2026, the editorial team of the journal *Privacy in Germany* (PinG) is once again hosting a workshop for early-career professionals in data (protection) law in Berlin. The event will take place at the offices of HÄRTING Rechtsanwälte. The workshop is aimed at young academics, trainee lawyers, those starting their careers and anyone else interested in current issues relating to data (protection) law. The focus is on professional exchange, discussing current developments and the opportunity to present one’s own topics, theses or research questions. Anyone wishing to give a presentation to a young specialist audience, discuss theses from a doctoral project or further develop a research question for an essay is welcome to submit a contribution. We are happy to publish good contributions in PinG following the workshop.

This article examines key regulatory developments in technology law, with a particular focus on platform-based business models. Against the backdrop of the growing economic significance of digital platforms, it highlights how the originally liberal regulatory approach has gradually evolved into a significantly stricter legal framework. It addresses, in particular, new liability risks for platform and hosting providers, stricter duties of care towards commercial users, increasing data protection requirements, the implications of Schrems II, and the growing importance of cybersecurity.

The 2021 updated edition of *Responsible AI: A Global Policy Framework* further develops ITechLaw’s global framework for the responsible use of artificial intelligence. The publication explores eight key principles of responsible AI in greater depth – including ethical purpose and societal benefit, accountability, transparency and explainability, fairness and non-discrimination, safety and reliability, open data and fair competition, data protection, and intellectual property. The framework is complemented by a Responsible AI Impact Assessment Tool, which helps organisations assess risks and develop appropriate mitigation measures.

The Green Paper ‘Responsible AI: The EU AIA’ analyses the draft EU Artificial Intelligence Act from the perspective of responsible AI governance. The policy analysis, published by ITechLaw, compares the regulatory approaches of the EU AIA with ITechLaw’s Responsible AI Principles and assesses key requirements relating to transparency, risk management, accountability and compliance. The publication is the result of an international collaboration involving 34 lawyers from 32 law firms across 14 jurisdictions and provides a well-founded assessment of European AI regulation within a global context.

The Cross-Border Guide to ESG & Sustainable Finance provides an international overview of key regulatory developments in the field of ESG and sustainable finance. This digital publication by TerraLex covers more than 20 jurisdictions and addresses, amongst other things, statutory disclosure requirements, comparable regulatory initiatives, the rights and liability risks of shareholders and investors, ESG-related prohibitions and restrictions, tax and other benefits of sustainable investment decisions, and measures to combat greenwashing.

This publication provides a practice-oriented overview of key restructuring regimes in selected jurisdictions, including several EU Member States, Switzerland, the United Kingdom and the USA. The respective national frameworks are systematically presented on the basis of standardised criteria – such as scope of application, eligibility requirements, self-administration, effects of the commencement of proceedings, restructuring instruments, new financing, classes of creditors, consent requirements, confidentiality and recognition. The focus is on the growing international dimension of corporate restructuring and the question of how the advantages of different legal systems can be exploited in a targeted manner whilst avoiding legal disadvantages.

This article examines what companies should bear in mind when drawing up contracts for AI projects, to ensure that the introduction of artificial intelligence does not run into legal or practical obstacles.

This article highlights the regulatory aspects that Swiss board members should bear in mind when deploying artificial intelligence within their organisations. Cornelia Mattig outlines the key developments in the Swiss and international regulatory landscape and explains, in practical terms, why AI should be understood not only as a technological challenge but also as a strategic and compliance-related one.

This article explains how companies can use transcription tools in their day-to-day operations in a legally compliant and responsible manner. It focuses on internal guidelines as a key management tool for appropriately addressing data protection risks, confidentiality issues and employment law requirements.

AI models that generate text, images or videos are currently particularly popular. However, their use raises legal questions: Who owns the generated content? Can companies use these AI models without hesitation, or is the consent of specific individuals required? The following article examines these legal issues. https://expertsuisse.ch/de/bibliothek/988446/eft-2025-09-gesamtausgabe