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Applied AI in Restructuring and Insolvency law

This advanced course explores the integration of artificial intelligence (AI) into legal practices, specifically within the fields of restructuring and insolvency. It covers AI’s role in streamlining legal processes, improving decision-making, enhancing compliance, and addressing ethical and regulatory challenges. The course includes practical applications such as predictive modeling, document analysis, and risk management, with a focus on how AI can transform legal strategy in distressed company scenarios.

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Course Duration:

24 hours

Level:

Advanced

Course Objectives

  • Explore the role of AI in modern legal practices related to restructuring and insolvency.

  • Understand how AI can streamline processes, improve decision-making, and enhance compliance.

  • Examine AI’s impact on legal documentation, negotiations, case predictions, and risk management.

  • Analyse ethical and regulatory challenges in the use of AI within insolvency and restructuring contexts.

Prerequisites

  • Advanced understanding of legal principles, particularly in restructuring and insolvency.

  • Familiarity with AI concepts and tools (e.g., machine learning, natural language processing).

  • Professional background in legal practice or corporate finance is recommended.

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