Jusletter IT

Information Retrieval: Automatisierte Dokumentenanalyse in M&A Due Diligence

  • Author: Florian Becker
  • Category of articles: LegalTech
  • Region: Switzerland, EU
  • Field of law: Artificial Intelligence & Law, LegalTech
  • DOI: 10.38023/a95f2f0e-e76f-4f37-9876-4927dfff908c
  • Citation: Florian Becker, Information Retrieval: Automatisierte Dokumentenanalyse in M&A Due Diligence, in: Jusletter IT 12. November 2020
One of the main challenges of due diligence is that large quantities of relevant documents must be checked for risks mostly manually as well as under high time pressure. In legal due diligence, the use of AI-based, automated test procedures therefore seems particularly promising. Contract review systems based on machine learning models can increase efficiency, accuracy, and the amount of data considered in the final risk assessment. The software solutions from Kira Systems and Leverton are technically advanced and used successfully in M&A practice.

Inhaltsverzeichnis

  • 1. Problemstellung der Due Diligence
  • 2. Anwendbarkeit automatisierter Prüfverfahren
  • 3. Technische Umsetzung in der Legal Due Diligence
  • 4. Führende Contract-Analytics-Anbieter
  • 4.1. Kira Systems
  • 4.2. Leverton
  • 5. Fazit

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