The Legal Profession in the Digital Age: Empirical Evidence from the DTUWatson Project

Salvatore Caserta, Michael Thumand

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Using the development of a computer system by a collaboration between the Technical University of Denmark and IBM, called DTU-Watson, this paper investigates the usage of machine learning in contract drafting and negotiations of contracts. Using the system as a case study, we discuss a number of implications related to the application of machine learning technology to legal work: I) whether machine learning will reduce the need for lawyers in contract negotiations; II) the difficulties encountered by lawyers in exploring the potential of new technologies; and III) broader consequences in terms of organization of legal offices and ownership of technology.
Original languageEnglish
JournalRetfærd: Nordisk Juridisk Tidsskrift
Volume2021
Issue number1
Pages (from-to)51-64
ISSN0105-1121
Publication statusPublished - 2021

Keywords

  • Digitalisation
  • Machine Learning
  • The Legal Profession
  • DTU
  • Watson
  • IBM

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