AI to Facilitate Legal Analysis in the PESTLE Context

Mauro Vallati, Alessia Grassi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


PESTLE analysis has been used for decades to help companies in taking challenging and complex decisions with regards to aspects such as the development of new lines
of products, or the expansion into new markets. Despite its complexity, PESTLE analysis is still performed manually, with issues related to the efficiency of the overall process, and the quality of the suggested actions. In this work, leveraging on recent advances in Artificial Intelligence, we propose a framework for companies which can be used to support performing PESTLE analysis. In particular, we focus on the Legal aspect of the PESTLE acronym, that is one of the most complex to investigate.
Original languageEnglish
Title of host publicationProceedings of the EMerging Technology conference (EMiT) 2019
EditorsM. K. Bane, V. Holmes
PublisherThe Emerging Technology (EMiT) Conference
Number of pages3
ISBN (Print)9780993342646
Publication statusPublished - Jul 2019
Event5th Emerging Technology Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 9 Apr 201911 Apr 2019
Conference number: 5 (Link to Conference Website)


Conference5th Emerging Technology Conference
Abbreviated titleEMiT 2019
Country/TerritoryUnited Kingdom
Internet address


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