TY - JOUR
T1 - An exploratory study on the use of artificial intelligence to initiate legal understanding for business development
AU - Grassi, Alessia
AU - Vallati, Mauro
N1 - Special Issue: Mining and Reasoning with Legal Texts ISBN 97810848903678
Funding Information:
This work has been partially supported by EU H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 690974 for the project ?MIREL: MIning and REasoning with Legal texts?. The authors would also like to express their gratitude to Prof. Ken Satoh, National Institute of Informatics, Tokyo, Japan, for the useful discussions and support.
Funding Information:
This work has been partially supported by EU H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 690974 for the project“MIREL:MIning and REasoning with Legaltexts”. Theauthors would also like to express their gratitude to Prof. Ken Satoh, National Institute of Informatics, Tokyo, Japan, for the useful discussions and support.
Publisher Copyright:
© 2021, College Publications. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - Given the dynamic environment and the ever-changing international context, it is pivotal for companies to be able to quickly and effectively identify potential threats and opportunities. This can be done via environmental scanning, that allows to develop potential scenarios which help in proactively plan responses to potential risks. Yet, the process of scanning, and the design and analysis of scenarios, is extremely expensive, as it has to be done manually. Therefore, they cannot be exploited as often as they should to deliver the maximal benefit to a company. In this chapter, we propose the use of Artificial Intelligence (AI) techniques to support the PESTLE analysis, a managerial tool used to identify those external factors which might affect a company. In particular, we focus on one of the environments scanned through PESTLE, the legal environment, and how AI can support this time and labour consuming process.
AB - Given the dynamic environment and the ever-changing international context, it is pivotal for companies to be able to quickly and effectively identify potential threats and opportunities. This can be done via environmental scanning, that allows to develop potential scenarios which help in proactively plan responses to potential risks. Yet, the process of scanning, and the design and analysis of scenarios, is extremely expensive, as it has to be done manually. Therefore, they cannot be exploited as often as they should to deliver the maximal benefit to a company. In this chapter, we propose the use of Artificial Intelligence (AI) techniques to support the PESTLE analysis, a managerial tool used to identify those external factors which might affect a company. In particular, we focus on one of the environments scanned through PESTLE, the legal environment, and how AI can support this time and labour consuming process.
KW - Artificial intelligence
KW - PESTLE analysis
UR - http://www.scopus.com/inward/record.url?scp=85111455178&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85111455178
VL - 8
SP - 1065
EP - 1082
JO - Journal of Applied Logics
JF - Journal of Applied Logics
SN - 2631-9810
IS - 4
ER -
