AI to Facilitate Legal Analysis in the PESTLE Context

Mauro Vallati; Alessia Grassi

AI to Facilitate Legal Analysis in the PESTLE Context

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the EMerging Technology conference (EMiT) 2019
Editors	M. K. Bane, V. Holmes
Publisher	The Emerging Technology (EMiT) Conference
Pages	66-68
Number of pages	3
ISBN (Print)	9780993342646
Publication status	Published - Jul 2019
Event	5th Emerging Technology Conference - University of Huddersfield, Huddersfield, United Kingdom Duration: 9 Apr 2019 → 11 Apr 2019 Conference number: 5 https://emit.tech/ (Link to Conference Website)

Conference

Conference	5th Emerging Technology Conference
Abbreviated title	EMiT 2019
Country/Territory	United Kingdom
City	Huddersfield
Period	9/04/19 → 11/04/19
Internet address	https://emit.tech/ (Link to Conference Website)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "AI to Facilitate Legal Analysis in the PESTLE Context",

abstract = "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 linesof 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.",

keywords = "Artificial Intelligence, Marketing, Applications",

author = "Mauro Vallati and Alessia Grassi",

year = "2019",

month = jul,

language = "English",

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pages = "66--68",

editor = "Bane, {M. K.} and V. Holmes",

booktitle = "Proceedings of the EMerging Technology conference (EMiT) 2019",

publisher = "The Emerging Technology (EMiT) Conference",

address = "United Kingdom",

note = "5th Emerging Technology Conference, EMiT 2019 ; Conference date: 09-04-2019 Through 11-04-2019",

url = "https://emit.tech/",

}

TY - GEN

T1 - AI to Facilitate Legal Analysis in the PESTLE Context

AU - Vallati, Mauro

AU - Grassi, Alessia

N1 - Conference code: 5

PY - 2019/7

Y1 - 2019/7

N2 - 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 linesof 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.

AB - 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 linesof 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.

KW - Artificial Intelligence

KW - Marketing

KW - Applications

UR - https://emit.tech/wp-content/uploads/2019/05/emit2019-proceedings.pdf

M3 - Conference contribution

SN - 9780993342646

SP - 66

EP - 68

BT - Proceedings of the EMerging Technology conference (EMiT) 2019

A2 - Bane, M. K.

A2 - Holmes, V.

PB - The Emerging Technology (EMiT) Conference

T2 - 5th Emerging Technology Conference

Y2 - 9 April 2019 through 11 April 2019

ER -

AI to Facilitate Legal Analysis in the PESTLE Context

Abstract

Conference

UN SDGs

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