EconPapers    
Economics at your fingertips  
 

Generative Artificial Intelligence and revolution of market for legal services

Bruno Deffains () and Frédéric Marty ()
Additional contact information
Bruno Deffains: Université Paris-Panthéon-Assas
Frédéric Marty: GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po, CIRANO - Centre interuniversitaire de recherche en analyse des organisations [Montréal, Canada] = Center for Interuniversity Research and Analysis on Organizations [Montréal, Canada]

Post-Print from HAL

Abstract: The implementation of generative artificial intelligence in legal services offers undeniable efficiency gains, but also raises fundamental issues for law firms. These challenges can be categorised along a broad continuum, ranging from changes in business lines to changes in the competitive environment and the internal organisation of law firms. This paper considers the risks that law firms face in terms of both the quality of the services they provide and perceived competition, both horizontally and vertically, considering possible relationships of dependency on suppliers of large language models and cloud infrastructures.

Keywords: vertical relationship; competition; accountability; legal services; generative artificial intelligence (search for similar items in EconPapers)
Date: 2025-12-16
References: Add references at CitEc
Citations:

Published in de Caria Riccardo and Martinelli Silvia. Future-Proof Legal Services - How Innovation, Legal Tech and AI Have Been Reshaping the Legal Market, Hart Publishing, 2025, 9781509987009

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-05419748

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-12-23
Handle: RePEc:hal:journl:halshs-05419748