A Hybrid Artificial Intelligence Methodology for Legal Analysis
Year: 2024
Type: article
Abstract: The following study introduces “Hybrid Artificial Intelligence Methodology for Legal Analysis” (HAIMLA). It consists of a six-step method to design, develop, validate and deploy artificial intelligence (AI) systems for legal analyses that are built on asynchronous unsupervised and supervised techniques applied to legal texts serialised in the Akoma Ntoso XML standard. HAIMLA methodology is drawn upon the existing literature and case studies in AI & Law and it is grounded on consolidated philosophical approaches. Taken together, this background inspires design requirements that constitute the essential pillars of HAIMLA and new directions for future refinements and implementations.
Authors: Palmirani, Monica, Sapienza, Salvatore, Ashley, Kevin
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W6961921882
