Artificial Intelligence and Law (AIL)

Artificial Intelligence and Law is a peer-reviewed scientific journal published by Springer that serves as a major international forum for scholarly research at the intersection of computer science, artificial intelligence, and legal studies. The journal’s primary aim is to publish original interdisciplinary research addressing theoretical, computational, and empirical problems in legal reasoning and AI systems that interact with legal knowledge. Articles include formal or computational models of legal knowledge, reasoning, and decision-making; studies of innovative AI technologies applied in legal contexts; and examinations of ethical, legal, and social implications arising from deploying AI in law. The journal welcomes contributions from diverse disciplines, including artificial intelligence, cognitive psychology, jurisprudence, linguistics, and philosophy, creating a broad intellectual community focused on how AI techniques can enhance understanding of legal concepts and improve legal processes. Over three decades, Artificial Intelligence and Law has published high-impact original research, research notes, technology reports, and book reviews, making it a central publication in its field. Its articles are indexed in major citation databases including Scopus and Web of Science, reflecting the journal’s influence across both computer science and legal scholarship.

Artificial Intelligence and Law (AIL) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Law, Theoretical or empirical studies in artificial intelligence (AI), cognitive psychology, jurisprudence, linguistics, or philosophy which address the development of formal or computational models of legal knowledge, reasoning, Computational models of legal reasoning and decision making, judgmental reasoning, adversarial reasoning, case-based reasoning, deontic reasoning, normative reasoning, deontic notions, normative modalities, rights, factors, values, Legal expert systems, statutory systems, legal practice systems, predictive systems, normative systems, automatic text understanding, intelligent document assembly systems, hypertext, semantic markup of legal documents , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0924-8463, E-ISSN: 1572-8382, Established: 1992, Impact Factor: 3.1
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE