Artificial Intelligence and Law

Aims & Scope

Artificial Intelligence and Law is an international forum for the dissemination of original interdisciplinary research in the following areas: 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, and decision making.

In-depth studies of innovative artificial intelligence systems that are being used in the legal domain.

Studies which address the legal, ethical and social implications of the field of Artificial Intelligence and Law.

Topics of interest include, but are not limited to, the following: Computational models of legal reasoning and decision making; judgmental reasoning, adversarial reasoning, case-based reasoning, deontic reasoning, and normative reasoning.

Formal representation of legal knowledge: deontic notions, normative modalities, rights, factors, values, rules.

Jurisprudential theories of legal reasoning.

Specialized logics for law.

Psychological and linguistic studies concerning legal reasoning.

Legal expert systems; statutory systems, legal practice systems, predictive systems, and normative systems.

AI and law support for legislative drafting, judicial decision-making, and public administration.

Intelligent processing of legal documents; conceptual retrieval of cases and statutes, automatic text understanding, intelligent document assembly systems, hypertext, and semantic markup of legal documents.

Intelligent processing of legal information on the World Wide Web, legal ontologies, automated intelligent legal agents, electronic legal institutions, computational models of legal texts.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.1
2024	3.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.815

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	6593

Journal Citation Indicator

Year	Value
2024	462

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• An ontology for commitments in multiagent systems:

  Citation: 245

  Authors: Munindar P.

• Of, for, and by the people: the legal lacuna of synthetic persons

  Citation: 222

  Authors: Joanna J., Mihailis E., Thomas D.

• Using machine learning to predict decisions of the European Court of Human Rights

  Citation: 201

  Authors: Masha, Michel, Martijn

• A dialectical model of assessing conflicting arguments in legal reasoning

  Citation: 183

  Authors: H., G.

• On legal contracts, imperative and declarative smart contracts, and blockchain systems

  Citation: 164

  Authors: Guido, Florian, Zoran, Regis, Giovanni, Xiwei

• Argumentation mining

  Citation: 135

  Authors: Raquel, Marie-Francine

• Modelling Reasoning with Precedents in a Formal Dialogue Game

  Citation: 130

  Authors:

• Towards a Formal Account of Reasoning about Evidence: Argumentation Schemes and Generalisations

  Citation: 124

  Authors: Floris, Henry, Chris, Douglas

• A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law

  Citation: 120

  Authors: Trevor, Michał, Kevin, Katie, Floris, Filipe, Daniele, Paul, Jack G., Enrico, Thomas F., Guido, Jochen L., David D., Ronald P., L. Thorne, Henry, Frank, Erich, Paul, Alex, Bart, Douglas N., Adam Z.

• Autonomous agents with norms

  Citation: 118

  Authors: Frank

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