Artificial Intelligence and Law

Papers
(The median citation count of Artificial Intelligence and Law is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Integrating legal event and context information for Chinese similar case analysis96
Using GPT-4o as a factor extractor for Brazilian consumer law judgments*55
Bridging the divide: technical research and application on legal judgment prediction49
LLM-as-a-judge is bad, based on AI attempting the exam qualifying for the member of the Polish National Board of Appeal47
Attentive deep neural networks for legal document retrieval47
Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach41
Effectiveness in retrieving legal precedents: exploring text summarization and cutting-edge language models toward a cost-efficient approach38
Building from scratch: a multi-agent framework with human-in-the-loop for multilingual legal terminology mapping37
Graph contrastive learning networks with augmentation for legal judgment prediction31
System for the anonymization of Romanian jurisprudence31
Policing based on automatic facial recognition30
Understanding unnecessary stops and police use of force in NYPD Stop, Question, and Frisk with machine learning techniques29
MARRO: multi-headed attention for rhetorical role labeling in legal documents28
Analogical lightweight ontology of EU criminal procedural rights in judicial cooperation27
Document-level legal relation extraction based on domain feature and dual self-distillation25
Topic classification of case law using a large language model and a new taxonomy for UK law: AI insights into summary judgment24
A formalization of the Protagoras court paradox in a temporal logic of epistemic and normative reasons24
Investigating legal question generation using large language models20
Overcoming sentencing inconsistency - a proposal for algorithmic guidelines and juridical misalignment index20
The black box problem revisited. Real and imaginary challenges for automated legal decision making20
Towards a simple mathematical model for the legal concept of balancing of interests18
The trade-off between robustness and reliability in chinese legal large language models: an empirical study17
Thirty years of Artificial Intelligence and Law: the first decade16
Self-training improves few-shot learning in legal artificial intelligence tasks15
A support system for the detection of abusive clauses in B2C contracts15
Tracking the evolution of case law with main path analysis15
Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents15
Correction: Using attention methods to predict judicial outcomes15
Exploring explainable AI in the tax domain15
Judicial knowledge-enhanced magnitude-aware reasoning for numerical legal judgment prediction15
Automatic extraction and collection of legal principles from CJEU decisions on Fiscal State Aid13
Automated legal reasoning with discretion to act using s(LAW)13
Comprehensive research on semantic understanding, applicability, and impact analysis of legal provisions based on deep learning and natural language processing12
Challenges and Opportunities for Visual Analytics in Jurisprudence12
A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering12
Agents preserving privacy on intelligent transportation systems according to EU law12
Identifying open-texture in regulations using LLMs11
Content-aware instruction for zero-shot Chinese criminal legal case retrieval: a large language model-based framework11
From unstructured text to structured reasoning: a hybrid knowledge graph for Indonesian sentencing analysis11
The digital transformation of jurisprudence: an evaluation of ChatGPT-4’s applicability to solve cases in business law11
Thirty years of Artificial Intelligence and Law: the second decade11
A large scale benchmark for session-based recommendations on the legal domain11
LegItBART: a summarization model for Italian legal documents10
Correction to: Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism10
Reasoning with inconsistent precedents10
Legal text classification in Korean sexual offense cases: from traditional machine learning to large language models with XAI insights10
Introduction to the special issue on applications and evaluation of large language models in the legal domain10
Catala: Moving towards the future of legal expert systems10
Enhancing legal judgment summarization with integrated semantic and structural information10
Cost–benefit analysis of deploying shallow, deep learning and generative models for legal text classification9
Correction: thirty years of Artificial Intelligence and Law: the second decade9
Legal sentence boundary detection using hybrid deep learning and statistical models9
Re-evaluating GPT-4’s bar exam performance9
R2GQA: retriever-reader-generator question answering system to support students understanding legal regulations in higher education9
Information extraction from employment tribunal judgments using a large language model8
Thirty years of Artificial Intelligence and Law: Editor’s Introduction8
An interdisciplinary account of the terminological choices by EU policymakers ahead of the final agreement on the AI Act: AI system, general purpose AI system, foundation model, and generative AI8
From jargon to clarity: bridging understanding through graded simplification of legal data8
ALTER: a lightweight topic-aware representation legal case retrieval system8
An LLMs-based neuro-symbolic legal judgment prediction framework for civil cases8
Integrating text mining and system dynamics to evaluate financial risks of construction contracts8
Thirty years of artificial intelligence and law: the third decade7
LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts7
Causality-inspired legal provision selection with large language model-based explanation7
Correction: A support system for the detection of abusive clauses in B2C contracts7
Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification7
Automating petition classification in Brazil’s legal system: a two-step deep learning approach7
Detecting the influence of the Chinese guiding cases: a text reuse approach6
Deciphering disagreement in the annotation of EU legislation6
Neural reranking for UK statutory retrieval: Provision-level evaluation and an open distilled model6
Changing meaning of the rule of law6
Providing legal pincite recommendations using language representations6
Advancing legal recommendation system with enhanced Bayesian network machine learning5
Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies5
Lessons learned building a legal inference dataset5
Ant: a process aware annotation software for regulatory compliance5
Towards a comprehensive land use rights management system: Blockchain and semantics integration with legal compliance in Vietnam5
LLM-assisted formalization for deterministic detection of statutory inconsistency in tax law5
Mapping the Issues of Automated Legal Systems: Why Worry About Automatically Processable Regulation?5
SM-BERT-CR: a deep learning approach for case law retrieval with supporting model5
A method of legal judgment prediction via prompt learning and charge keywords fusion5
Trace clustering for judicial process simplification: identifying patterns and enhancing anaslysis5
Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model4
LLM as a law professor: having a large language model write a commentary on freedom of assembly4
Make privacy policies longer and appoint LLM readers4
Decision support for detecting sensitive text in government records4
ARDI: a new dataset for automatic advocate recommendation in the Indian Legal System4
Masked prediction and interdependence network of the law using data from large-scale Japanese court judgments4
Advancing prompt-based language models in the legal domain: adaptive strategies and research challenges4
Correction: Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism4
Segmenting Brazilian legislative text using weak supervision and active learning4
AI-driven legal argument strength analyzer & counter-argument generator4
Hierarchical knowledge graph based legal information retrieval from multiple documents using intelligent agents4
Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism4
Supervised multi-stage semantics expanded decision system for Indian legal context4
LegalAnalytics: bridging visual explanations and workload streamline in Brazilian Supreme Court appeals4
DiscoLQA: zero-shot discourse-based legal question answering on European Legislation3
SIM-GCN: similarity graph convolutional networks for charges prediction3
Toward representing interpretation in factor-based models of precedent3
A novel MRC framework for evidence extracts in judgment documents3
Enhancing Indian legal judgment classification with embeddings, feature selection, and ensemble strategies3
Thirty years of Artificial Intelligence and Law: overviews3
A Bayesian model of legal syllogistic reasoning3
M-LAMAC: a model for linguistic assessment of mitigating and aggravating circumstances of criminal responsibility using computing with words3
Japanese tort-case dataset for rationale-supported legal judgment prediction3
BERT-TSR: A BERT-based two-stage ranking model for legal case retrieval3
GPT vs human legal texts annotations: A comparative study with privacy policies3
Combining topic modelling and citation network analysis to study case law from the European Court of Human Rights on the right to respect for private and family life3
Intermediate factors and precedential constraint3
Measuring evidential phenomena for complex reasoning patterns about a mass of evidence3
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