- Segmenting Brazilian legislative text using weak supervision and active learning
- System for the anonymization of Romanian jurisprudence
- LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts
- DGGCCM: a hybrid neural model for legal event detection
- 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 AI
- Jurisprudence in hard and soft law output of international organizations: a network analysis of the use of precedent in UN Security Council and general assembly resolutions
- Classifying proportionality – identification of a legal argument
- Correction: A support system for the detection of abusive clauses in B2C contracts
- Applicability of large language models and generative models for legal case judgement summarization
- SIM-GCN: similarity graph convolutional networks for charges prediction
- From PARIS to LE-PARIS: toward patent response automation with recommender systems and collaborative large language models
- The digital transformation of jurisprudence: an evaluation of ChatGPT-4’s applicability to solve cases in business law
- A support system for the detection of abusive clauses in B2C contracts
- Graph contrastive learning networks with augmentation for legal judgment prediction
- Intermediate factors and precedential constraint
- Self-training improves few-shot learning in legal artificial intelligence tasks
- AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & Law
- Japanese tort-case dataset for rationale-supported legal judgment prediction
- InstructPatentGPT: training patent language models to follow instructions with human feedback
- Exploring explainable AI in the tax domain
- The challenge of open-texture in law
- Large language models in cryptocurrency securities cases: can a GPT model meaningfully assist lawyers?
- Unfair clause detection in terms of service across multiple languages
- Correction to: Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism
- Re-evaluating GPT-4’s bar exam performance
- Boosting court judgment prediction and explanation using legal entities
- A comparative user study of human predictions in algorithm-supported recidivism risk assessment
- Legal sentence boundary detection using hybrid deep learning and statistical models
- Correction to: Reasoning with inconsistent precedents
- Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents
- Agents preserving privacy on intelligent transportation systems according to EU law
- Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism
- To test or not to test? A question of rational decision making in forensic biology
- Toward representing interpretation in factor-based models of precedent
- DiscoLQA: zero-shot discourse-based legal question answering on European Legislation
- A neural network to identify requests, decisions, and arguments in court rulings on custody
- Automating petition classification in Brazil’s legal system: a two-step deep learning approach
- Reasoning with inconsistent precedents
- Decision support for detecting sensitive text in government records
- Enhancing legal judgment summarization with integrated semantic and structural information
- Automated legal reasoning with discretion to act using s(LAW)
- Bringing order into the realm of Transformer-based language models for artificial intelligence and law
- Natural language processing for legal document review: categorising deontic modalities in contracts
- A large scale benchmark for session-based recommendations on the legal domain
- Integrating legal event and context information for Chinese similar case analysis
- A novel network-based paragraph filtering technique for legal document similarity analysis
- Multi-language transfer learning for low-resource legal case summarization
- Ant: a process aware annotation software for regulatory compliance
- Lessons learned building a legal inference dataset
- A topic discovery approach for unsupervised organization of legal document collections
- Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model
- Integrating text mining and system dynamics to evaluate financial risks of construction contracts
- M-LAMAC: a model for linguistic assessment of mitigating and aggravating circumstances of criminal responsibility using computing with words
- A RDF-based graph to representing and searching parts of legal documents
- Predicting citations in Dutch case law with natural language processing
- I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets
- Mining legal arguments in court decisions
- An approach to temporalised legal revision through addition of literals
- Encoding legislation: a methodology for enhancing technical validation, legal alignment and interdisciplinarity
- Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies
- LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction
- Detecting the influence of the Chinese guiding cases: a text reuse approach
- Methods of incorporating common element characteristics for law article prediction
- A Bayesian model of legal syllogistic reasoning
- The black box problem revisited. Real and imaginary challenges for automated legal decision making
- The use of AI in legal systems: determining independent contractor vs. employee status
- A formalization of the Protagoras court paradox in a temporal logic of epistemic and normative reasons
- Predicting inmates misconduct using the SHAP approach
- Semantic matching based legal information retrieval system for COVID-19 pandemic
- Ensemble methods for improving extractive summarization of legal case judgements
- Going beyond the “common suspects”: to be presumed innocent in the era of algorithms, big data and artificial intelligence
- Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach
- Correction: Using attention methods to predict judicial outcomes
- A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering
- A novel MRC framework for evidence extracts in judgment documents
- Traffic rules compliance checking of automated vehicle maneuvers
- Algorithms in the court: does it matter which part of the judicial decision-making is automated?
- Attentive deep neural networks for legal document retrieval
- Using attention methods to predict judicial outcomes
- Legal document assembly system for introducing law students with legal drafting
- Towards a simple mathematical model for the legal concept of balancing of interests
- Correction: thirty years of Artificial Intelligence and Law: the second decade
- Judicial knowledge-enhanced magnitude-aware reasoning for numerical legal judgment prediction
- Two factor-based models of precedential constraint: a comparison and proposal
- Masked prediction and interdependence network of the law using data from large-scale Japanese court judgments
- Knowledge mining and social dangerousness assessment in criminal justice: metaheuristic integration of machine learning and graph-based inference
- Analogical lightweight ontology of EU criminal procedural rights in judicial cooperation
- Policing based on automatic facial recognition
- Thirty years of Artificial Intelligence and Law: the first decade
- Catala: Moving towards the future of legal expert systems
- SM-BERT-CR: a deep learning approach for case law retrieval with supporting model
- Thirty years of artificial intelligence and law: the third decade
- Thirty years of Artificial Intelligence and Law: the second decade
- Thirty years of Artificial Intelligence and Law: Editor’s Introduction
- Thirty years of Artificial Intelligence and Law: overviews
- Mapping the Issues of Automated Legal Systems: Why Worry About Automatically Processable Regulation?
- A user-centered approach to developing an AI system analyzing U.S. federal court data
- Definitions of intent suitable for algorithms
- The potential of an artificial intelligence (AI) application for the tax administration system’s modernization: the case of Indonesia
- A computational model of facilitation in online dispute resolution
- Patterns for legal compliance checking in a decidable framework of linked open data
- Measuring coherence with Bayesian networks
- Law Smells
- A collaboration between judge and machine to reduce legal uncertainty in disputes concerning ex aequo et bono compensations
- Using machine learning to create a repository of judgments concerning a new practice area: a case study in animal protection law
- Perceptions of Justice By Algorithms
- How to justify a backing’s eligibility for a warrant: the justification of a legal interpretation in a hard case
- Smart criminal justice: exploring the use of algorithms in the Swiss criminal justice system
- The winter, the summer and the summer dream of artificial intelligence in law
- Rethinking the field of automatic prediction of court decisions
- Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process
- Counterfactuals for causal responsibility in legal contexts
- Black is the new orange: how to determine AI liability
- Improving abstractive summarization of legal rulings through textual entailment
- DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents
- Algorithmic disclosure rules
- Towards a machine understanding of Malawi legal text
- Contract as automaton: representing a simple financial agreement in computational form
- Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code
- Correction to: A review of predictive policing from the perspective of fairness
- Logical English meets legal English for swaps and derivatives
- PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments
- A sequence labeling model for catchphrase identification from legal case documents
- Preserving the rule of law in the era of artificial intelligence (AI)
- Legal information retrieval for understanding statutory terms
- Abstract meaning representation for legal documents: an empirical research on a human-annotated dataset
- Quantifying the genericness of trademarks using natural language processing: an introduction with suggested metrics
- A quantitative approach to ranking corporate law precedents in the Brazilian Superior Court of Justice
- Symbiosis with artificial intelligence via the prism of law, robots, and society
- Detecting and explaining unfairness in consumer contracts through memory networks
- Clustering of Brazilian legal judgments about failures in air transport service: an evaluation of different approaches
- A review of predictive policing from the perspective of fairness
- Resolving counterintuitive consequences in law using legal debugging
- Compliance-aware engineering process plans: the case of space software engineering processes
- The linked legal data landscape: linking legal data across different countries
- A formal analysis of some factor- and precedent-based accounts of precedential constraint
- Two-layered fuzzy logic-based model for predicting court decisions in construction contract disputes
- Unsupervised approaches for measuring textual similarity between legal court case reports
- Who is obliged when many are involved? Labelled transition system modelling of how obligation arises
- Modifying the reason model
- Mīmāṃsā deontic reasoning using specificity: a proof theoretic approach
- On argument acceptability change towards legal interpretation dynamics
- Automatically running experiments on checking multi-party contracts
- Legal requirements on explainability in machine learning
- The promise and pitfall of automated text-scaling techniques for the analysis of jurisprudential change
- Populating legal ontologies using semantic role labeling
- Scalable and explainable legal prediction
- In memoriam Douglas N. Walton: the influence of Doug Walton on AI and law
- Evaluating causes of algorithmic bias in juvenile criminal recidivism
- ICAIL Doctoral Consortium, Montreal 2019
- Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective
- Artificial intelligence as law
- Correction to: Modeling law search as prediction
- Law and software agents: Are they “Agents” by the way?
- Modeling law search as prediction
- Information extraction framework to build legislation network
- Encoded summarization: summarizing documents into continuous vector space for legal case retrieval
- Explainable AI under contract and tort law: legal incentives and technical challenges
- Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections
- Is hybrid formal theory of arguments, stories and criminal evidence well suited for negative causation?
- Interactive virtue and vice in systems of arguments: a logocratic analysis
- Appellate Court Modifications Extraction for Portuguese
- Using machine learning to predict decisions of the European Court of Human Rights
- Evidence & decision making in the law: theoretical, computational and empirical approaches
- Taking stock of legal ontologies: a feature-based comparative analysis
- Introduction for artificial intelligence and law: special issue “natural language processing for legal texts”
- Modelling competing legal arguments using Bayesian model comparison and averaging
- Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication
- When expert opinion evidence goes wrong
- Reasoning with dimensions and magnitudes
- A system of communication rules for justifying and explaining beliefs about facts in civil trials
- Arguing about causes in law: a semi-formal framework for causal arguments
- CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
- Building a corpus of legal argumentation in Japanese judgement documents: towards structure-based summarisation
- Vertical precedents in formal models of precedential constraint
- An axiomatic characterization of temporalised belief revision in the law
- Semi-automatic knowledge population in a legal document management system
- Deep learning in law: early adaptation and legal word embeddings trained on large corpora
- Judicial analytics and the great transformation of American Law
- Unsupervised and supervised text similarity systems for automated identification of national implementing measures of European directives
- Assessment criteria or standards of proof? An effort in clarification
- Group-to-individual (G2i) inferences: challenges in modeling how the U.S. court system uses brain data
- A new use case for argumentation support tools: supporting discussions of Bayesian analyses of complex criminal cases
- Normative decision analysis in forensic science
- Maintainable process model driven online legal expert systems
- Consistent pathway analysis: a structured analytic method
- The boundaries of legal personhood: how spontaneous intelligence can problematise differences between humans, artificial intelligence, companies and animals
- Semantic types of legal norms in German laws: classification and analysis using local linear explanations
- Introduction to the special issue on legal text analytics
- Eveline T. Feteris: Fundamentals of legal argumentation
- Automated patent landscaping
- Recurrent neural network-based models for recognizing requisite and effectuation parts in legal texts
- Bending the law: geometric tools for quantifying influence in the multinetwork of legal opinions
- On legal contracts, imperative and declarative smart contracts, and blockchain systems
- Automatic semantic edge labeling over legal citation graphs
- Research in progress: report on the ICAIL 2017 doctoral consortium
- RuleRS: a rule-based architecture for decision support systems
- Narration in judiciary fact-finding: a probabilistic explication
- Representing dimensions within the reason model of precedent
- Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation
- The Ethical Knob: ethically-customisable automated vehicles and the law
- Of, for, and by the people: the legal lacuna of synthetic persons
- Introduction to the special issue on machine law
- Do androids dream of normative endorsement? On the fallibility of artificial moral agents
- Using artificial intelligence to support compliance with the general data protection regulation
- Theoretical foundations for the responsibility of autonomous agents
- On the problem of making autonomous vehicles conform to traffic law
- Robot sex and consent: Is consent to sex between a robot and a human conceivable, possible, and desirable?
- On the legal responsibility of autonomous machines
- Norm conflict identification in contracts
- Network approach to the French system of legal codes part II: the role of the weights in a network
- Dynamic epistemic logic of belief change in legal judgments
- Ontology-based information extraction for juridical events with case studies in Brazilian legal realm
- HYPO’S legacy: introduction to the virtual special issue
- On computable numbers with an application to the AlanTuringproblem
- Recognizing cited facts and principles in legal judgements
- Reading agendas between the lines, an exercise
- On the concept of relevance in legal information retrieval
- Data-centric and logic-based models for automated legal problem solving
- Norms and value based reasoning: justifying compliance and violation
- Proof with and without probabilities
- Introduction to the special issue on Artificial Intelligence for Justice (AI4J)
- From Berman and Hafner’s teleological context to Baude and Sachs’ interpretive defaults: an ontological challenge for the next decades of AI and Law
- Accommodating change
- Cognitive computing and proposed approaches to conceptual organization of case law knowledge bases: a proposed model for information preparation, indexing, and analysis
- Special issue in memory of Carole Hafner: editor’s introduction
- Formalizing value-guided argumentation for ethical systems design
- Legal personality of robots, corporations, idols and chimpanzees: a quest for legitimacy
- Eunomos, a legal document and knowledge management system for the Web to provide relevant, reliable and up-to-date information on the law
- A method for explaining Bayesian networks for legal evidence with scenarios
- Contract automata
- A policy-based B2C e-Contract management workflow methodology using semantic web agents
- Detecting tax evasion: a co-evolutionary approach
- 35 years of Multilateral Environmental Agreements ratifications: a network analysis
- Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models