Artificial Intelligence (AI), Knowledge Modeling (KM) and Information Extraction (IE) methods are increasingly important for legal informatics. A recent research line is engaged with transformers and Large Language Models (LLMs) techniques applied in the legal domain. Another recent topic concerns the analysis of legal event logs through Process Mining (PM) techniques, i.e. for regulatory compliance checking, mining legal event logs for process discovery, and applying predictive process monitoring on legal cases. There is a rising volume of research works on the limits and unexplored opportunities offered by AI for the representation and extraction of knowledge in the legal domain. Typical research objectives may include classification of legal sources, legal design and legal ontologies, similarity among norms and clustering, process mining for legal compliance, mining of legal event logs for process discovery, prediction and support in decision-making processes, semi-automatic legal interpretation, mapping of evolving legal concepts and definitions over time, information extraction and classification, detection of linguistic phenomena and patterns in legal sources, multilingual alignment of concepts of domestic and international legal sources, extraction and analysis of legal references and network analysis, analogical reasoning and compliance checking.
The Knowledge Management and process mining for Law (KM4LAW) workshop intends to be a forum to address the current and emerging challenges of legal informatics from a broad perspective.
TOPICS OF INTEREST
We welcome contributions addressing the extraction, representation, interpretation, and use of legal knowledge from both structured and unstructured sources, as well as the analysis of legal processes.
Relevant topics include, but are not limited to:
- Natural language processing techniques and systems for legal documents
- Identification of legal semantic roles and extraction of named entities
- Application, design, evaluation and impact of Large Language Models (LLMs) in the legal domain
- Automated knowledge extraction from legal text corpora
- Experimental results using and adapting NLP methods for legal data
- Information retrieval and multimedia search for legal documents
- Process mining for legal compliance
- Mining legal event logs for process discovery
- Predictive process monitoring on legal cases
- Multilingual alignments, retrieval, extraction and analysis of legal sources
- Linked data and knowledge graphs in the legal domain
- Classification or clustering of law
- Domain-Specific Visual Modeling Language (DSVML) and law
- Legal ontologies, visual law, legal design, and correlated themes
- (Multilingual) Thesauri, vocabularies, and taxonomies in the legal area
- Entity Recognition and Disambiguation
- Training and Using Embeddings for legal text
- Computational models of argumentation for legal data
- Knowledge Base Population
- Question Answering
- Dialogue and Discourse Analysis
- Query Understanding
- Link Analysis, Relation and Event Extraction
- Combining Legal Text with Structured Data
- Legal Text Summarization and Generation
- Emerging applications in legal data & knowledge engineering
Every paper accepted to the workshop must be covered by a single EKAW 2026 registration, either student or regular.
>> See also: submission instructions page.