The 5th International Workshop on KNOWLEDGE MANAGEMENT AND PROCESS MINING FOR LAW (KM4LAW) co-located with the 25th International Conference on Knowledge Engineering and Knowledge Management (EKAW2026), 29 September - 1 October 2026, Torino (Italy)

Workshop website: https://km4law.di.unito.it/
For any additional information, please contact rachele.mignone@unito.it

Workshop Aim and Scope

Academic interest in legal informatics has expanded significantly, driven by the need to support public administrations, courts, and private companies in managing complex legal work. Today, legal systems generate unprecedented volumes of digital data—from legislation and judgments to contracts and administrative event logs. Simultaneously, breakthroughs in Artificial Intelligence (AI), Large Language Models (LLMs), Knowledge Representation, and Process Mining are reshaping how we extract, model, and operationalize this knowledge.
Transformers and LLMs are quickly becoming integral to legal practice, proving effective for tasks like summarization, classification, and judgment prediction. However, given the inherent complexity of legal sources, simply extracting information is not enough. This knowledge often must be formalized into ontological models to clarify links between legal norms, enable semi-automatic interpretation, and ensure strict legal validity. Furthermore, as organizations increasingly rely on automated systems, analyzing legal event logs via process mining techniques has become essential to discover actual procedures, verify regulatory compliance, and predict case trajectories.
While these technologies offer immense potential, they introduce The 5th International Workshop on


KNOWLEDGE MANAGEMENT AND PROCESS MINING FOR LAW (KM4LAW)

co-located with the 25th International Conference on Knowledge Engineering and Knowledge Management (EKAW2026), 29 September - 1 October 2026, Torino (Italy)

Workshop website: https://km4law.di.unito.it/
For any additional information, please contact rachele.mignone@unito.it
Workshop Aim and Scope
Academic interest in legal informatics has expanded significantly, driven by the need to support public administrations, courts, and private companies in managing complex legal work. Today, legal systems generate unprecedented volumes of digital data—from legislation and judgments to contracts and administrative event logs. Simultaneously, breakthroughs in Artificial Intelligence (AI), Large Language Models (LLMs), Knowledge Representation, and Process Mining are reshaping how we extract, model, and operationalize this knowledge.
Transformers and LLMs are quickly becoming integral to legal practice, proving effective for tasks like summarization, classification, and judgment prediction. However, given the inherent complexity of legal sources, simply extracting information is not enough. This knowledge often must be formalized into ontological models to clarify links between legal norms, enable semi-automatic interpretation, and ensure strict legal validity. Furthermore, as organizations increasingly rely on automated systems, analyzing legal event logs via process mining techniques has become essential to discover actual procedures, verify regulatory compliance, and predict case trajectories.
While these technologies offer immense potential, they introduce critical challenges around explainability, accountability, and trustworthiness. These issues are particularly urgent in interconnected European and international contexts, where multilingual legal NLP, semantic alignment of ontologies across jurisdictions, and cross-lingual reasoning are vital for achieving true semantic interoperability.
The Knowledge Management and Process Mining for Law (KM4LAW) workshop provides an interdisciplinary forum to explore these developments. By bringing together traditionally distinct research communities across AI & Law, Semantic Technologies, NLP, and Business Process Management, KM4LAW aims to foster collaboration and pioneer human-centered approaches for the next generation of legal information systems. Addressing these areas, the workshop directly supports the core themes of EKAW 2026.
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

Important Dates

Deadline to submit Papers to Workshops: July 26, 2026
Workshop paper author notification: August 31, 2026
Provide camera-ready versions (strict): September 20, 2026
Workshop at EKAW 2026 day: September 29, 2026

Submission Instructions

Authors are invited to submit original, previously unpublished research papers. Papers should be written in English. All papers must be converted to PDF prior to electronic submission.
Papers' template CEUR-ART, 1-column style (please use Latex):
-Instructions: https://ceur-ws.org/HOWTOSUBMIT.html
-Overleaf: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw


We accept two kinds of contributions:
- short paper [ between 5 to 9 pages long ]
- regular paper [ between 10 to 14 pages long ]

At least one author of each accepted paper must register and participate in the workshop.
Please refer to the workshop website for any further submission instructions.

Workshop Organizers (in alphabetical order)

Davide Audrito, European Commission (DG DIGIT B.2), University of Turin (Italy)
Rachele Mignone, University of Turin (Italy), University of Bologna (Italy), University of Luxembourg (Luxembourg)
Roberto Nai, University of Turin (Italy)
Emilio Sulis, University of Turin (Italy)

critical challenges around explainability, accountability, and trustworthiness. These issues are particularly urgent in interconnected European and international contexts, where multilingual legal NLP, semantic alignment of ontologies across jurisdictions, and cross-lingual reasoning are vital for achieving true semantic interoperability.
The Knowledge Management and Process Mining for Law (KM4LAW) workshop provides an interdisciplinary forum to explore these developments. By bringing together traditionally distinct research communities across AI & Law, Semantic Technologies, NLP, and Business Process Management, KM4LAW aims to foster collaboration and pioneer human-centered approaches for the next generation of legal information systems. Addressing these areas, the workshop directly supports the core themes of EKAW 2026.

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

Important Dates

Deadline to submit Papers to Workshops: July 26, 2026
Workshop paper author notification: August 31, 2026
Provide camera-ready versions (strict): September 20, 2026
Workshop at EKAW 2026 day: September 29, 2026

Submission Instructions

Authors are invited to submit original, previously unpublished research papers. Papers should be written in English. All papers must be converted to PDF prior to electronic submission.
Papers' template CEUR-ART, 1-column style (please use Latex):
-Instructions: https://ceur-ws.org/HOWTOSUBMIT.html
-Overleaf: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw


We accept two kinds of contributions:
- short paper [ between 5 to 9 pages long ]
- regular paper [ between 10 to 14 pages long ]

At least one author of each accepted paper must register and participate in the workshop.
Please refer to the workshop website for any further submission instructions.

Workshop Organizers (in alphabetical order)

Davide Audrito, European Commission (DG DIGIT B.2), University of Turin (Italy)
Rachele Mignone, University of Turin (Italy), University of Bologna (Italy), University of Luxembourg (Luxembourg)
Roberto Nai, University of Turin (Italy)
Emilio Sulis, University of Turin (Italy)