KM4LAW 2024 : Knowledge management and process mining for law
KM4LAW 2024 : Knowledge management and process mining for law

KM4LAW 2024 : Knowledge management and process mining for law

Enschede, Netherlands
Event Date: July 15, 2024 - July 15, 2024
Submission Deadline: April 17, 2024
Notification of Acceptance: May 15, 2024
Camera Ready Version Due: June 30, 2024

Call for Papers

we announce the third edition of the KNOWLEDGE MANAGEMENT AND PROCESS MINING FOR LAW - KM4LAW Workshop that will be held in Enschede, Netherlands, co-located with the 14th International Conference on Formal Ontology in Information Systems (FOIS 2024)

Workshop website:

The academic interest in legal informatics has been increasing over the last decades. The application of innovative technologies for processing legal documents and AI methods applied to legal issues can support the work of public administrations and private companies in the legal field. Informatics facilitates access to and understandability of legal knowledge, including judgments, recommendations, legislation, citizens’ constitutional rights, and soft law. Legal ontologies, for instance, highlight the nature of links between legal norms; the application of specific algorithms supports semi-automatic interpretation of legal provisions and prediction of judicial decisions.

A recent research line is engaged with transformers and Large Language Models (LLMs) techniques applied in the legal domain. These models are becoming integral to legal work, as they have demonstrated effectiveness in several tasks, encompassing manifold research lines. These include, but are not limited to, the design and evaluation of LLM-based systems and applications in legal data processing; the use of LLMs in conventional legal text processing tasks such as summarization, question-answering, classification, and judgment prediction; issues related to LLMs-enabled decision making; and the application of LLMs in the analysis of multilingual legal data.

Moreover, organisations' information systems collect information related to notices and other legal documents, and are increasingly used for automated analysis with discovery and flow compliance checking, process mining with structured and unstructured data.
The analysis of legal event logs can be developed through the adoption of Process Mining (PM) techniques, which allow the discovery of procedures from real data, to verify the regulatory compliance of procedures, for application monitoring and prediction techniques about the events of a legal case.

Digital justice and digital law improve the daily work of public administrations, judges and law firms by speeding up the resolution of legal issues, including support for legal compliance and access to complex and extensive legal knowledge.

The Knowledge Management and process mining for Law (KM4LAW) workshop intends to be a forum to focus on legal informatics from a broad perspective. This workshop focuses on the wide-ranging topic of AI, KM, IE, and PM methods in the legal informatics and legal-linguistics fields. AI & Law involves a variety of sub-domains, including ontologies, argumentation, legal design, legal prediction, network analysis, and neural networks. The challenging task of automatically extracting knowledge in textual documents has traditionally been addressed by NLP techniques. Given the complexity and vagueness of legal sources, extracted knowledge can be formalised into ontological models for many purposes, including access to rights and understandability of requirements in administrative procedures.

This workshop is intended to be a forum bringing together all these sub-disciplines. FOIS is the perfect venue for this forum because all these subjects are involved in this conference.

We welcome contributions related to digital justice and digital law in general, as well as considering modelling and conceptualization features. Potential topics are:

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

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):

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.
Submissions should be made via Easychair through the following submission page: [ select “KM4Law workshop” track ]

Deadline to submit Papers to Workshops: April 17, 2024
Acceptance of Papers for Workshops: May 15, 2024
Provide camera ready versions: June 30, 2024
Workshop at FOIS 2024 days: 15-19 July 2024

WORKSHOP ORGANIZERS (in alphabetical order)
Davide Audrito, University of Bologna (Italy)
Francesca Grasso, University of Turin (Italy)
Roberto Nai, University of Turin (Italy)
Emilio Sulis, University of Turin (Italy)

Credits and Sources

[1] KM4LAW 2024 : Knowledge management and process mining for law

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