Following the success of the first six editions of the NLLP workshop (EMNLP 2021 - 2024, KDD 2020, NAACL 2019), the workshop aims to bring together researchers and practitioners working on NLP, LLMs and other AI fields with legal practitioners and researchers.We welcome submissions describing original work on legal data, as well as data with legal relevance.= Topics =Applications of NLP methods to tasks in the legal domain including, but not limited to:• Case outcome analysis and prediction
• Summarization and analysis of long-form and complex legal documents
• Information extraction
• Contract drafting
• Chatbots and assistants for legal or negotiation support
• Legal analysis and commentary
• Legal argumentation analysis
• Legal reasoning
• Information retrieval and question-answering (incl. retrieval-augmented generation)
• Detection and mitigation of legal misinformation
• Copyright and intellectual property law applications, incl. infringement detection, licensing compliance, generative content auditing
• Agentic applications for conducting tasks in the legal domain
Methods for applying Large Language Models (LLMs) to the legal domain including, but not limited to:• Adaptation of LLMs to the legal domain
• Prompt engineering and prompt chaining
• Composite methods using symbolic or rule-based reasoning
• Groundedness and attributability of generations
• Privacy and bias risks in legal LLM applications
• Copyright compliance, dataset provenance and transparency and fair use analysis in LLM training and usage
Methodological innovations for legal tasks including, but not limited to:• Classification
• Summarization and generation
• Information extraction incl. entity recognition, disambiguation, event extraction, query understanding, anonymization, data extraction, knowledge base population
• Question answering incl. retrieval-augmented generation
• Information retrieval incl. sparse, dense or hybrid approaches
• Multi-modal document parsing incl. using structured, semi-structured and metadata (e.g. tables, charts, images)
• Clustering, clause similarity and topic modeling
• Link and citation prediction
• Causal inference and counterfactual reasoning for legal decision-making
• Conversational agents incl. conversational question answering, contract analysis and review, negotiation support agents or multi-agent coordination
• Planning and reasoning
Tasks, Resources and Evaluation for NLP in the Legal domain:• Description of new tasks for NLP in the legal domain e.g. legal argument reasoning, legal QA attribution
• Task overviews and survey papers that identify current research gaps
• Dataset development for LLM benchmarking for legal applications
• Publicly available datasets curated and annotated by legal experts
• Methods for automatic evaluation of LLM performance on legal domains
NLP for Online Platforms, Social Media and Regulations:• Detection and moderation of illegal content (e.g. harassment, defamation)
• NLP for platform compliance under regulatory regimes (e.g. Data Services Act, AI Act, etc.)
• Legal transparency tooling for platform decisions (e.g. Statement of Reasons analysis)
• Misinformation and disinformation detection with legal implications
• Online dispute resolution, appeals and access to justice via social platforms
• Legal evidence mining from user-generated content and public discourse
• Legal implications of chatbots and agents operating in or for social media platforms
• NLP aided analysis of Terms of Services and platform policies
Systems, Demos and Industry Applications• System descriptions of real-world legal NLP systems
• Industry applications in legal tech or compliance
• NLP systems for legal professionals such as E-Discovery, contract review, risk assessment.
• Open or proprietary NLP tools for citizens, lawyers, courts, or regulators
Interdisciplinary position papers on topics including, but not limited to:• Legal or socio-legal analyses relating to the role NLP in the legal domain
• Ethical, legal and regulatory aspects of data collection and LLM use in the legal domain
• Critical reflections about the benefits and challenges with using NLP technologies in the legal domain
• The role of NLP in Access to Justice and Digital Legal Empowerment
• The role of NLP in platform governance and content moderation including legal, regulatory and ethical aspects of automated moderation, accountability under emerging platform regulations (e.g., DSA, DMA, AI Act) and impacts on freedom of expression and access to justice
• Legal and ethical challenges of NLP in the context of copyright and IP
= Submissions =We accept papers reporting original (unpublished) research of two types:• Long papers (max 8 pages of content)
• Short papers (max 4 pages of content)
Appendices, references, optional limitations section, optional ethics section and acknowledgements do not count against the maximum page limit and should be formatted according to the guidelines below.