- Call for Presentations -

Abstract submission deadline: 2026 May 11 (AoE)

Notification of acceptance: 2026 May 13 (AoE)

Microsoft CMT Submission Link

Presentation Format

ASAIL 20256 invites contributions from across disciplines, including early-stage research, experimental approaches, new ideas, and ongoing investigations. This is a space to share conceptual developments and receive constructive feedback from a diverse community. 

To apply, submit a 150–200 word abstract to https://cmt3.research.microsoft.com/ASAIL2026 outlining your proposed presentation. Accepted presenters will: 

• Give a 10-minute talk, followed by a 5-minute Q&A 

• Participate in a panel discussion with other presenters 

• Choose to present either in person at ICAIL 2025 or remotely via online participation   

We welcome presentations from both seasoned researchers and newcomers. Whether you're developing a new methodology, exploring a niche application, or testing a novel NLP approach on legal information, we encourage you to share your work. We are especially keen to receive abstracts regarding presentation of multimodal research work and ideas.

Scope

ASAIL 2026 welcomes original work on computational approaches to identifying and analysing meaning in legally relevant information, including but not limited to:

• statutes, regulations, treaties, contracts, policies, and judicial decisions;

• pleadings, submissions, witness statements, and evidentiary documents;

• legislative debates, consultation materials, and policy records;

• scanned records, forms, annotations, signatures, seals, and handwritten material;

• photographs, diagrams, maps, and other visual legal artefacts;

• courtroom, tribunal, police, administrative, and parliamentary audio or video;

• multimodal case files combining text, image, audio, metadata, and structured records.

The workshop is especially interested in work that addresses how semantic content in law can be extracted or modelled from one or more modalities, and how such representations support legal reasoning, search, explanation, drafting, compliance, adjudication, or access to justice.

Topics of Interest

Topics include, but are not limited to:

Semantic analysis in legal language and documents

• semantic parsing, information extraction, retrieval, classification, and summarisation for legal materials;

• extraction of legal norms, obligations, permissions, powers, rights, and exceptions;

• argument mining and rhetorical role analysis in judicial, legislative, and administrative materials;

• fact extraction, event extraction, temporal reasoning, and precedent alignment;

• multilingual and cross-jurisdictional semantic analysis of legal sources;

• transformation of legal sources into formal, abstract, or structured representations.

Multimodal analysis of legal information

• document AI for legal records, including OCR-rich, layout-aware, and form-aware methods;

• semantic analysis of scanned filings, handwritten notes, evidentiary bundles, and archival materials;

• interpretation of legally relevant images, diagrams, maps, and visual exhibits;

• speech recognition, diarisation, and semantic analysis for hearings, testimony, interviews, or oral argument;

• multimodal fusion across text, image, audio, and metadata in legal tasks;

• grounding legal claims or evidentiary findings across heterogeneous sources.

AI methods for legal semantics

• large language models, multimodal foundation models, retrieval-augmented systems, and agentic workflows;

• domain adaptation, instruction tuning, and evaluation for legal semantic tasks;

• neuro-symbolic approaches, knowledge graphs, ontologies, and structured representations for law;

• explainability, uncertainty estimation, robustness, and error analysis in legal semantic systems;

• human-AI collaboration and interface design for semantic legal analysis;

• benchmark construction, annotation methodologies, and reproducible evaluation.

Applications and impact

• access to justice, legal aid, and support for self-represented parties;

• compliance, contract analytics, and policy monitoring;

• legal research, case analysis, triage, and decision support;

• judicial, administrative, and regulatory workflows;

• fairness, accountability, transparency, privacy, and bias mitigation in legal AI;

  • responsible use of multimodal AI in legally sensitive or high-stakes settings. 

Workshop Format

ASAIL 2026 is intended as a full-day workshop with a strong discussion component, building on the successful format of thematic sessions followed by moderated author discussion.

Each session will be followed by a moderated discussion panel involving the presenters, with emphasis on shared challenges, reproducibility, evaluation, deployment, and future directions. The workshop’s goal is not only to present finished research, but also to cultivate an interdisciplinary community around semantic analysis in law in its full multimodal sense.

Important Dates

• Submission deadline: 2026/05/11 (AoE)

• Notification of acceptance: 2026/05/13 (AoE)

• Workshop: 12 June 2026, co-located with ICAIL 2026 at Singapore Management University, Singapore. ICAIL 2026 runs 8-12 June 2026.

Venue

The workshop will be held for a full-day on Friday 12 June in conjunction with ICAIL 2026, at Singapore Management University, Singapore. The workshop will be organised with hybrid in-person and remote participation available. At least one person per accepted presentation is expected to register and attend in person or participate via remote presentation.