#inproceedings

Analyzing European Court of Human Rights Treatment of Non-ECHR Sources of Legal Authority

Forthcoming

Can LLMs Create Legally Relevant Summaries and Analyses of Videos?

In With the Old: Enhancing ‘Classical’ Document Automation with Generative AI

A Hohfeldian Knowledge Base for LLM-Assisted Legal Information Retrieval in Marine Biodiversity Law

A Demonstration of a Semi-Structured Legal Reasoning Framework

Automated Mapping of Legal Criteria to the Texts of Adjudicatory Decisions Using LLMs

Mapping legal criteria to the language of adjudicatory decisions with large language models.

AI in Healthcare: Navigating Legal Risk Assessment with JusticeBot

Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models

Robots in the Middle: Evaluating LLMs in Dispute Resolution

Dallma: Semi-Structured Legal Reasoning and Drafting with Large Language Models

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice

Exploring multimodal language models for analyzing images of legal documents and supporting access to justice.

Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies

From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems

Best Paper Award

Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?

ChatGPT as an Artificial Lawyer?

Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models

JusticeBot: A Methodology for Building Augmented Intelligence Tools for Laypeople to Increase Access to Justice

A methodology for building augmented-intelligence tools that help laypeople access justice.

LLMediator: GPT-4 Assisted Online Dispute Resolution

Conditional Abstractive Summarization of Court Decisions for Laymen and Insights from Human Evaluation

Toward an Intelligent Tutoring System for Argument Mining in Legal Texts

Lex Rosetta: Transfer of Predictive Models across Languages, Jurisdictions, and Legal Domains

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis

Analysis and Multilabel Classification of Quebec Court Decisions in the Domain of Housing Law

Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents

Best Paper Award

Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain

Best Student Paper Award

Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice