Legal Reasoning
13 papers with code • 2 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Legal Reasoning
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Libraries
Use these libraries to find Legal Reasoning models and implementationsMost implemented papers
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.
Causality and Responsibility for Formal Verification and Beyond
The theory of actual causality, defined by Halpern and Pearl, and its quantitative measure - the degree of responsibility - was shown to be extremely useful in various areas of computer science due to a good match between the results it produces and our intuition.
Passing the Brazilian OAB Exam: data preparation and some experiments
In Brazil, all legal professionals must demonstrate their knowledge of the law and its application by passing the OAB exams, the national bar exams.
Designing Normative Theories for Ethical and Legal Reasoning: LogiKEy Framework, Methodology, and Tool Support
A framework and methodology---termed LogiKEy---for the design and engineering of ethical reasoners, normative theories and deontic logics is presented.
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning
Finally-inspired by the Open Science movement-we make a call for the legal and computer science communities to join our efforts by contributing new tasks.
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform?
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
Large language models (LLMs) have demonstrated great potential for domain-specific applications, such as the law domain.
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
Each scenario in the corpus is annotated with a complete IRAC analysis in a semi-structured format so that both machines and legal professionals are able to interpret and understand the annotations.
Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement
rosthalken/legal-interpretation
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Our findings generally sound a note of caution in the use of generative LMs on complex tasks without fine-tuning and point to the continued relevance of human annotation-intensive classification methods.
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce
Annually, e-commerce platforms incur substantial financial losses due to trademark infringements, making it crucial to identify and mitigate potential legal risks tied to merchant information registered to the platforms.
