{"total":21,"rows":[{"id":"2305.04417","title":"Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts","created":"2023-05-08","cited_by_count":33,"area":null},{"id":"2609.27678","title":"Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding","created":"2026-09-23","cited_by_count":11,"area":null},{"id":"2404.02127","title":"LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain","created":"2024-04-02","cited_by_count":10,"area":null},{"id":"2509.09969","title":"Large Language Models Meet Legal Artificial Intelligence: A Survey","created":"2025-09-12","cited_by_count":10,"area":null},{"id":"2407.16615","title":"Lawma: The Power of Specialization for Legal Annotation","created":"2024-07-23","cited_by_count":7,"area":null},{"id":"2510.01474","title":"AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance","created":"2025-10-01","cited_by_count":6,"area":null},{"id":"2505.19804","title":"Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2404.01961","title":"Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4","created":"2024-04-02","cited_by_count":2,"area":null},{"id":"2502.16357","title":"LegalBench.PT: A Benchmark for Portuguese Law","created":"2025-02-22","cited_by_count":2,"area":null},{"id":"2503.04305","title":"Computational Law: Datasets, Benchmarks, and Ontologies","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2304.04212","title":"RISC: Generating Realistic Synthetic Bilingual Insurance Contract","created":"2023-04-09","cited_by_count":1,"area":null},{"id":"2412.06272","title":"Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study","created":"2024-12-09","cited_by_count":1,"area":null},{"id":"2506.00608","title":"PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements","created":"2025-05-31","cited_by_count":1,"area":null},{"id":"2507.01234","title":"The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure","created":"2025-07-01","cited_by_count":1,"area":null},{"id":"2601.15267","title":"Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions","created":"2026-01-21","cited_by_count":1,"area":null},{"id":"2608.20204","title":"ContractScrub: A benchmark for final review of legal contracts","created":"2026-08-20","cited_by_count":1,"area":null},{"id":"2607.21340","title":"Capital Markets LLM Reliability Score (CM-LRS): From Plausible to Bankable","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.06312","title":"Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.12326","title":"On Measuring Semantic Preservation in Legal Ontology Learning","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2608.21409","title":"Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2609.06147","title":"What the Window Does Not Contain: Auditing Provenance in a Document-Grounded Instability Benchmark","created":"2026-09-05","cited_by_count":0,"area":null}],"next_cursor":null}