Copertina

Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Goel, Rakshita, Kumar, S Pranav, Agrawal, Anmol, Poddar, Divyan, Narang, Pratik, Kumar, Dhruv
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
di: Kabir, Muhammad Rafsan, et al.
Pubblicazione: (2025)

LegalAgentBench: Evaluating LLM Agents in Legal Domain
di: Li, Haitao, et al.
Pubblicazione: (2024)

Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain
di: Louis, Antoine, et al.
Pubblicazione: (2024)

From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs
di: Mishra, Shubham, et al.
Pubblicazione: (2025)

LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
di: Kim, Chaeeun, et al.
Pubblicazione: (2025)

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2025)

LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
di: Li, Haitao, et al.
Pubblicazione: (2025)

ALARB: An Arabic Legal Argument Reasoning Benchmark
di: Shairah, Harethah Abu, et al.
Pubblicazione: (2025)

LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2025)

Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2025)

An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic Approach
di: de Martim, Hudson
Pubblicazione: (2025)

A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning
di: Yuan, Ye, et al.
Pubblicazione: (2024)

Supporting Humans in Evaluating AI Summaries of Legal Depositions
di: Farzi, Naghmeh, et al.
Pubblicazione: (2026)

RAG System for Supporting Japanese Litigation Procedures: Faithful Response Generation Complying with Legal Norms
di: Ishihara, Yuya, et al.
Pubblicazione: (2025)

Logic Rules as Explanations for Legal Case Retrieval
di: Sun, Zhongxiang, et al.
Pubblicazione: (2024)

TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2025)

The Factuality of Large Language Models in the Legal Domain
di: Hamdani, Rajaa El, et al.
Pubblicazione: (2024)

DistRAG: Towards Distance-Based Spatial Reasoning in LLMs
di: Schneider, Nicole R, et al.
Pubblicazione: (2025)

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
di: Reuter, Markus, et al.
Pubblicazione: (2025)

Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study
di: Han, Jiuzhou, et al.
Pubblicazione: (2024)

Query-driven Relevant Paragraph Extraction from Legal Judgments
di: Santosh, T. Y. S. S, et al.
Pubblicazione: (2024)

DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
di: Choi, Janghyeok, et al.
Pubblicazione: (2026)

Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
di: Khadilkar, Harshad, et al.
Pubblicazione: (2025)

Optimizing Legal Document Retrieval in Vietnamese with Semi-Hard Negative Mining
di: Le, Van-Hoang, et al.
Pubblicazione: (2025)

JUÁ -- A Benchmark for Information Retrieval in Brazilian Legal Text Collections
di: Pereira, Jayr, et al.
Pubblicazione: (2026)

Exploring Selective Retrieval-Augmentation for Long-Tail Legal Text Classification
di: Mao, Boheng
Pubblicazione: (2025)

The Massive Legal Embedding Benchmark (MLEB)
di: Butler, Umar, et al.
Pubblicazione: (2025)

CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
di: Nguyen, Chau, et al.
Pubblicazione: (2024)

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
di: Deng, Chenlong, et al.
Pubblicazione: (2024)

Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approach
di: Rajamanickam, Duraimurugan
Pubblicazione: (2024)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
di: Jin, Jiajie, et al.
Pubblicazione: (2024)

Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
di: Gao, Yunfan, et al.
Pubblicazione: (2024)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2024)

How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
di: Xu, Nuo, et al.
Pubblicazione: (2025)

Legal RAG Bench: an end-to-end benchmark for legal RAG
di: Butler, Abdur-Rahman, et al.
Pubblicazione: (2026)

Deterministic Legal Agents: A Canonical Primitive API for Auditable Reasoning over Temporal Knowledge Graphs
di: de Martim, Hudson
Pubblicazione: (2025)

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
di: Wang, Zheng, et al.
Pubblicazione: (2024)

AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles
di: Lahiri, Aritra Kumar, et al.
Pubblicazione: (2024)

Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2025)

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language
di: Mori, Larissa, et al.
Pubblicazione: (2025)