mlsanityData to 7 Oct 2026

Legal and financial RAG

130 papers1 this weekHigh confidence in this grouping: the papers form one clear topicHigh confidence in this grouping: the papers form one clear topic · About

Keywords: legal, financial, retrieval, rag, generation

Key facts. Legal and financial RAG: 130 papers on arXiv since 2023 (data through 7 Oct 2026). 21 of its 130 mapped papers (16%) cite “LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain” (2024, arXiv 2408.10343). 6 of its 130 mapped papers (5%) cite “Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models” (2023, arXiv 2309.17050). 6 new papers 17 Sep–7 Oct.

What’s new

17 Sep – 7 Oct 2026

6 new papers, 17 Sep – 7 Oct; 1 this week.

  1. This week · 1
  2. Token-Budgeted Escalation for Financial Document QA: Cost Is Predictable, Benefit Is the Bottleneck
  3. Earlier · 5
  4. LawCompass: Navigating from Legal QA to Multi-Agent Deep Research with Grounded Evidence
  5. Grounded Revision vs. Prior Injection: Probing Retrieval-Augmented Patent Claim Amendment also fits: RAG robustness and adaptive retrieval
  6. LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting
  7. Automated Regulatory Compliance Question Answering in Financial Services with Domain-Adapted Retrieval-Augmented Generation
  8. Efficient LLM Distillation for Bangladesh Legal Context: A Smartphone-Compatible Retrieval-Augmented Generation Model

Foundations

Most cited by papers here

  1. LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain2024cited by 21 here
  2. Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models2023cited by 6 here
  3. CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering2024cited by 6 here
  4. A Reasoning-Focused Legal Retrieval Benchmark2025cited by 6 here
  5. HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction2024cited by 5 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 10 here
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 84 here
  3. 2022Atlas: Few-shot Learning with Retrieval Augmented Language Modelscited by 4 here
  4. 2023Active Retrieval Augmented Generationcited by 5 here
  5. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 17 here
  6. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 22 here
  7. 2024Financial Report Chunking for Effective Retrieval Augmented Generationcited by 9 here
  8. 2024Improving Retrieval for RAG based Question Answering Models on Financial Documentscited by 6 here
  9. 2025FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generationcited by 5 here
15 more it builds on, not in this chain
  1. 2023Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergycited by 4 here
  2. 2023Benchmarking Large Language Models in Retrieval-Augmented Generationcited by 4 here
  3. 2023Ragas: Automated Evaluation of Retrieval Augmented Generationcited by 14 here
  4. 2023Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Modelscited by 6 here
  5. 2023ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systemscited by 4 here
  6. 2024Seven Failure Points When Engineering a Retrieval Augmented Generation Systemcited by 4 here
  7. 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalcited by 7 here
  8. 2024Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexitycited by 5 here
  9. 2024CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answeringcited by 6 here
  10. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 17 here
  11. 2024Evaluation of Retrieval-Augmented Generation: A Surveycited by 5 here
  12. 2024HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extractioncited by 5 here
  13. 2024LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domaincited by 21 here
  14. 2025Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGcited by 7 here
  15. 2025A Reasoning-Focused Legal Retrieval Benchmarkcited by 6 here

The 24 most cited of 190.

Browse

30 of 130, ranked 6–35

  1. 6FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation20255
  2. 7FinSage: A Multi-aspect RAG System for Financial Filings Question Answering20254
  3. 8HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications20244
  4. 9Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge20244
  5. 10LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation20253
  6. 11JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System20253
  7. 12Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems20253
  8. 13FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain20253
  9. 14Towards Reliable Retrieval in RAG Systems for Large Legal Datasets20253
  10. 15AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework20243
All 30
  1. 16Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization20252
  2. 17An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic Approach20252
  3. 18MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering20252
  4. 19All for law and law for all: Adaptive RAG Pipeline for Legal Research20252
  5. 20VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering20252
  6. 21Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering20252
  7. 22CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation20242
  8. 23Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation20242
  9. 24OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain20242
  10. 25Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models20232
  11. 26Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis20261
  12. 27Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off20261
  13. 28LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning20261
  14. 29LRAGE: Legal Retrieval Augmented Generation Evaluation Tool20251
  15. 30Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use20251
  16. 31Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents20251
  17. 32FinS-Pilot: A Benchmark for Online Financial RAG System20251
  18. 33FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval20251
  19. 34FinDebate: Multi-Agent Collaborative Intelligence for Financial Analysis20251
  20. 35Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 202420241