{"id":"https://openalex.org/W7162669258","doi":"https://doi.org/10.48550/arxiv.2605.28120","title":"LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning","display_name":"LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning","publication_year":2026,"publication_date":"2026-05-27","ids":{"openalex":"https://openalex.org/W7162669258","doi":"https://doi.org/10.48550/arxiv.2605.28120"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.28120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.28120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137215139","display_name":"Zerui Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zerui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137198166","display_name":"Qinggang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Qinggang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667249","display_name":"Zhiyi Xiang","orcid":"https://orcid.org/0009-0009-2034-4904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Zhishang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137247095","display_name":"Zhimin Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Zhimin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137203209","display_name":"Linfeng Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Linfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137277392","display_name":"Xiao Hui Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137288306","display_name":"Zhihong Zhang","orcid":"https://orcid.org/0000-0002-9948-8936"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhihong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137244050","display_name":"Jinsong Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Jinsong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.3677000105381012,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.3677000105381012,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.2402999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.061400000005960464,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46070000529289246},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.447299987077713},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4440999925136566},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.41130000352859497},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4081000089645386},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4016000032424927},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.36719998717308044},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210000157356262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4440999925136566},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39079999923706055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37310001254081726},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C2993995455","wikidata":"https://www.wikidata.org/wiki/Q3150005","display_name":"Legal document","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2948000133037567},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.25360000133514404},{"id":"https://openalex.org/C2778049185","wikidata":"https://www.wikidata.org/wiki/Q2334719","display_name":"Legal case","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.28120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.28120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7843703031539917,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph-based":[0],"Retrieval-Augmented":[1],"Generation":[2],"(GraphRAG)":[3],"advances":[4],"flat":[5,46],"document":[6],"retrieval":[7,117],"by":[8],"structuring":[9],"knowledge":[10,39,47],"as":[11],"relational":[12],"graphs,":[13],"enabling":[14],"more":[15],"coherent":[16],"and":[17,43,57,122,145,174,181],"effective":[18],"reasoning.":[19,70,86,99],"However,":[20],"applying":[21],"it":[22],"to":[23,77,115,154],"specific":[24],"domains":[25],"like":[26],"legal":[27,65,98,108,113,128,176],"reasoning":[28],"faces":[29],"critical":[30],"challenges.":[31],"(i)":[32],"Legal":[33],"corpora":[34],"are":[35,184],"heterogeneous,":[36],"containing":[37],"multi-granular":[38],"from":[40],"cases,":[41],"articles":[42],"interpretations.":[44],"A":[45],"graph":[48,109],"cannot":[49],"adequately":[50],"differentiate":[51],"between":[52],"factual":[53],"details,":[54],"applied":[55],"rules,":[56],"abstract":[58],"principles,":[59],"limiting":[60],"accurate":[61,173],"retrieval.":[62],"(ii)":[63],"Reliable":[64],"judgment":[66],"demands":[67],"transparent,":[68],"evidence-based":[69],"Traditional":[71],"RAG":[72],"passes":[73],"retrieved":[74],"context":[75],"directly":[76],"an":[78,136,146],"LLM":[79],"without":[80],"verification,":[81],"resulting":[82],"in":[83,172],"opaque,":[84],"error-prone":[85],"To":[87],"this":[88],"end,":[89],"we":[90],"propose":[91],"LegalGraphRAG,":[92],"a":[93,106,123,131,156],"framework":[94],"designed":[95],"for":[96,126],"reliable":[97,127],"Our":[100,178],"approach":[101],"introduces":[102],"two":[103],"core":[104],"components:":[105],"hierarchical":[107],"that":[110,162],"hierarchically":[111],"organizes":[112],"sources":[114],"enable":[116],"at":[118,186],"appropriate":[119],"abstraction":[120],"levels,":[121],"multi-agent":[124],"system":[125],"reasoning,":[129],"where":[130],"Researcher":[132],"retrieves":[133],"candidate":[134],"evidence,":[135],"Auditor":[137],"rigorously":[138],"verifies":[139],"its":[140],"validity":[141],"against":[142],"source":[143],"documents,":[144],"Adjudicator":[147],"synthesizes":[148],"the":[149,165],"set":[150],"of":[151],"verified":[152],"evidence":[153],"render":[155],"final":[157],"judgment.":[158],"Extensive":[159],"experiments":[160],"show":[161],"LegalGraphRAG":[163],"achieves":[164],"state-of-the-art":[166],"performance,":[167],"outperforming":[168],"existing":[169],"GraphRAG":[170],"baselines":[171],"trustworthy":[175],"analysis.":[177],"code,":[179],"datasets":[180],"implementation":[182],"details":[183],"available":[185],"https://github.com/XMUDeepLIT/LegalGraphRAG.":[187]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-29T00:00:00"}