{"id":"https://openalex.org/W3044378713","doi":"https://doi.org/10.1145/3397271.3401466","title":"Legal Intelligence: Algorithmic, Data, and Social Challenges","display_name":"Legal Intelligence: Algorithmic, Data, and Social Challenges","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3044378713","doi":"https://doi.org/10.1145/3397271.3401466","mag":"3044378713"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401466","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102337084","display_name":"Changlong Sun","orcid":"https://orcid.org/0000-0002-4012-1099"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changlong Sun","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761818","display_name":"Yating Zhang","orcid":"https://orcid.org/0000-0002-0448-4829"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085665917","display_name":"Xiaozhong Liu","orcid":"https://orcid.org/0000-0001-7064-4651"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaozhong Liu","raw_affiliation_strings":["Indiana University Bloomington, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Indiana University Bloomington, Hangzhou, China","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102337084"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":4.1801,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9461579,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2464","last_page":"2467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12755","display_name":"Legal Education and Practice Innovations","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13851","display_name":"Law, AI, and Intellectual Property","score":0.9598000049591064,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7462327480316162},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6128745675086975},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6007429361343384},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5911766290664673},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4638832211494446},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4400786757469177},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.43547922372817993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41013529896736145},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12386330962181091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462327480316162},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6128745675086975},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6007429361343384},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5911766290664673},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4638832211494446},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4400786757469177},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.43547922372817993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41013529896736145},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12386330962181091},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401466","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1555249035","https://openalex.org/W1969203620","https://openalex.org/W2039190550","https://openalex.org/W2052274718","https://openalex.org/W2155961949","https://openalex.org/W2575845411","https://openalex.org/W2889035831","https://openalex.org/W2890026792","https://openalex.org/W2955790312","https://openalex.org/W2962940365","https://openalex.org/W2985237994","https://openalex.org/W3103181983","https://openalex.org/W3191617031"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2519676117","https://openalex.org/W2485872624","https://openalex.org/W2218202131","https://openalex.org/W2155740880","https://openalex.org/W2731899572","https://openalex.org/W84108837","https://openalex.org/W4230611425","https://openalex.org/W4294635752"],"abstract_inverted_index":{"In":[0],"the":[1,20,32,41,45,54,59,78,107,114],"digital":[2],"era,":[3],"information":[4],"retrieval,":[5],"text/knowledge":[6],"mining,":[7],"and":[8,23,53,74,88,95,100,111],"NLP":[9,75],"techniques":[10],"are":[11],"playing":[12],"increasingly":[13],"vital":[14],"roles":[15],"in":[16,31,77,113],"legal":[17,55,82,92,115],"domain.":[18,116],"While":[19],"open":[21],"datasets":[22],"innovative":[24],"deep":[25],"learning":[26],"methodologies":[27],"provide":[28],"critical":[29],"potentials,":[30],"legal-domain,":[33],"efforts":[34],"need":[35],"to":[36,39,48,57,68,105],"be":[37,103],"made":[38],"transfer":[40],"theoretical/algorithmic":[42],"models":[43],"into":[44],"real":[46,60],"applications":[47],"assist":[49],"users,":[50],"lawyers,":[51],"judges":[52],"professions":[56],"solve":[58],"problems.":[61],"The":[62],"objective":[63],"of":[64,71,80,91],"this":[65],"workshop":[66],"is":[67],"aggregate":[69],"studies/applications":[70],"text":[72],"mining/retrieval":[73],"automation":[76],"context":[79],"classical/novel":[81],"tasks,":[83],"which":[84],"address":[85],"algorithmic,":[86],"data":[87],"social":[89],"challenges":[90],"intelligence.":[93],"Keynote":[94],"invited":[96],"presentations":[97],"from":[98],"industry":[99],"academic":[101],"will":[102],"able":[104],"fill":[106],"gap":[108],"between":[109],"ambition":[110],"execution":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}