{"id":"https://openalex.org/W4307853485","doi":"https://doi.org/10.1145/3511265.3550438","title":"Algorithmic Learning Foundations for Common Law","display_name":"Algorithmic Learning Foundations for Common Law","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4307853485","doi":"https://doi.org/10.1145/3511265.3550438"},"language":"en","primary_location":{"id":"doi:10.1145/3511265.3550438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511265.3550438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Symposium on Computer Science and Law","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/A5089749790","display_name":"Jason D. Hartline","orcid":"https://orcid.org/0000-0001-5505-6819"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jason D. Hartline","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038316167","display_name":"Daniel W. Linna","orcid":"https://orcid.org/0000-0003-0053-5198"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel W. Linna","raw_affiliation_strings":["Northwestern University, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045187487","display_name":"Liren Shan","orcid":"https://orcid.org/0000-0002-4273-3005"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liren Shan","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280492","display_name":"Alex K. Tang","orcid":"https://orcid.org/0009-0001-3521-3773"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Tang","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089749790"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16000824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"58","issue":null,"first_page":"109","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9965000152587891,"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/T11182","display_name":"Auction Theory and Applications","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6432767510414124},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5574686527252197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4680919945240021},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.4528806805610657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34036165475845337},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.2281605303287506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432767510414124},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5574686527252197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4680919945240021},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.4528806805610657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34036165475845337},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2281605303287506},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511265.3550438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511265.3550438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Symposium on Computer Science and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1969554887","https://openalex.org/W2025084879","https://openalex.org/W2108114251","https://openalex.org/W2113283831","https://openalex.org/W2540949022","https://openalex.org/W2914304175","https://openalex.org/W2963262589","https://openalex.org/W3046134560","https://openalex.org/W3088764959","https://openalex.org/W3122273484","https://openalex.org/W3125207953","https://openalex.org/W3125336193","https://openalex.org/W6728913025"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0,43],"paper":[1],"looks":[2],"at":[3,88],"a":[4,10,69],"common":[5],"law":[6],"legal":[7,17],"system":[8,23,110],"as":[9,40],"learning":[11,41,72],"algorithm,":[12],"models":[13],"specific":[14],"features":[15],"of":[16,29,37,53,63,71],"proceedings,":[18],"and":[19,73,113],"asks":[20],"whether":[21],"this":[22],"learns":[24],"efficiently.":[25],"A":[26],"particular":[27],"feature":[28],"our":[30],"model":[31],"is":[32,68],"explicitly":[33],"viewing":[34],"various":[35],"aspects":[36],"court":[38,56,87],"proceedings":[39],"algorithms.":[42],"viewpoint":[44],"enables":[45],"directly":[46],"pointing":[47],"out":[48],"that":[49,80],"when":[50,96],"the":[51,61,93,109],"costs":[52],"going":[54,64],"to":[55,65,86,103,107],"are":[57,84],"not":[58],"commensurate":[59],"with":[60],"benefits":[62],"court,":[66,108],"there":[67],"failure":[70],"inaccurate":[74],"outcomes":[75],"will":[76],"persist":[77],"in":[78],"cases":[79,83,106],"settle.":[81],"Specifically,":[82],"brought":[85],"an":[89],"insufficient":[90],"rate.":[91],"On":[92],"other":[94],"hand,":[95],"individuals":[97],"can":[98,111],"be":[99],"compelled":[100],"or":[101],"incentivized":[102],"bring":[104],"their":[105],"learn":[112],"inaccuracy":[114],"vanishes":[115],"over":[116],"time.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
