{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:56Z","timestamp":1750219856811,"version":"3.41.0"},"reference-count":5,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGIR Forum"],"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:p>\n            This report describes the 2\n            <jats:sup>\n              <jats:italic>nd<\/jats:italic>\n            <\/jats:sup>\n            edition of the Symposium on Artificial Intelligence and Law (SAIL) organized as a virtual event during June 6--9, 2022. The aim of SAIL is to bring together experts from the industry and the academia to discuss the scope and future of AI as applied to the legal domain. The symposium is also meant to foster collaborations between researchers of the following communities: Law, Artificial Intelligence, Data Mining, Information Retrieval, and Natural Language Processing. Eminent researchers working on AI and Law in both the academia and the industry were invited to deliver talks at this symposium.\n          <\/jats:p>\n          <jats:p>\n            <jats:bold>Date:<\/jats:bold>\n            6--9 June, 2022.\n          <\/jats:p>\n          <jats:p>\n            <jats:bold>Website:<\/jats:bold>\n            https:\/\/sites.google.com\/view\/sail-2022\/.\n          <\/jats:p>","DOI":"10.1145\/3582524.3582538","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T17:06:33Z","timestamp":1674839193000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022"],"prefix":"10.1145","volume":"56","author":[{"given":"Saptarshi","family":"Ghosh","sequence":"first","affiliation":[{"name":"IIT Kharagpur, India"}]},{"given":"Kripabandhu","family":"Ghosh","sequence":"additional","affiliation":[{"name":"IISER Kolkata, India"}]},{"given":"Debasis","family":"Ganguly","sequence":"additional","affiliation":[{"name":"University of Glasgow, UK"}]},{"given":"Arnab","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"IIT Kanpur, India"}]},{"given":"Partha Pratim","family":"Chakrabarti","sequence":"additional","affiliation":[{"name":"IIT Kharagpur, India"}]},{"given":"Shouvik","family":"Guha","sequence":"additional","affiliation":[{"name":"WBNUJS Kolkata, India"}]},{"given":"Arindam","family":"Pal","sequence":"additional","affiliation":[{"name":"CSIRO &amp; UNSW Sydney, Australia"}]},{"given":"Koustav","family":"Rudra","sequence":"additional","affiliation":[{"name":"IIT Dhanbad, India"}]},{"given":"Prasenjit","family":"Majumder","sequence":"additional","affiliation":[{"name":"DAIICT, Gandhinagar, India"}]},{"given":"Dwaipayan","family":"Roy","sequence":"additional","affiliation":[{"name":"IISER Kolkata, India"}]},{"given":"Ayan","family":"Bandopadhyay","sequence":"additional","affiliation":[{"name":"TCG Crest, Kolkata, India"}]},{"given":"Procheta","family":"Sen","sequence":"additional","affiliation":[{"name":"University College London, UK"}]},{"given":"Paheli","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"IIT Kharagpur, India"}]},{"given":"Aniket","family":"Deroy","sequence":"additional","affiliation":[{"name":"IIT Kharagpur, India"}]},{"given":"Upal","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"IISER Kolkata, India"}]},{"given":"Subinay","family":"Adhikary","sequence":"additional","affiliation":[{"name":"IISER Kolkata, India"}]},{"given":"Subham Kumar","family":"Nigam","sequence":"additional","affiliation":[{"name":"IIT Kanpur, India"}]}],"member":"320","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"413","volume-title":"Proc. European Conference on Information Retrieval (ECIR)","author":"Bhattacharya Paheli","year":"2019","unstructured":"Paheli Bhattacharya , Kaustubh Hiware , Subham Rajgaria , Nilay Pochhi , Kripabandhu Ghosh , and Saptarshi Ghosh . A comparative study of summarization algorithms applied to legal case judgments . In Proc. European Conference on Information Retrieval (ECIR) , pages 413 -- 428 , 2019 . Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, and Saptarshi Ghosh. A comparative study of summarization algorithms applied to legal case judgments. In Proc. European Conference on Information Retrieval (ECIR), pages 413--428, 2019."},{"key":"e_1_2_1_2_1","first-page":"1657","volume-title":"Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Bhattacharya Paheli","year":"2020","unstructured":"Paheli Bhattacharya , Kripabandhu Ghosh , Arindam Pal , and Saptarshi Ghosh . Hier-spcnet : A legal statute hierarchy-based heterogeneous network for computing legal case document similarity . In Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval , page 1657 -- 1660 , 2020 . Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, and Saptarshi Ghosh. Hier-spcnet: A legal statute hierarchy-based heterogeneous network for computing legal case document similarity. In Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval, page 1657--1660, 2020."},{"key":"e_1_2_1_3_1","first-page":"4046","volume-title":"Proc. Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP)","author":"Malik Vijit","year":"2021","unstructured":"Vijit Malik , Rishabh Sanjay , Shubham Kumar Nigam , Kripabandhu Ghosh , Shouvik Kumar Guha , Arnab Bhattacharya , and Ashutosh Modi . ILDC for CJPE: Indian legal documents corpus for court judgment prediction and explanation . In Proc. Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP) , pages 4046 -- 4062 , 2021 . Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, and Ashutosh Modi. ILDC for CJPE: Indian legal documents corpus for court judgment prediction and explanation. In Proc. Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), pages 4046--4062, 2021."},{"key":"e_1_2_1_4_1","volume-title":"Ken Satoh. A Summary of the COLIEE 2019 Competition. In JSAI-isAI Workshops","author":"Rabelo Juliano","year":"2019","unstructured":"Juliano Rabelo , Mi-Young Kim , Randy Goebel , Masaharu Yoshioka , Yoshinobu Kano , and Ken Satoh. A Summary of the COLIEE 2019 Competition. In JSAI-isAI Workshops , 2019 . Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, and Ken Satoh. A Summary of the COLIEE 2019 Competition. In JSAI-isAI Workshops, 2019."},{"key":"e_1_2_1_5_1","first-page":"5218","volume-title":"Proc. Annual Meeting of the Association for Computational Linguistics (ACL)","author":"Zhong Haoxi","year":"2020","unstructured":"Haoxi Zhong , Chaojun Xiao , Cunchao Tu , Tianyang Zhang , Zhiyuan Liu , and Maosong Sun . How does NLP benefit legal system: A summary of legal artificial intelligence . In Proc. Annual Meeting of the Association for Computational Linguistics (ACL) , pages 5218 -- 5230 , 2020 . Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. How does NLP benefit legal system: A summary of legal artificial intelligence. In Proc. Annual Meeting of the Association for Computational Linguistics (ACL), pages 5218--5230, 2020."}],"container-title":["ACM SIGIR Forum"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582524.3582538","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582524.3582538","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:16Z","timestamp":1750178836000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582524.3582538"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":5,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["10.1145\/3582524.3582538"],"URL":"https:\/\/doi.org\/10.1145\/3582524.3582538","relation":{},"ISSN":["0163-5840"],"issn-type":[{"type":"print","value":"0163-5840"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"2023-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}