Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges
Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting leg...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Alexopoulos, Charalampos [verfasserIn] Saxena, Stuti [verfasserIn] Saxena, Shalini [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Journal of the knowledge economy - Springer US, 2010, 15(2023), 2 vom: 01. Juli, Seite 8513-8533 |
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| Übergeordnetes Werk: |
volume:15 ; year:2023 ; number:2 ; day:01 ; month:07 ; pages:8513-8533 |
| Links: |
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| DOI / URN: |
10.1007/s13132-023-01450-2 |
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SPR056792158 |
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| 520 | |a Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. | ||
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10.1007/s13132-023-01450-2 doi (DE-627)SPR056792158 (SPR)s13132-023-01450-2-e DE-627 ger DE-627 rakwb eng 330 VZ Alexopoulos, Charalampos verfasserin aut Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. Legal informatics (dpeaa)DE-He213 Natural language processing (dpeaa)DE-He213 NLP (dpeaa)DE-He213 India (dpeaa)DE-He213 Legal automated (teller) machines (dpeaa)DE-He213 LAMs (dpeaa)DE-He213 Judicial innovation (dpeaa)DE-He213 Legal technologies (dpeaa)DE-He213 Saxena, Stuti verfasserin (orcid)0000-0002-7837-3451 aut Saxena, Shalini verfasserin aut Enthalten in Journal of the knowledge economy Springer US, 2010 15(2023), 2 vom: 01. Juli, Seite 8513-8533 (DE-627)621547573 (DE-600)2543346-5 1868-7873 nnns volume:15 year:2023 number:2 day:01 month:07 pages:8513-8533 https://dx.doi.org/10.1007/s13132-023-01450-2 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 2 01 07 8513-8533 |
| spelling |
10.1007/s13132-023-01450-2 doi (DE-627)SPR056792158 (SPR)s13132-023-01450-2-e DE-627 ger DE-627 rakwb eng 330 VZ Alexopoulos, Charalampos verfasserin aut Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. Legal informatics (dpeaa)DE-He213 Natural language processing (dpeaa)DE-He213 NLP (dpeaa)DE-He213 India (dpeaa)DE-He213 Legal automated (teller) machines (dpeaa)DE-He213 LAMs (dpeaa)DE-He213 Judicial innovation (dpeaa)DE-He213 Legal technologies (dpeaa)DE-He213 Saxena, Stuti verfasserin (orcid)0000-0002-7837-3451 aut Saxena, Shalini verfasserin aut Enthalten in Journal of the knowledge economy Springer US, 2010 15(2023), 2 vom: 01. Juli, Seite 8513-8533 (DE-627)621547573 (DE-600)2543346-5 1868-7873 nnns volume:15 year:2023 number:2 day:01 month:07 pages:8513-8533 https://dx.doi.org/10.1007/s13132-023-01450-2 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 2 01 07 8513-8533 |
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10.1007/s13132-023-01450-2 doi (DE-627)SPR056792158 (SPR)s13132-023-01450-2-e DE-627 ger DE-627 rakwb eng 330 VZ Alexopoulos, Charalampos verfasserin aut Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. Legal informatics (dpeaa)DE-He213 Natural language processing (dpeaa)DE-He213 NLP (dpeaa)DE-He213 India (dpeaa)DE-He213 Legal automated (teller) machines (dpeaa)DE-He213 LAMs (dpeaa)DE-He213 Judicial innovation (dpeaa)DE-He213 Legal technologies (dpeaa)DE-He213 Saxena, Stuti verfasserin (orcid)0000-0002-7837-3451 aut Saxena, Shalini verfasserin aut Enthalten in Journal of the knowledge economy Springer US, 2010 15(2023), 2 vom: 01. Juli, Seite 8513-8533 (DE-627)621547573 (DE-600)2543346-5 1868-7873 nnns volume:15 year:2023 number:2 day:01 month:07 pages:8513-8533 https://dx.doi.org/10.1007/s13132-023-01450-2 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 2 01 07 8513-8533 |
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10.1007/s13132-023-01450-2 doi (DE-627)SPR056792158 (SPR)s13132-023-01450-2-e DE-627 ger DE-627 rakwb eng 330 VZ Alexopoulos, Charalampos verfasserin aut Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. Legal informatics (dpeaa)DE-He213 Natural language processing (dpeaa)DE-He213 NLP (dpeaa)DE-He213 India (dpeaa)DE-He213 Legal automated (teller) machines (dpeaa)DE-He213 LAMs (dpeaa)DE-He213 Judicial innovation (dpeaa)DE-He213 Legal technologies (dpeaa)DE-He213 Saxena, Stuti verfasserin (orcid)0000-0002-7837-3451 aut Saxena, Shalini verfasserin aut Enthalten in Journal of the knowledge economy Springer US, 2010 15(2023), 2 vom: 01. Juli, Seite 8513-8533 (DE-627)621547573 (DE-600)2543346-5 1868-7873 nnns volume:15 year:2023 number:2 day:01 month:07 pages:8513-8533 https://dx.doi.org/10.1007/s13132-023-01450-2 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 2 01 07 8513-8533 |
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10.1007/s13132-023-01450-2 doi (DE-627)SPR056792158 (SPR)s13132-023-01450-2-e DE-627 ger DE-627 rakwb eng 330 VZ Alexopoulos, Charalampos verfasserin aut Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. Legal informatics (dpeaa)DE-He213 Natural language processing (dpeaa)DE-He213 NLP (dpeaa)DE-He213 India (dpeaa)DE-He213 Legal automated (teller) machines (dpeaa)DE-He213 LAMs (dpeaa)DE-He213 Judicial innovation (dpeaa)DE-He213 Legal technologies (dpeaa)DE-He213 Saxena, Stuti verfasserin (orcid)0000-0002-7837-3451 aut Saxena, Shalini verfasserin aut Enthalten in Journal of the knowledge economy Springer US, 2010 15(2023), 2 vom: 01. Juli, Seite 8513-8533 (DE-627)621547573 (DE-600)2543346-5 1868-7873 nnns volume:15 year:2023 number:2 day:01 month:07 pages:8513-8533 https://dx.doi.org/10.1007/s13132-023-01450-2 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 2 01 07 8513-8533 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. 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Alexopoulos, Charalampos ddc 330 misc Legal informatics misc Natural language processing misc NLP misc India misc Legal automated (teller) machines misc LAMs misc Judicial innovation misc Legal technologies Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges |
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330 VZ Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges Legal informatics (dpeaa)DE-He213 Natural language processing (dpeaa)DE-He213 NLP (dpeaa)DE-He213 India (dpeaa)DE-He213 Legal automated (teller) machines (dpeaa)DE-He213 LAMs (dpeaa)DE-He213 Judicial innovation (dpeaa)DE-He213 Legal technologies (dpeaa)DE-He213 |
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natural language processing (nlp)-powered legal a(t)ms (lams) in india: possibilities and challenges |
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Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges |
| abstract |
Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract With the infusion of information and communications technology (ICT) in legal domain, of late, the attempts of reforming the judicial landscape have been forthcoming. In this vein, the paper seeks to present the possibility of harnessing natural language processing (NLP) for instituting legal automated (teller) machines (LAMs) in India as an innovative application of legal informatics in a developing country. Literature on legal informatics with a focus on NLP is scanned to drive home the key argument in the paper. Institutionalization of LAMs in a developing country like India would go a long way in expediting the automated judicial arbitration system apart from providing easier and accessible alternatives to the aggrieved parties. However, it is important that the required political will and sustained leadership is there to provide the required wherewithal for the institutionalization of LA(t)Ms in the country. As an innovation in the field of legal informatics, LAM is the first of its kind both in terms of its ideation and in terms of the academic output till date. It is anticipated that academia would be interested to conceive of improvising LAMs in different contexts post-screening of the ecosystemic determinants therein. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Natural Language Processing (NLP)-Powered Legal A(t)Ms (LAMs) in India: Possibilities and Challenges |
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Saxena, Stuti Saxena, Shalini |
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| score |
7.399108 |