Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
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| _version_ | 1866914698901848064 |
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| author | Ash, Elliott Kesari, Aniket Naidu, Suresh Song, Lena Stammbach, Dominik |
| author_facet | Ash, Elliott Kesari, Aniket Naidu, Suresh Song, Lena Stammbach, Dominik |
| contents | Judicial opinions are written to be persuasive and could build public trust in court decisions, yet they can be difficult for non-experts to understand. We present a pipeline for using an AI assistant to generate simplified summaries of judicial opinions. Compared to existing expert-written summaries, these AI-generated simple summaries are more accessible to the public and more easily understood by non-experts. We show in a survey experiment that the AI summaries help respondents understand the key features of a ruling, and have higher perceived quality, especially for respondents with less formal education. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_06534 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers Ash, Elliott Kesari, Aniket Naidu, Suresh Song, Lena Stammbach, Dominik Computation and Language Judicial opinions are written to be persuasive and could build public trust in court decisions, yet they can be difficult for non-experts to understand. We present a pipeline for using an AI assistant to generate simplified summaries of judicial opinions. Compared to existing expert-written summaries, these AI-generated simple summaries are more accessible to the public and more easily understood by non-experts. We show in a survey experiment that the AI summaries help respondents understand the key features of a ruling, and have higher perceived quality, especially for respondents with less formal education. |
| title | Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2311.06534 |