mlsanityData to 14 Oct 2026

Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers

arXiv 2311.06534 ↗First posted 11 Nov 2023cs.CLcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 18 of its 34 references that are in the map. First posted on arXiv 11 Nov 2023.

Builds on

18 of 34 references.

References · 18

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022Large Language Models are Zero-Shot Reasonerscited by 4,374
  3. 2020Learning to summarize from human feedbackcited by 2,588
  4. 2020It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learnerscited by 669
  5. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 606
  6. 2022News Summarization and Evaluation in the Era of GPT-3cited by 327
  7. 2021Recursively Summarizing Books with Human Feedbackcited by 290
  8. 2020Reformulating Unsupervised Style Transfer as Paraphrase Generationcited by 183
  9. 2022BRIO: Bringing Order to Abstractive Summarizationcited by 161
  10. 2020Generating Fact Checking Explanationscited by 132
  11. 2019BillSum: A Corpus for Automatic Summarization of US Legislationcited by 117
  12. 2020NILE : Natural Language Inference with Faithful Natural Language Explanationscited by 96
6 more
  1. 2023LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarizationcited by 96
  2. 2022An Empirical Survey on Long Document Summarization: Datasets, Models and Metricscited by 74
  3. 2021Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasurescited by 73
  4. 2023Summarization is (Almost) Deadcited by 44
  5. 2023Sentence Simplification via Large Language Modelscited by 15
  6. 2023Legal Extractive Summarization of U.S. Court Opinionscited by 9

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 3; 2026: 3.

8 papers.

  1. 2024Large Legal Fictions: Profiling Legal Hallucinations in Large Language Modelscited by 150
  2. 2025Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Modelscited by 10
  3. 2024It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Humancited by 5
  4. 2026Gender Bias in LLMs: Preliminary Evidence from Shared Parenting Scenario in Czech Family Lawcited by 1
  5. 2025PersonaMatrix: A Recipe for Persona-Aware Evaluation of Legal Summarizationcited by 0
  6. 2025LLMs in Interpreting Legal Documentscited by 0
  7. 2026Legal Domain Adaptation of Modern BERT Modelscited by 0
  8. 2026Investigating the Impacts of Generative AI on Information Seekingcited by 0