mlsanityData to 7 Oct 2026

Legal Summarisation through LLMs: The PRODIGIT Project

arXiv 2308.04416 ↗First posted 4 Aug 2023cs.CLcited by 10

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Abstract (arXiv)

We present some initial results of a large-scale Italian project called PRODIGIT which aims to support tax judges and lawyers through digital technology, focusing on AI. We have focused on generation of summaries of judicial decisions and on the extraction of related information, such as the identification of legal issues and decision-making criteria, and the specification of keywords. To this end, we have deployed and evaluated different tools and approaches to extractive and abstractive summarisation. We have applied LLMs, and particularly on GPT4, which has enabled us to obtain results that proved satisfactory, according to an evaluation by expert tax judges and lawyers. On this basis, a prototype application is being built which will be made publicly available.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 8 of its 42 references that are in the map. First posted on arXiv 4 Aug 2023.

Builds on

8 of 42 references.

References · 8

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  3. 2023Can GPT-3 Perform Statutory Reasoning?cited by 71
  4. 2022Legal Prompting: Teaching a Language Model to Think Like a Lawyercited by 60
  5. 2022Legal Prompt Engineering for Multilingual Legal Judgement Predictioncited by 54
  6. 2022Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humanscited by 23
  7. 2022IT5: Text-to-text Pretraining for Italian Language Understanding and Generationcited by 20
  8. 2023Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standardscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 5; 2025: 1; 2026: 3.

10 papers.

  1. 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
  2. 2024Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarioscited by 7
  3. 2025When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governancecited by 3
  4. 2024Human Centered AI for Indian Legal Text Analyticscited by 1
  5. 2024Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrievalcited by 1
  6. 2024Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Studycited by 1
  7. 2023Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Paperscited by 0
  8. 2026From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Controlcited by 0
  9. 2026SinBrief: A Hybrid Framework for Abstractive Text Summarisation of Sinhala Legal Documentscited by 0
  10. 2026Which LLM to pick? Online Active Model Selection for Large Language Modelscited by 0