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Making a Computational Attorney

arXiv 2303.05383 ↗First posted 7 Mar 2023cs.CL cs.CY cs.LGcited by 0

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Abstract (arXiv)

This "blue sky idea" paper outlines the opportunities and challenges in data mining and machine learning involving making a computational attorney -- an intelligent software agent capable of helping human lawyers with a wide range of complex high-level legal tasks such as drafting legal briefs for the prosecution or defense in court. In particular, we discuss what a ChatGPT-like Large Legal Language Model (L3M) can and cannot do today, which will inspire researchers with promising short-term and long-term research objectives.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 26 references that are in the map. First posted on arXiv 7 Mar 2023.

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14 of 26 references.

References · 14

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  3. 2022Locating and Editing Factual Associations in GPTcited by 2,609
  4. 2022Emergent Abilities of Large Language Modelscited by 2,483
  5. 2022Mass-Editing Memory in a Transformercited by 976
  6. 2021When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Datasetcited by 199
  7. 2020How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligencecited by 128
  8. 2021Lawformer: A Pre-trained Language Model for Chinese Legal Long Documentscited by 115
  9. 2022Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Datasetcited by 113
  10. 2020LEGAL-BERT: The Muppets straight out of Law Schoolcited by 111
  11. 2022A Survey of Knowledge Enhanced Pre-trained Language Modelscited by 76
  12. 2022GPT Takes the Bar Examcited by 65
2 more
  1. 2022Legal Prompting: Teaching a Language Model to Think Like a Lawyercited by 60
  2. 2022Legal Prompt Engineering for Multilingual Legal Judgement Predictioncited by 54

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