mlsanityData to 7 Oct 2026

State of the Art in Artificial Intelligence applied to the Legal Domain

arXiv 2204.07047 ↗First posted 10 Mar 2022cs.CL cs.AIcited by 3

Not on the map. Why?

Abstract (arXiv)

While Artificial Intelligence applied to the legal domain is a topic with origins in the last century, recent advances in Artificial Intelligence are posed to revolutionize it. This work presents an overview and contextualizes the main advances on the field of Natural Language Processing and how these advances have been used to further the state of the art in legal text analysis.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 19 of its 64 references that are in the map. First posted on arXiv 10 Mar 2022.

Builds on

19 of 64 references.

References · 19

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  4. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  5. 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,665
  6. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,973
  7. 2015A large annotated corpus for learning natural language inferencecited by 1,837
  8. 2017SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluationcited by 998
  9. 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 691
  10. 2018Universal Sentence Encodercited by 485
  11. 2017Supervised Learning of Universal Sentence Representations from Natural Language Inference Datacited by 428
  12. 2019Neural Legal Judgment Prediction in Englishcited by 208
7 more
  1. 2019Multilingual Universal Sentence Encoder for Semantic Retrievalcited by 192
  2. 2015Sequence to Sequence -- Video to Textcited by 157
  3. 2019AMR Parsing as Sequence-to-Graph Transductioncited by 50
  4. 2017Predicting the Law Area and Decisions of French Supreme Court Casescited by 30
  5. 2020Multi2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTcited by 26
  6. 2020Syn-QG: Syntactic and Shallow Semantic Rules for Question Generationcited by 12
  7. 2017ConvAMR: Abstract meaning representation parsing for legal documentcited by 1

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 2.

3 papers.

  1. 2023A Short Survey of Viewing Large Language Models in Legal Aspectcited by 51
  2. 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
  3. 2024Exploring the Nexus of Large Language Models and Legal Systems: A Short Surveycited by 6