ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.01656
  4. Cited By
Promises and pitfalls of artificial intelligence for legal applications

Promises and pitfalls of artificial intelligence for legal applications

Social Science Research Network (SSRN), 2024
10 January 2024
Sayash Kapoor
Peter Henderson
Arvind Narayanan
    ELM
ArXiv (abs)PDFHTML

Papers citing "Promises and pitfalls of artificial intelligence for legal applications"

13 / 13 papers shown
Title
FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction
FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction
Natasha Johnson
Amanda Bertsch
Maria-Emil Deal
Emma Strubell
72
0
0
23 Oct 2025
Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization
Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization
Eunjung Cho
Alexander Hoyle
Yoan Hermstrüwer
AILawELM
122
0
0
30 Aug 2025
JUDGEBERT: Assessing Legal Meaning Preservation Between Sentences
JUDGEBERT: Assessing Legal Meaning Preservation Between Sentences
David Beauchemin
Michelle Albert-Rochette
Richard Khoury
Pierre-Luc Déziel
AILawELM
96
0
0
23 Aug 2025
Bye-bye, Bluebook? Automating Legal Procedure with Large Language Models
Bye-bye, Bluebook? Automating Legal Procedure with Large Language Models
Matthew Dahl
AILawELM
190
0
0
05 May 2025
Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification
Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification
Allison Koenecke
Jed Stiglitz
David Mimno
Matthew Wilkens
AILawELM
180
1
0
02 Apr 2025
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court OpinionsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Mourad Heddaya
Kyle MacMillan
Anup Malani
Hongyuan Mei
Chenhao Tan
AILawELM
245
3
0
03 Jan 2025
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and
  Establishing Best Practices
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best PracticesNeural Information Processing Systems (NeurIPS), 2024
Anka Reuel
Amelia F. Hardy
Chandler Smith
Max Lamparth
Malcolm Hardy
Mykel J. Kochenderfer
ELM
474
60
0
20 Nov 2024
Robots in the Middle: Evaluating LLMs in Dispute Resolution
Robots in the Middle: Evaluating LLMs in Dispute ResolutionInternational Conference on Legal Knowledge and Information Systems (JURIX), 2024
Jinzhe Tan
Hannes Westermann
Nikhil Reddy Pottanigari
Jaromír Šavelka
Sébastien Meeùs
Mia Godet
Karim Benyekhlef
177
6
0
09 Oct 2024
Objection Overruled! Lay People can Distinguish Large Language Models
  from Lawyers, but still Favour Advice from an LLM
Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLMInternational Conference on Human Factors in Computing Systems (CHI), 2024
Eike Schneiders
Tina Seabrooke
Joshua Krook
Richard Hyde
Natalie Leesakul
Jeremie Clos
Joel Fischer
ELM
175
9
0
12 Sep 2024
Hallucination-Free? Assessing the Reliability of Leading AI Legal
  Research Tools
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Varun Magesh
Faiz Surani
Matthew Dahl
Mirac Suzgun
Christopher D. Manning
James Grimmelmann
HILMELMAILaw
159
181
0
30 May 2024
On the Societal Impact of Open Foundation Models
On the Societal Impact of Open Foundation Models
Sayash Kapoor
Rishi Bommasani
Kevin Klyman
Shayne Longpre
Ashwin Ramaswami
...
Victor Storchan
Daniel Zhang
James Grimmelmann
Abigail Z. Jacobs
Arvind Narayanan
219
80
0
27 Feb 2024
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible
  LLM Policies for Legal Advice
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
Inyoung Cheong
King Xia
K. J. Kevin Feng
Quan Ze Chen
Amy X. Zhang
AILawELM
229
107
0
02 Feb 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic
  Fact-checkers
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yuxia Wang
Revanth Gangi Reddy
Zain Muhammad Mujahid
Arnav Arora
Aleksandr Rubashevskii
...
Nadav Borenstein
Aditya Pillai
Isabelle Augenstein
Iryna Gurevych
Preslav Nakov
HILM
485
60
0
15 Nov 2023
1