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Document Level Embeddings for Identifying Similar Legal Cases and Laws

Intisar Almuslim, Diana Inkpen
2020 Forum for Information Retrieval Evaluation  
In this work, we propose a text similarity approach to retrieve previous cases and statues that are similar to a given case from a set of legal documents.  ...  Therefore, there is a need for automated systems which can identify the set of the most relevant precedents (prior cases) and suitable laws (statues) for any situation.  ...  In recent years, there have been some competitions on the topic of legal information retrieval. The FIRE 2017 IRLeD Track [3] defined two tasks; Catch Phrase Extraction and Precedence Retrieval.  ... 
dblp:conf/fire/AlmuslimI20 fatcat:qst47zyy3nawxfpuxn3ttcvn7q

A Text Similarity Approach for Precedence Retrieval from Legal Documents

D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan
2017 Forum for Information Retrieval Evaluation  
Precedence retrieval of legal documents is an information retrieval task to retrieve prior case documents that are related to a given case document.  ...  Lexical features are extracted from all the legal documents and the similarity between each current case document and all the prior case documents are determined using cosine similarity scores.  ...  ACKNOWLEDGMENTS We would like to thank the management of SSN Institutions for funding the High Performance Computing (HPC) lab where this work is being carried out.  ... 
dblp:conf/fire/ThenmozhiKA17 fatcat:wj5l65oyajekpb6ndexocip7ny

AI enabled legal assistance system: A case study

Y. Sri Lalitha, N. V. Ganapathi Raju, V. Ram Teja, P. Sravani, E. Sridhar Reddy
2022 International Journal of Health Sciences  
Given a Case, finding the related prior cases and their judgements is a time consuming job of a Lawyer. The lawyer has to go through huge volumes of law books and prepare his case.  ...  The work here presents a case study to retrieve judgments given in the past for a given factual description. The dataset considered for this work is selected from FIRE-2019, AILA track.  ...  The goal of the study in [3] was to automatically extract "argumentation-relevant information from a corpora of legal judgement documents" and "construct new arguments utilising that information.".  ... 
doi:10.53730/ijhs.v6ns3.7553 fatcat:wdynajkkanbk7l34vjmcq55ewi

Legal Information Retrieval and Rhetorical Role Labelling for Legal Judgements

Nitin Nikamanth Appiah Balaji, B. Bharathi, J. Bhuvana
2020 Forum for Information Retrieval Evaluation  
The first task is, given the description of a situation, identify relevant statutes, and prior-cases.  ...  Retrieving the most relevant information from a huge amount of documents is a tedious process. Nowadays, artificial intelligence plays a major role in information retrieval tasks.  ...  In [6] , the important topic words were extracted from the given situation and the topic words were used as a query to identify the relevant prior cases.  ... 
dblp:conf/fire/BalajiBB20 fatcat:huvx3cieinf4jawxeol3xbne2q

Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents

Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, Saptarshi Ghosh
2017 Forum for Information Retrieval Evaluation  
In the second task of Precedence Retrieval, the participants were to retrieve relevant or cite-able documents for particular Indian Supreme Court cases from a set of prior case documents.  ...  The FIRE 2017 IRLeD Track focused on creating a framework for evaluating different methods of Information Retrieval from legal documents.  ...  INTRODUCTION In a Common Law System 1 , great importance is given to prior cases.  ... 
dblp:conf/fire/MandalGBPG17 fatcat:m7hsqduk6ngvdpz5vuinfvml5u

UB at FIRE 2020 Precedent and Statute Retrieval

Tebo Leburu-Dingalo, Nkwebi Peace Motlogelwa, Edwin Thuma, Monkgogi Modongo
2020 Forum for Information Retrieval Evaluation  
In this paper we explore several retrieval strategies in an attempt to identify relevant statues and prior cases using a description of a current situation (current case).  ...  The results suggest that expanding the current case can improve the retrieval performance when the retrieval is performed on a summarised document collection of prior cases.  ...  The second experiment used summarised prior case documents to improve retrieval effectiveness by extracting only key concepts from the prior case documents (UB-2).  ... 
dblp:conf/fire/Leburu-DingaloM20 fatcat:potqzytxtbh35blin5uyezhso4

Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance

Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder
2019 Forum for Information Retrieval Evaluation  
The FIRE 2019 AILA track focused on creating a framework for evaluating different methods of retrieving relevant prior/precedent cases and statutes given a factual scenario.  ...  The factual scenarios, statutes and prior case documents used in the tasks were from the Indian Supreme Court judiciary.  ...  UK, USA, Canada, Australia, India), there are two primary sources of law -Statutes (established laws, such as the Constitution of a country) and Precedents (prior cases decided in courts of law).  ... 
dblp:conf/fire/BhattacharyaG0019a fatcat:djuswzqn2bgmzaoc7vvzz43irq

Forthcoming Papers

2003 Artificial Intelligence  
Empirical evidence from diverse experiments shows that for purposes of teaching legal argumentation and performing legal information retrieval, HYPO-style systems' lazy learning approach and implementation  ...  Law, learning and representation In machine learning terms, reasoning in legal cases can be compared to a lazy learning approach in which courts defer deciding how to generalize beyond the prior cases  ...  Vachher, Information extraction from case law and retrieval of prior cases We describe an information extraction and retrieval system, called History Assistant, which extracts rulings from court opinions  ... 
doi:10.1016/s0004-3702(03)00158-9 fatcat:sze4uoaylzchzbn3lifjjfgtny

IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task

Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De, Tanik Saikh, Asif Ekbal
2019 Forum for Information Retrieval Evaluation  
This is an integral event of Forum for Information Retrieval Evaluation -2019. The outcomes of this track would be helpful for the automation of the working process of the Indian Judiciary System.  ...  This track defined two problems such as Task 1 : Identifying relevant prior cases for a given situation and Task 2 : Identifying the most relevant statutes for a given situation.  ...  Task 1 was to retrieve the supporting cases for a new case from the whole case law corpus. Task 2 was about to identify paragraphs from prior cases that entails the decision of a new case.  ... 
dblp:conf/fire/GainBDSE19 fatcat:3ulx7yjq7bb35gy6j5jneglmte

Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance

Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
2020 Forum for Information Retrieval Evaluation  
The FIRE 2020 AILA track focused on two tasks -(i) Retrieving relevant Prior cases and Statutes given a factual description, and (ii) Rhetorical labelling of sentences in a legal case document, where the  ...  rhetorical roles are -Facts of the case, Ruling by the Lower Court, Argument, Statute, Precedent, Ratio of the decision and Ruling by the Present Court.  ...  The research is partially supported by SERB, Government of India, through a project titled "NYAYA: A Legal Assistance System for Legal Experts and the Common Man in India".  ... 
dblp:conf/fire/Bhattacharya00020 fatcat:oteex5oamfev5kuwjq3les3lea

DLRG@AILA 2019: Context - Aware Legal Assistance System

R. Ramesh Kannan, R. Rajalakshmi
2019 Forum for Information Retrieval Evaluation  
We would also like to thank the Department of Science and Engineering Research Board (SERB), Government of India for their financial grant (Grant awarded ECR/2016/00484) for this research work.  ...  The authors would like to thank the management of Vellore Institute of Technology (VIT), Chennai for providing the support to carry out this work.  ...  Common Law Systems are followed in countries like UK, USA, Canada, Australia and India that has two primary sources of law viz., statues (established laws) and precedents (prior cases).  ... 
dblp:conf/fire/KannanR19 fatcat:ql7y5quwjfambicleofzapmpsm

Detection of Catchphrases and Precedence in Legal Documents

Yogesh H. Kulkarni, Rishabh Patil, Srinivasan Shridharan
2017 Forum for Information Retrieval Evaluation  
Automatic Catchphrase Detection: One of the key requirements of such information retrieval system is to pre-populate database of prior cases with catchphrases for better indexing and faster, relevant retrieval  ...  An automatic precedent retrieval system is the need of the hour. One of the key requirements of such information system is to find cases which could be "similar" to the case in hand.  ...  ACKNOWLEDGMENTS Wish to thank Ankur Parikh, a keen researcher of Deep Learning and NLP, for discussions.  ... 
dblp:conf/fire/KulkarniPS17 fatcat:vorpos3u3nd5bgovtzeqhgikxa

Combining Lexical and Neural Retrieval with Longformer-based Summarization for Effective Case Law Retrieval

Arian Askari, Suzan Verberne
2021 Biennial Conference on Design of Experimental Search & Information Retrieval Systems  
We evaluate our methods on the retrieval benchmarks from COLIEE'20 and COLIEE'21. We beat state-of-the-art models for case law retrieval with both benchmark sets.  ...  In this paper, we combine lexical and neural ranking models for case law retrieval.  ...  The majority of the work addressing case law retrieval takes place in the context of COLIEE, the Competition on Legal Information Extraction and Entailment [13, 2] .  ... 
dblp:conf/desires/AskariV21 fatcat:jc2nrt2zzjbctnlvx4exbvbdem

Generating Value from Textual Discovery [chapter]

Peter Jackson
2007 Lecture Notes in Computer Science  
Much of the information associated with legal, financial, medical and educational domains is stored in electronic document repositories and retrievable only by full text search.  ...  The outcome is a more flexible and dynamic approach to meta-data generation that does a better job of supporting the searching and browsing behaviors of information consumers.  ...  This information was then used to generate a query that would return prior case candidates from a database of 7 million past cases.  ... 
doi:10.1007/978-3-540-72588-6_123 fatcat:ccem7bets5hnflvzbmudxcl6zq

Query Revaluation Method For Legal Information Retrieval

Liang Liu, Lexiao Liu, Zhongyuan Han
2020 Forum for Information Retrieval Evaluation  
In this paper, we introduced in detail the method of implementing the task of identifying relevant prior cases in artificial intelligence for legal assistance.  ...  For the task, we transformed the problem into a retrieval task and used the BM25 retrieval model to try to make it perform better in this task.  ...  Acknowledgments This work is supported by National Social Science Fund of China (No.18BYY125).  ... 
dblp:conf/fire/LiuLH20 fatcat:l2oq45zhbzgv3o5l7fm72hqadm
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