(Apologies for cross-posting)

A fully funded PhD position is now available at King’s College London on the 
project “‘Lost for words’: semantic search in the Find Case Law service of The 
National Archives”, a Collaborative Doctoral Award received by King’s College 
London in collaboration with The National Archives and funded by the London 
Arts & Humanities Partnership (LAHP). This interdisciplinary project is an 
exciting opportunity to work in natural language processing (particularly 
computational semantics and information retrieval) applied to legal texts and 
digital humanities.

About the project:
Access to case law is vital for safeguarding the constitutional right of access 
to justice. It enables members of the public to understand their position when 
facing litigation and to scrutinise court judgements. Since April 2022, UK 
court and tribunal decisions are preserved by The National Archives’ Find Case 
Law service as freely accessible online public records. This project seeks to 
improve Find Case Law by enhancing it with meaning-sensitive (semantic) search 
functionality. It will study how individuals without legal training use 
language to navigate court judgments and it will develop tools to facilitate 
this navigation. In most digital cultural heritage catalogues, while we can 
search for words within the metadata describing their records, we cannot search 
for records based on the meaning of words contained within these records, for 
example the different words to refer to “knife crime”. Therefore, users’ access 
to collection is determined by their ability to articulate their information 
need precisely. Recent advances in natural language processing unlock new 
possibilities for querying documents via state-of-the-art semantic search. 
Incorporating such search capabilities in the Find Case Law collection is 
crucial for democratising access to digital collections, helping expose the 
social impact of how the law is written.



Skills required 

Essential:  

·                     Experience with Natural Language Processing research and 
applied work, including developing new tools.  

·                     Interest in working with UK case law for improving access 
to justice 

Desirable:  

·                     Background in law or legal research. 

·                     Experience working with digital archives  

·                     Knowledge of User experience (UX) research  

·                     Knowledge of lexical semantics.  

·                     Experience with semantic search.  

·                     Experience with NLP applied to legal texts. 

  



About application process:
Applicants will need to submit an application for a PhD in Digital Humanities 
at King’s (https://tinyurl.com/ycxekhzv ) and an application for the LAHP 
(https://www.lahp.ac.uk/prospective-students/collaborative-doctoral-awards-projects-available/).
 Both applications need to be submitted by 26 January 2024 at 5pm.

Application Deadline: 26-Jan-2024

Web Address for Applications: 
https://lahp.flexigrant.com/login.aspx?ReturnUrl=https%3a%2f%2flahp.flexigrant.com%2fstartapplication.aspx%3fid%3d12709


For queries specific to the project, please contact the project’s lead 
supervisor Barbara McGillivray on 
barbara.mcgilliv...@kcl.ac.uk<mailto:barbara.mcgilliv...@kcl.ac.uk>  






Barbara McGillivray | @BarbaraMcGilli<https://twitter.com/BarbaraMcGilli>
Lecturer in Digital Humanities and Cultural Computation and lead of MA 
programme in Digital Humanities
Group lead of the Computational Humanities Research 
Group<https://www.kcl.ac.uk/research/computational-humanities-research-group>
Room 3.28, Department of Digital Humanities, King’s College London, Strand 
Campus, Strand, London, WC2R 2LS

Group lead of the Computational Humanities Research Group at King’s College 
London<https://www.kcl.ac.uk/research/computational-humanities-research-group>
Turing Fellow<https://www.turing.ac.uk/people/researchers/barbara-mcgillivray>, 
The Alan Turing Institute
Editor-in-chief of Journal of Open Humanities 
Data<https://openhumanitiesdata.metajnl.com/>


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