@inproceedings{akarajaradwong-etal-2026-fourcorners,
title = "{F}our{C}orners: Grounded {T}hai Legal Research over a Temporal Knowledge Graph",
author = "Akarajaradwong, Pawitsapak and
Nopparatbundit, Thitiwat and
Saeteng, Treephop and
Phoncharoen, Kasidit and
Nutanong, Sarana and
Chaksangchaichot, Chompakorn",
editor = "Durrett, Greg and
Jian, Ping",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-demo.46/",
pages = "463--472",
ISBN = "979-8-89176-392-0",
abstract = "Legal practitioners in Thailand must navigate fragmented government websites to research over 3,800 active laws and 87,000 Supreme Court decisions, with no unified tool for cross-referencing, version tracking, or structural navigation. We present FourCorners, a deployed platform that addresses five practitioner pain points through three modules built on a temporal legal knowledge graph covering 552K nodes and 6.3M edges: (1) an AI legal assistant that performs grounded generation via structured graph retrieval, streaming verified source content inline with responses; (2) an interactive law reader that translates graph structure into navigation and comparison features; and (3) a court decision explorer with version-aware citations produced by temporal entity resolution across 87,394 rulings. The system discovers implicit cross-corpus relationships through co-citation analysis of Supreme Court decisions. Interviews with 20 legal professionals reveal that inline source verification fundamentally changes how practitioners interact with AI-generated legal content, and that cross-corpus enrichment surfaces legal relationships that existing tools leave invisible."
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<abstract>Legal practitioners in Thailand must navigate fragmented government websites to research over 3,800 active laws and 87,000 Supreme Court decisions, with no unified tool for cross-referencing, version tracking, or structural navigation. We present FourCorners, a deployed platform that addresses five practitioner pain points through three modules built on a temporal legal knowledge graph covering 552K nodes and 6.3M edges: (1) an AI legal assistant that performs grounded generation via structured graph retrieval, streaming verified source content inline with responses; (2) an interactive law reader that translates graph structure into navigation and comparison features; and (3) a court decision explorer with version-aware citations produced by temporal entity resolution across 87,394 rulings. The system discovers implicit cross-corpus relationships through co-citation analysis of Supreme Court decisions. Interviews with 20 legal professionals reveal that inline source verification fundamentally changes how practitioners interact with AI-generated legal content, and that cross-corpus enrichment surfaces legal relationships that existing tools leave invisible.</abstract>
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%0 Conference Proceedings
%T FourCorners: Grounded Thai Legal Research over a Temporal Knowledge Graph
%A Akarajaradwong, Pawitsapak
%A Nopparatbundit, Thitiwat
%A Saeteng, Treephop
%A Phoncharoen, Kasidit
%A Nutanong, Sarana
%A Chaksangchaichot, Chompakorn
%Y Durrett, Greg
%Y Jian, Ping
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-392-0
%F akarajaradwong-etal-2026-fourcorners
%X Legal practitioners in Thailand must navigate fragmented government websites to research over 3,800 active laws and 87,000 Supreme Court decisions, with no unified tool for cross-referencing, version tracking, or structural navigation. We present FourCorners, a deployed platform that addresses five practitioner pain points through three modules built on a temporal legal knowledge graph covering 552K nodes and 6.3M edges: (1) an AI legal assistant that performs grounded generation via structured graph retrieval, streaming verified source content inline with responses; (2) an interactive law reader that translates graph structure into navigation and comparison features; and (3) a court decision explorer with version-aware citations produced by temporal entity resolution across 87,394 rulings. The system discovers implicit cross-corpus relationships through co-citation analysis of Supreme Court decisions. Interviews with 20 legal professionals reveal that inline source verification fundamentally changes how practitioners interact with AI-generated legal content, and that cross-corpus enrichment surfaces legal relationships that existing tools leave invisible.
%U https://aclanthology.org/2026.acl-demo.46/
%P 463-472
Markdown (Informal)
[FourCorners: Grounded Thai Legal Research over a Temporal Knowledge Graph](https://aclanthology.org/2026.acl-demo.46/) (Akarajaradwong et al., ACL 2026)
ACL
- Pawitsapak Akarajaradwong, Thitiwat Nopparatbundit, Treephop Saeteng, Kasidit Phoncharoen, Sarana Nutanong, and Chompakorn Chaksangchaichot. 2026. FourCorners: Grounded Thai Legal Research over a Temporal Knowledge Graph. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 463–472, San Diego, California, United States. Association for Computational Linguistics.