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XHAILe: Explainable Hybrid AI for Computational Law and Accurate Legal Chatbots

  • Thomas Hildebrandt*
  • , Hugo-Andrés López-Acosta*
  • , Konstantinos Varvoutas
  • , Henrik Palmer Olsen
  • , Marieke Anne Heyl
  • , Manex Aguirrezabal Zabaleta
  • , Bolette Pedersen
  • , Daniel Hershcovich
  • , Ilias Chalkidis
  • , Ali Mohammed Ali Al-Laith
  • , Amogh Raina
  • , Tilman Zuckmantel
  • , Morten Marquard
  • , Søren Debois
  • , Håkon Normann
  • , Leif Storgaard
  • , Ghita Thiesen
  • , Jim Foli
  • , Jakob Eiby
  • *Corresponding author for this work
  • University of Copenhagen
  • DCR Solutions A/S
  • Tieto Sweden AB
  • Local Government Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The XHAILe Grand Solutions project brings together leading Danish researchers in law, language technology, AI and computational law and providers of digital public administration and legal tech software, to develop accurate and explainable Hybrid-AI solutions that combine efficient AI-based translation of law to an open computational law rule format and a conversational agent using a rule engine via an open API. Here come trustworthy, new legal benchmarks and guidelines for the use of the technology. The results will be evaluated and demonstrated on use cases from local and central government.
Original languageEnglish
Title of host publicationProceedings of the 38th edition of the International Conference on Advanced Information Systems Engineering (CAiSE'26)
Number of pages12
PublisherCEUR-WS
Publication statusAccepted/In press - 2026
Event38th edition of the International Conference on Advanced Information Systems Engineering - Verona, Italy
Duration: 8 Jun 2026 → 12 Jun 2026

Conference

Conference38th edition of the International Conference on Advanced Information Systems Engineering
Country/TerritoryItaly
CityVerona
Period08/06/2026 → 12/06/2026

Keywords

  • Hybrid AI
  • Computational Law
  • Legal Chatbots
  • DCR Graphs
  • NLP
  • LLM
  • eGovernment

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