2. Repository of UKIM
  3. Faculty of Computer Science and Engineering
  4. Faculty of Computer Science and Engineering: Conference papers

Repository of UKIM


Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/34710
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dc.contributor.authorGusev, Marjanen_US
dc.contributor.authorBogdanova, Ana Madevskaen_US
dc.contributor.authorAckovska, Nevenaen_US
dc.contributor.authorKostoska, Magdalenaen_US
dc.contributor.authorMileski, Dimitaren_US
dc.contributor.authorKostov, Alenen_US
dc.date.accessioned2026-01-30T07:27:17Z-
dc.date.available2026-01-30T07:27:17Z-
dc.date.issued2025-11-25-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/34710-
dc.descriptionAccepted versionen_US
dc.description.abstractThis survey presents the current landscape of AI legal tools, serving both legal professionals and the general public. It compares existing solutions, while also addressing technological and business challenges that shape their development and use. The findings contribute to a clearer understanding of the role and potential of AI assistants in the legal domain, offering insights relevant to both practitioners and researchers.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectLLMs , Legal AI , AI Agentsen_US
dc.titleAn Overview of Legal Artificial Intelligence Assistants Landscapeen_US
dc.typeProceeding articleen_US
dc.relation.conference2025 33rd Telecommunications Forum (TELFOR)en_US
dc.identifier.doi10.1109/telfor67910.2025.11314289-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx8/11314150/11314152/11314289.pdf?arnumber=11314289-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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