{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-1UYCX0E4/a4d637b6-93a9-4e66-8952-f2b663ac988b/PDF","dcterms:extent":"162 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-1UYCX0E4/04af52ae-72c9-4a04-8cf9-deef10c6f46b/TEXT","dcterms:extent":"0 KB"}],"edm:TimeSpan":{"@rdf:about":"2013-2026","edm:begin":{"@xml:lang":"en","#text":"2013"},"edm:end":{"@xml:lang":"en","#text":"2026"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-1UYCX0E4","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/URN:NBN:SI:spr-CFT6PFGK"},{"@xml:lang":"sl","#text":"Pravnik"}],"dcterms:issued":"2026","dc:creator":"Žnidar Petelinšek, Rok","dc:format":[{"@xml:lang":"sl","#text":"številka:1/2"},{"@xml:lang":"sl","#text":"letnik:81"},{"@xml:lang":"sl","#text":"str. 105-110, 127-128"}],"dc:identifier":["ISSN:0032-6976","COBISSID_HOST:270972419","URN:URN:NBN:SI:doc-1UYCX0E4"],"dc:language":"sl","dc:publisher":{"@xml:lang":"sl","#text":"Zveza društev pravnikov Slovenije"},"dc:subject":[{"@xml:lang":"en","#text":"agent-based workflows"},{"@xml:lang":"sl","#text":"agentni tokovi"},{"@xml:lang":"en","#text":"AI"},{"@xml:lang":"en","#text":"artificial intelligence"},{"@xml:lang":"en","#text":"digitalisation"},{"@xml:lang":"sl","#text":"digitalizacija"},{"@xml:lang":"en","#text":"international crimes"},{"@xml:lang":"en","#text":"law"},{"@xml:lang":"sl","#text":"Pravo"},{"@xml:lang":"sl","#text":"Tax-Fin-Lex"},{"@xml:lang":"sl","#text":"TFL"},{"@xml:lang":"sl","#text":"UI"},{"@xml:lang":"sl","#text":"Umetna inteligenca"}],"dcterms:temporal":{"@rdf:resource":"2013-2026"},"dc:title":{"@xml:lang":"sl","#text":"Umetna inteligenca kot statistično orodje sodobne pravne prakse|"},"dc:description":[{"@xml:lang":"sl","#text":"The article examines the integration of advanced artificial intelligence systems into the Slovenian legal context, defining the technology as a natural evolution of the digitalisation of law rather than a radical methodological rupture. The central part of the text analyses the engineering foundations of natural language processing as a key mechanism for preventing hallucinations in language models. From a practical implementation perspective, the article presents the transition from traditional search engines to intelligent legal case files and agent-based workflows that enable automated entity extraction and semantic document analysis. The concluding thought emphasises that AI in law remains a high-technology statistical instrument whose effectiveness is directly dependent on the user’s domain knowledge, while ethical responsibility and axiological judgement remain the exclusive responsibility of the legal professional. Finally, the author introduces the next generation of legal artificial intelligence - TFL AI PLUS - which he helped develop within the company Tax-Fin-Lex"},{"@xml:lang":"sl","#text":"Članek obravnava vključevanje naprednih sistemov umetne inteligence v slovenski pravni prostor, pri čemer tehnologijo opredeljuje kot naravno evolucijo digitalizacije prava in ne kot korenit metodološki prelom. Osrednji del besedila razčlenjuje inženirske temelje obdelave naravnega jezika kot ključni mehanizem za preprečevanje halucinacij jezikovnih modelov. Prispevek skozi prizmo praktične implementacije predstavi prehod od klasičnih iskalnikov k inteligentnim pravnim mapam in agentnim tokovom, ki omogočajo avtomatizirano ekstrakcijo entitet ter semantično analizo dokumentov. Avtor sklene z mislijo, da umetna inteligenca v pravu ostaja visokotehnološki statistični instrument, čigar učinkovitost je neposredno odvisna od domenskega znanja uporabnika, etična odgovornost in aksiološka presoja pa ostajata neodtujljiva domena pravnika. Za konec avtor predstavi tudi naslednjo generacijo Pravne umetne inteligence - TFL AI PLUS, ki jo je pomagal razviti v okviru družbe Tax-Fin-Lex"}],"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-1UYCX0E4","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-1UYCX0E4"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-1UYCX0E4/a4d637b6-93a9-4e66-8952-f2b663ac988b/PDF"},"edm:rights":{"@rdf:resource":"http://rightsstatements.org/vocab/InC/1.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Univerza v Ljubljani, Pravna fakulteta"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-1UYCX0E4/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-1UYCX0E4"}}}}