<?xml version="1.0"?><rdf: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</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-1UYCX0E4/04af52ae-72c9-4a04-8cf9-deef10c6f46b/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2013-2026"><edm:begin xml:lang="en">2013</edm:begin><edm:end xml:lang="en">2026</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-1UYCX0E4"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-CFT6PFGK" /><dcterms:issued>2026</dcterms:issued><dc:creator>Žnidar Petelinšek, Rok</dc:creator><dc:format xml:lang="sl">številka:1/2</dc:format><dc:format xml:lang="sl">letnik:81</dc:format><dc:format xml:lang="sl">str. 105-110, 127-128</dc:format><dc:identifier>ISSN:0032-6976</dc:identifier><dc:identifier>COBISSID_HOST:270972419</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-1UYCX0E4</dc:identifier><dc:language>sl</dc:language><dc:publisher xml:lang="sl">Zveza društev pravnikov Slovenije</dc:publisher><dcterms:isPartOf xml:lang="sl">Pravnik</dcterms:isPartOf><dc:subject xml:lang="en">agent-based workflows</dc:subject><dc:subject xml:lang="sl">agentni tokovi</dc:subject><dc:subject xml:lang="en">AI</dc:subject><dc:subject xml:lang="en">artificial intelligence</dc:subject><dc:subject xml:lang="en">digitalisation</dc:subject><dc:subject xml:lang="sl">digitalizacija</dc:subject><dc:subject xml:lang="en">international crimes</dc:subject><dc:subject xml:lang="en">law</dc:subject><dc:subject xml:lang="sl">Pravo</dc:subject><dc:subject xml:lang="sl">Tax-Fin-Lex</dc:subject><dc:subject xml:lang="sl">TFL</dc:subject><dc:subject xml:lang="sl">UI</dc:subject><dc:subject xml:lang="sl">Umetna inteligenca</dc:subject><dcterms:temporal rdf:resource="2013-2026" /><dc:title xml:lang="sl">Umetna inteligenca kot statistično orodje sodobne pravne prakse|</dc:title><dc:description xml:lang="sl">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</dc:description><dc:description xml:lang="sl">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</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><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:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Ljubljani, Pravna fakulteta</edm:dataProvider><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" /></ore:Aggregation></rdf:RDF>