AI Daily Life Field Meeting by Ministry of Science and ICT on 31st
"Government Plan Needed to Reduce Concerns over Legal Tech AI Application"
Calls for Database Utilization and Cost Support Measures
A legal tech entrepreneur stated that clear government guidelines are needed regarding potential concerns arising in the application process of personal information, the Attorney-at-Law Act, copyright law, and other areas to promote the spread of artificial intelligence (AI) technology.
The Ministry of Science and ICT held a meeting on the 31st at the legal tech company L-Box in Gangnam-gu, Seoul, to explore ways to introduce artificial intelligence (AI) in domestic legal tech companies. Photo by Seongmin Lee, Junior Reporter minute@
At the 2nd AI Normalization On-site Meeting held on the 31st at 'Elbox,' a legal tech specialized company in Gangnam-gu, Seoul, Lee Jin, CEO of Elbox, said, "If the government clearly establishes guidelines related to AI in the legal field, the private sector is expected to grow rapidly."
Park Yoon-kyu, the 2nd Vice Minister of the Ministry of Science and ICT, has been visiting industry sites weekly by sector to discuss related issues for AI normalization. The first meeting was held under the theme of 'On-device AI,' and this meeting was conducted with the theme of legal tech.
CEO Lee said, "In the legal field, work is still done in the way it was 30 years ago, so everyone may have different thoughts about the future involving AI technology," adding, "There may also be distrust and anxiety arising from ignorance, and it is necessary to supplement which areas companies can safely enter." He mentioned major issues requiring government intervention, such as personal information issues, the Attorney-at-Law Act, and copyright law issues.
There was also discussion about the need for support measures regarding the use of materials and costs involved in building databases used in legal tech. Min Myung-gi, CEO of Law&Good, said, "The core of search-augmented generation (RAG) technology used in legal tech lies in how to build a large database, and for this, data embedding (converting natural language into vector form) is important," adding, "However, using tools or models for this incurs high costs, and companies have to go through trial and error in uncertain situations."
He continued, "Startups have limited funds, so the number of times they can afford to go through trial and error is limited," and added, "I think a lot of support is needed in collecting and utilizing databases."
From the perspective of the legal community using legal tech services, there was also discussion about expectations for AI applied in the legal field. Yang Jin-young, a lawyer at Minhoo Law Firm, said, "I heard that when a law firm used their own data, the accuracy was high," and added, "If AI is trained on data limited to each law firm rather than general-purpose AI, it seems sufficiently usable."
Byun Sang-ik, head of the AI Industry Division at the National IT Industry Promotion Agency, said, "Because the legal field has a significant impact on the public, if services acceptable to the public are created, positive perceptions of AI can spread," and added, "We will listen to companies' opinions and reflect them well in countermeasures."
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