[PIVOT Appearance] Why Isn't Legal AI Implementation Progressing? GVA TECH CEO Shun Yamamoto Thoroughly Explains the Key to Realizing Legal AX!
Shun Yamamoto, CEO of GVA TECH, appeared on the business video media 'PIVOT' to discuss the realities and challenges of implementing legal AI. He introduced 'OLGA AI Consulting' as a solution for practical generative AI application.
📋 Article Processing Timeline
- 📰 Published: April 8, 2026 at 18:50
- 🔍 Collected: April 8, 2026 at 10:32
- 🤖 AI Analyzed: April 20, 2026 at 20:04 (297h 32m after Collected)
GVA TECH Co., Ltd. (Headquarters: Shibuya-ku, Tokyo; CEO: Shun Yamamoto; hereinafter GVA TECH) announces that a video featuring CEO Shun Yamamoto on the business video media 'PIVOT' has been released.
In this video, aimed at legal department personnel of companies struggling with chronic labor shortages and barriers to AI introduction, we introduce specific procedures for raising the potential of generative AI to a usable level in the legal field, along with a demonstration of 'OLGA AI Consulting,' a consulting service provided by GVA TECH.
Video link: https://www.youtube.com/watch?v=pymz67a2v-A
■ Highlights of the Video
1. Why legal AI cannot be implemented
A deep dive into the current state of AI utilization by companies and the reasons why implementation is not progressing. We unravel the challenges to advance AI utilization, which tends to remain at the level of individual experimentation.
In this video, aimed at legal department personnel of companies struggling with chronic labor shortages and barriers to AI introduction, we introduce specific procedures for raising the potential of generative AI to a usable level in the legal field, along with a demonstration of 'OLGA AI Consulting,' a consulting service provided by GVA TECH.
Video link: https://www.youtube.com/watch?v=pymz67a2v-A
■ Highlights of the Video
1. Why legal AI cannot be implemented
A deep dive into the current state of AI utilization by companies and the reasons why implementation is not progressing. We unravel the challenges to advance AI utilization, which tends to remain at the level of individual experimentation.