Fully Automated AI Workflow for e-Discovery
First written in FY2019. 10 of 14 entries say "Advanced", first in FY2020-Q1. Latest entry: 2026-08-26.
No other company in this theme has enough history to compare yet.
- 2026-08-26AdvancedOther Disclosures
「Lawyers conducting investigations can now access KAM themselves and perform searches and scoring.」
KIBIT Automator moved beyond an operating model based on specialist operators by adding functions that allow investigating lawyers to conduct searches and scoring themselves, making AI-based automation of e-discovery and fraud-investigation processes concrete. - FY2025SoftenedAnnual report
「Going forward, as Japan's leading LegalTech company, … we will continue to operate the business steadily, focusing on domestic digital forensics investigations and e-discovery support services targeting the Japanese and South Korean markets.」
The policy of using and automating AI in e-discovery will continue, but following the withdrawal from the U.S. business, the target regions have been narrowed primarily to Japan and South Korea. - FY2024-Q1RestatedAnnual report
「By concentrating sales efforts on winning engagements through KIBIT Automator and promoting a portfolio transformation that shifts the revenue mix from one centered on conventional businesses to one centered on engagements using the AI review tool KIBIT Automator」
The company continued to indicate its policy of shifting the portfolio toward high-margin engagements centered on KIBIT Automator. However, orders for large engagements were sluggish in the quarter. - FY2023RestatedAnnual report
「By concentrating sales efforts on winning engagements through KIBIT Automator and promoting a portfolio transformation that shifts the revenue mix from one centered on conventional businesses to one centered on engagements using the AI review tool KIBIT Automator」
The company continued to indicate its policy of shifting the portfolio toward high-margin engagements centered on KIBIT Automator. - FY2022-Q3AdvancedAnnual report
「We deployed in actual engagements a function that connects KIBIT Automator directly to the target company's environment and transfers data, rather than limiting the operating environment to our own.」
Regarding the use and automation of AI in the e-discovery workflow, the company deployed in actual engagements a function that connects KIBIT Automator directly to clients' environments, broadening the scope of projects it can support. - FY2022-Q2AdvancedAnnual report
「The portfolio transformation from a business centered on labor-intensive conventional operations to one centered on engagements expected to generate high profit margins through use of the AI review tool KIBIT Automator is producing results and contributing to higher profit.」
Regarding the use and automation of AI in e-discovery, the effects of the portfolio shift toward high-margin engagements using KIBIT Automator emerged in the form of higher profit. - FY2022-Q1AdvancedAnnual report
「Revenue in the LegalTech AI business increased significantly as we won several large engagements globally. Portfolio transformation is also steadily progressing, shifting the business from one centered on conventional operations to one centered on engagements expected to generate high profit margins through use of the AI review tool KIBIT Automator.」
Regarding the use and automation of AI in the e-discovery workflow, the portfolio shift toward high-margin engagements using KIBIT Automator progressed steadily and also led to the acquisition of several large global engagements. - FY2021AdvancedAnnual report
「Over the medium to long term, we will concentrate our sales efforts on winning engagements through KIBIT Automator and promote a portfolio transformation that shifts the revenue mix from one centered on conventional businesses to one centered on engagements using the AI review tool KIBIT Automator.」
The company clearly identified as its medium- to long-term policy a shift toward a revenue mix centered on KIBIT Automator engagements, in connection with the use and automation of AI throughout the e-discovery workflow. - FY2021-Q1AdvancedAnnual report
「During the first quarter, our efforts to market the tool through proposal-based sales enabled us to steadily accumulate orders for reviews using the tool, particularly in the United States.」
Toward full automation of the e-discovery review workflow, the company advanced proposal-based sales of KIBIT Automator and accumulated review orders, particularly in the United States. - FY2020AdvancedAnnual report
「We have set the full automation of the e-discovery review workflow as our ultimate goal and are pursuing research and development, including improving the accuracy of KIBIT Automator. We aim eventually to achieve processing of 1,000 documents per hour using the tool. During the fiscal year, we achieved 430 documents per hour, compared with approximately 60 documents per hour when reviewed by humans alone.」
Against the full-automation target, KIBIT Automator achieved a processing speed of 430 documents per hour, and a future target of 1,000 documents per hour was set. - FY2020-Q3AdvancedAnnual report
「We have been promoting proposals for document review using KIBIT Automator, an AI review tool released in March 2019, by quickly responding to these changes in the market environment. During the third quarter, we won a large domestic project using the product.」
The company won a large domestic engagement involving document review using KIBIT Automator, as part of its use of AI and automation in the e-discovery workflow. - FY2020-Q2AdvancedAnnual report
「In U.S. proof-of-concept trials, it was confirmed that review speeds were more than twice as fast as with existing review tools, on a company-to-company comparison basis. Collaboration with major law firms is also accelerating.」
Regarding the automation and efficiency gains in the e-discovery workflow through KIBIT Automator, the company confirmed review speeds in the United States more than twice those of existing tools. - FY2020-Q1AdvancedAnnual report
「There have been cases in which AI-only review determined that more than half of the documents that would previously have required full review did not require human review, while reviewers only needed to check the remaining documents to maintain quality equivalent to the previous level. These results demonstrate a degree of progress.」
Toward full automation of the e-discovery workflow, the company disclosed cases in which more than half of the documents subject to review could be processed by KIBIT Automator using AI alone. - FY2019First statedAnnual report
「Against this backdrop, we are pursuing research and development with the ultimate goal of fully automating the e-discovery workflow as a key technology initiative. During the fiscal year, we released KIBIT Automator in March 2019, a tool that uses the artificial intelligence KIBIT to reduce the time required for document review, the most labor-intensive stage of e-discovery, to half the previous level.」
For the first time, the company explicitly stated that its ultimate goal was full AI automation of the entire e-discovery workflow, and released KIBIT Automator in March 2019, reducing document review time to half the previous level.