Prosecution postponement agreement system
November 2020, 1Introduction to Discovery: Introduction
November 2020, 22020 Legal Tech Trends Seen from the Legalweek New York 2020 Venue
This time, we would like to inform you about the event in the US, Legal Week New York (LWNY). Continuing from last year, FRONTEO participated in the exhibition of our solutions and the demonstrations and business negotiations of solutions centered on KIBIT (document review tool using AI).
LWNY is an event hosted by ALM, which operates the law.com site for lawyers, and is a lawyer because many seminars are held to acquire the CLE (Continuing Legal Education) necessary to maintain the US lawyer qualification. It is one of the leading events in the United States that brings together service vendors for law firms, law firms, and corporate legal departments.
Last year, the big cold wave was slow during the period, and the exhibition was held while the city of New York issued a curfew, but this year it was a nice day instead. The weather was so blessed that the jinx that "LWNY is not blessed with the weather every year" was blown away, and the faces of people passing by on the road around the venue seemed to be loose.
The inside of the LWNY venue was also full of enthusiasm due to the cheerful outside, and the FRONTEO employees who have participated for several years in a row were excited to say, "The most exciting thing in the last few years."This is my second time to participate, following last year, but this year, each company exhibited quite specific solutions, which was impressive.
Among them, the solution that sings artificial intelligence (AI) attracted a lot of attention and was exhibited in a wide range of areas.In the field of contract management and smart contracts, in the field of e-Discovery, which is also our business domain, in addition to review solutions such as TAR (Technology Assisted Review) and CAL (Continuous Active Learning), AI is also used in initial case assessment (ESI). The singing solution has been exhibited, and I realized that AI is finally approaching the full-scale introduction period.
At our exhibition booth, there was no time to lose customers during the three-day period.After watching the explanation of KIBIT Automator displayed on the monitor of the exhibition booth, there were many scenes where people asked me "What do you guys do?" Yes, I felt a high degree of attention.
For demonstrations and business negotiations, we rented out the conference room of the hotel near the venue during the period and held individual business negotiations with more client companies than last year.
In order to let as many people as possible see our solution, Takeda, our CTO, and Okura, CEO of our US subsidiary, also visited the site and gave a passionate presentation with all sales and data scientists.In particular, lively questions were asked about the latest project results and specific effects of introducing KIBIT Automator in the United States, showing the seriousness of client companies regarding the introduction of AI.
In the United States, the “Demo it” culture is still very deep-rooted, and you can't deal with it at all in a business talk that is just a presentation.Therefore, when I explained the product demo while assuming a specific use case and the results on a performance basis, I strongly felt the enthusiasm and interest of the customers who were presenting. ..In addition, our AI KIBIT does not "replace" people such as lawyers, but can achieve higher quality and speed through the form of collaboration (Augment) between AI and people. I think that the concept was particularly sympathetic. (A technology manager from a US government agency also visited the exhibition booth after hearing about the quality and speed of KIBIT Automator!)
This LWNY was an opportunity to feel a great response to our FRONTEO solution.Based on this confidence, we will further build up our track record on a project basis, and in the future we will enter the phase of developing sales and delivery as a whole so that more people in the United States will recognize KIBIT Automator. I thinkAnd next year at LWNY, we aim to become a solution that everyone knows about KIBIT Automator.
At the end, it looks like a notice of KIBIT Automator, but I hope everyone can see it.Nice to meet you.
・ Click here for details on KIBIT Automator
https://legal.fronteo.com/products/kibit-automator/
・ Click here for the results of the KIBIT Automator demonstration experiment conducted in the United States.
https://www.fronteo.com/20191125
・ Click here for details on Legalweek New York
https://www.event.law.com/legalweek
[Glossary]
KIBIT Automator
Among the evidence disclosure (discovery) required in the trial procedure of US civil proceedings, AI developed for the purpose of improving the efficiency of document review work in electronic discovery (e-discovery), reducing the burden on workers, and reducing costs. The tool was released in March 2019.Applying the research method used in discovery, AI is used to examine and analyze large-capacity e-mails and electronic files that are evidence materials.In recent years, it is expected that companies will respond to the short-term information disclosure required.
TAR (Technology Assisted Review)
By letting software, computers, and AI learn "relevant documents", TAR judges "relevant / non-relevant" documents as evidence with faster and more stable quality than humans, and reviews documents. In recent years, it has been used more and more to help reduce the time and cost required for. FRONTEO uses KIBIT Automator, which uses the AI engine "KIBIT" developed in-house for TAR.
CAL (Continuous Active Learning)
A form of machine learning that requires teacher data, also known as TAR 2.0, is a computer-based review and coding process using search engines and relevance rankings.Continue learning teacher data until no relevant documents are found.
ESI (Electronically Stored Information)
Data stored electronically.In addition to spreadsheets and document files, it also includes database content, messages exchanged on mobile phones, voice mail, and more.