Content Assessment: Analyzing CJK Languages in eDiscovery? An Update on KIBIT AI from FRONTEO

Information - 92%
Insight - 93%
Relevance - 91%
Objectivity - 89%
Authority - 92%

91%

Excellent

A short percentage-based assessment of the qualitative benefit of the recent white paper by FRONTEO on its KIBIT Automator offering.

Editor’s Note: From time to time, ComplexDiscovery highlights publicly available or privately purchasable announcements, content updates, and research from cyber, data, and legal discovery providers, research organizations, and ComplexDiscovery community members. While ComplexDiscovery regularly highlights this information, it does not assume any responsibility for content assertions.

Contact us today to submit recommendations for consideration and inclusion in ComplexDiscovery’s data and legal discovery-centric service, product, or research announcements.


Background Note: In the rapidly evolving world of legal technology, one name that has been making waves is FRONTEO, a Japan-headquartered global technology organization. For nearly two decades, FRONTEO has been at the forefront of integrating artificial intelligence (AI) into business and legal operations. Their flagship product, the KIBIT AI engine, has been a game-changer in the field, especially in the realm of electronic discovery (eDiscovery).

The KIBIT AI engine, in use by a multitude of large corporate and law firm clients since 2012, has undergone multiple significant upgrades in recent years. The engine is designed to handle the complexities of Chinese, Japanese, and Korean (CJK) languages, making it an invaluable tool for APAC clients. As cross-border litigation becomes increasingly common, the ability to effectively navigate the nuances of these languages is a critical advantage.

One of the key highlights of the KIBIT AI engine is its predictive capabilities. The engine can estimate the number of documents required for review before the review process even begins. This feature is a boon for legal operations teams, enabling them to accurately gauge the extent of their document review burden ahead of time. This not only saves time but also significantly reduces the headaches associated with litigation logistics planning.

The KIBIT AI engine also boasts an automatic sentence-highlighting feature. This new algorithm not only improves the document ranking process but can also score individual words within those documents and automatically highlight high-value sentences. This feature is particularly useful in identifying sentences that are most relevant to a particular subject matter, thereby streamlining the document review process.

To further assist with the Early Case Assessment and Review phases of the EDRM model, FRONTEO has introduced several features that help identify key concepts and words in document sets. Word weights show and visualize word distribution in the target data set, enabling attorneys to easily identify outlier words and concepts. The Keyword Suggestion feature enhances the searching process by enabling KIBIT to automatically suggest additional keywords relevant to a particular query or content type.

The importance of the KIBIT AI engine to cybersecurity, information governance, and legal discovery professionals in the eDiscovery ecosystem should not be underestimated. In the realm of compliance, AI can help organizations monitor their operations and identify potential regulatory issues by analyzing large volumes of data in real time. This ensures adherence to the latest regulations and avoids costly fines and penalties.

In the legal field, AI can assist lawyers by analyzing document collections subject to litigation and identifying relevant content within documents. This leads to a major positive bottom-line impact by saving attorney time and reducing the risk of errors. Moreover, AI’s ability to quickly structure unstructured data and visualize patterns can rapidly and efficiently complete internal investigations, especially when faced with regulatory pressure.

Finally, in business and economic intelligence, AI can analyze large datasets to identify trends and patterns, helping companies make informed decisions when it comes to supply chain management and stock ownership.

The KIBIT AI engine is a testament to FRONTEO’s commitment to accurate CJK data analysis. It relies on advanced NLP techniques to effectively identify and categorize words and phrases in multiple languages, including Chinese, Japanese, and Korean. The continuous support and updates to the engine’s machine learning algorithms ensure that they always deliver accurate results with minimum time investment. This commitment to accuracy and efficiency is what sets FRONTEO and its KIBIT AI engine apart in the world of legal technology.

Product Update and Development White Paper*

KIBIT Automator – Recent Updates and Future Developments

FRONTEO

Explore the latest advancements in legal technology with FRONTEO’s white paper on their flagship product, the KIBIT AI engine. This comprehensive document delves into the engine’s unique capabilities in handling complex language nuances, its predictive features, and its significant role in the eDiscovery ecosystem, particularly for cybersecurity, information governance, and legal discovery professionals.


Complete White Paper: KIBIT Automator – Recent Updates and Future Developments (PDF) – Mouseover to Scroll

June 2023 Whitepaper KIBIT Automator – FRONTEO

* Shared with permission.

Assisted by GAI and LLM Technologies

Additional Reading

Source: ComplexDiscovery

 

Have a Request?

If you have information or offering requests that you would like to ask us about, please let us know, and we will make our response to you a priority.

ComplexDiscovery OÜ is a highly recognized digital publication focused on providing detailed insights into the fields of cybersecurity, information governance, and eDiscovery. Based in Estonia, a hub for digital innovation, ComplexDiscovery OÜ upholds rigorous standards in journalistic integrity, delivering nuanced analyses of global trends, technology advancements, and the eDiscovery sector. The publication expertly connects intricate legal technology issues with the broader narrative of international business and current events, offering its readership invaluable insights for informed decision-making.

For the latest in law, technology, and business, visit ComplexDiscovery.com.

 

Generative Artificial Intelligence and Large Language Model Use

ComplexDiscovery OÜ recognizes the value of GAI and LLM tools in streamlining content creation processes and enhancing the overall quality of its research, writing, and editing efforts. To this end, ComplexDiscovery OÜ regularly employs GAI tools, including ChatGPT, Claude, DALL-E2, Grammarly, Midjourney, and Perplexity, to assist, augment, and accelerate the development and publication of both new and revised content in posts and pages published (initiated in late 2022).

ComplexDiscovery also provides a ChatGPT-powered AI article assistant for its users. This feature leverages LLM capabilities to generate relevant and valuable insights related to specific page and post content published on ComplexDiscovery.com. By offering this AI-driven service, ComplexDiscovery OÜ aims to create a more interactive and engaging experience for its users, while highlighting the importance of responsible and ethical use of GAI and LLM technologies.