How Kim Fits into the Mix
ILTACON 2024 kicks off today and brings together the brightest minds in legal technology to explore the latest advancements in legal technology, and this year's agenda is packed with sessions on artificial intelligence (AI) decision-making, identifying AI use cases and AI-powered business development. There is also a strong focus on the impact of AI on information governance and the use of large language models (LLMs).
Kim and AI
Since its launch in 2013, Kim has been at the forefront of no-code and generative technologies, developing web-enabled, deterministic applications that address real-world problems without false positives. [Link to patents here].
Kim is not just an addition to a law firm or legal team's tech stack; it is a transformative force. In the context of generative AI, Kim represents a 'no-lose' decision. Tactically, Kim's applications solve real-world problems related to data capture, data management, and document automation. Strategically, Kim's deterministic nature, which avoids hallucinations and ensures certainty, makes it an essential component of any law firm's future AI tech stack.
Real-World Problem Solving with Kim
Kim's technology is designed to address practical challenges law firms face today. Its applications are built to capture data accurately, manage it effectively, and automate document-related processes. This capability is particularly relevant in the legal industry, where precision and reliability are paramount.
Key features of Kim include:
Understanding Kim's DNA
Kim stands for Knowledge, Intelligence, and Meaning. While knowledge is widely available, it does not inherently provide intelligence. For intelligence, context is essential, and this is where Kim excels. Kim delivers context—your organization's context—without the need to learn a vast corpus of data.
At the heart of Kim's technology lies a neural net, a computational model inspired by the human brain's structure and functioning. Instead of attempting to learn from a vast corpus of information, Kim automates solutions using directive knowledge that can be adapted to specific needs.
For example, consider the onboarding checklist HR uses when new employees join a firm. The business requirements—such as name, address, and role—are variable fields in the checklist. This principle applies to any letter, form, compliance record, checklist, or contract where the requirements are embedded within the document itself.
We encourage you to explore our detailed White Paper to understand how Kim fits into the generative AI landscape.
To get a comprehensive view of how Kim leverages data to drive automation and efficiency, look at this Kim Infographic.