Kira Systems
Contract analysis using machine learning
Overview | |
| Status | Active |
| Category | Document Automation |
| Headquarters | Toronto, ON, Canada |
| Founded | 2015 |
| Tags | document automation, machine learning, contracts |
| Target Market | Companies |
| Business Model | Legal Tech |
| Website | https://kirasystems.com/ |
| Social |  Facebook |
Related companies
Legal Gateway
Empower your Legal Function to deliver more for less. Legal Gateway is the world's first Legal Operating System, giving in-house legal teams the tools they need to deliver faster, better and more cost-effective legal support. By linking sophisticated automation, custom workflows, integrated eSignatures and end-to-end contract lifecycle management, Legal Gateway scales legal expertise across the entire enterprise.
e-signature, negotiation, analytics, contract management, risk management, legal operations, general counsel, document automation, matter managementEigen Technologies
Eigen is a research-led artificial intelligence company based in London and New York. Our mission is to help individuals and organizations make the right decisions, and we do this by unlocking the value of their qualitative data. Eigen automates the extraction and classification of information from documents. Our simple, flexible Natural Language Processing (NLP) technology accurately extracts information from diverse types of documents at scale and can be integrated into our clients’ workflows. We use state-of-the-art machine learning algorithms to recognize patterns in text and give accurate answers to unique questions. This enables our clients to use data in new ways to make the right business decisions: driving down costs, finding opportunities, calculating risks, and meeting regulatory requirements. Founded in 2014, our clients include some of the most respected names in finance, law, and professional services. As a research-led company, we translate the latest methodologies from applied physics, mathematics and machine learning into the technology that underpins our product.
contracts, machine learning, document automationPrifina
Prifina is building tools that empower individuals to get superior value from their data; and user-centric data tools for developers.
artificial intelligence, big data, blockchain, developer apis, legal tech, machine learning, open source, privacy, software, wealth managementDe Jure
De Jure's NLP-powered legal semantic search engine makes efficient use of artificial intelligence. It reads and analyzes the court decisions in Turkey. De Jure is initially designed for use in Turkey but has concrete plans to serve abroad. Users can search for legal concepts, ask questions, write a legal statement by using the search bar of the platform. De Jure provides the users with the explanations as to the legal concepts, answers to their questions as per the court decisions. It helps lawyers and legal professionals to understand the precedent for an issue faster and more thoroughly.
machine learning, data analysis, natural language processing, artificial intelligenceBeagle.ai
Finding the detail in a contract need not be painful, costly or time consuming. Understanding your contract minimizes business risk and provides exceptional efficiencies. Beagle™ sniffs out the fine print, so you don’t have to.™ Beagle is a productivity tool that analyzes contracts and presents key information in a clear and interactive way. Through highly sophisticated machine learning and artificial intelligence (AI) methods, Beagle can read a contract and within seconds highlight what you need to know. The responsibilities, liabilities, how to terminate, and more! Our market on ramp is SME's, 50 employees and less. Finance executives and senior leaders will be targeted. Reading contracts is not their core responsibility, but they are often tasked with it because they are the end decision makers. It takes time and resources to understand these contracts. Beagle provides an excellent return on time (ROT), at a negligible lost opportunity cost (LOC).
document automation, machine learning