Onit ReviewAI System
(Redirected from Onit ReviewAI)
Jump to navigation
Jump to search
An Onit ReviewAI System is a contract management system that is an Onit Product which is a legal technology platform that automates the contract review process.
- Context:
- Example(s):
- AuthorDocs [1]
- ...
- Counter-Example(s):
- See: Legal Technology, Artificial Intelligence, Document Review, LegalOn Contract Review System, Contract Analytics, Legal Automation, Contract Review, General AI System, Consumer Review Platform.
References
2023a
- (GM-RKB ChatGPT, 2023) ⇒ Summarize the concept Onit ReviewAI System in 1- 2 paragraphs, promt.GM-RKB ChatGPT (model: gpt-4-1106-preview) Retrieved: 2023-12-24.
- QUOTE: The Onit ReviewAI system is an advanced contract review technology that utilizes artificial intelligence (AI) to streamline the process of reviewing and managing legal contracts. Designed to assist lawyers, legal departments, and contract professionals, ReviewAI significantly reduces the time and effort required to analyze contracts by automatically extracting key terms, provisions, and obligations.
By leveraging machine learning algorithms, ReviewAI can understand the context and semantics within a contract, allowing it to perform tasks such as clause identification, comparison to standard templates, and risk assessment. It aids users in contract negotiation by highlighting areas of concern and suggesting potential revisions based on predefined company standards and best practices. This system improves accuracy, efficiency, and productivity in contract management processes, ultimately saving time and reducing the errors associated with manual contract review.
- QUOTE: The Onit ReviewAI system is an advanced contract review technology that utilizes artificial intelligence (AI) to streamline the process of reviewing and managing legal contracts. Designed to assist lawyers, legal departments, and contract professionals, ReviewAI significantly reduces the time and effort required to analyze contracts by automatically extracting key terms, provisions, and obligations.
2023b
- (LinkedIn, 2023) ⇒ https://linkedin.com/products/onit-reviewai/
- QUOTE: Onit’s ReviewAI software uses artificial intelligence (AI) to quickly and accurately draft, review, redline, and edit all types of contracts in minutes. Non-legal business users can now automatically receive a reviewed, redlined, and approved contract via email or self-service portal in less than 2 minutes. For more hands-on functionality, the ReviewAI Word Add-in designed for lawyers and contract professionals automatically drafts, reviews, redlines, and edits contracts against corporate standards. The AI skillset quickly learns based on user feedback and is easily customizable so that it can be applied to many different use cases including NDAs, MSAs, purchase agreements, and third-party contract review. When paired with a contract lifecycle management system like Onit’s, organizations obtain an AI-driven workflow that automates the entire contract lifecycle from creation to execution.
- This product is intended for: Contract Manager, General Counsel, Assistant General Counsel, Senior Contract Manager, Corporate Lawyer, In-House Counsel, Head of Legal Department, Corporate Legal Counsel, Director of Legal Operations, Head of Legal Operations.
2023c
- (Brooke Luder) ⇒ http://www.brookeluder.com/portfolio-items/authordocs/
- QUOTE: authorDOCS is part of the author product suite by software developer McCarthyFinch/Onit. It’s an advanced legal AI Word Add-in that reads, writes and reasons like a lawyer.
- Industry: Legal Software Development
- Product team: Myself on UX/UI + Graphic Design, 1 x Legal Tech, 1 x Product Owner, 1x Product Designer
- authorDOCS is a Microsoft Word Add-in that was developed to assist lawyers with reading legal contracts. Allowing lawyers to quickly and efficiently identify key commercial issues, search for clauses and legal details and easily draft from their Clause Library.
- Over the course of the app’s development, I was responsible in tandem with our product team for identifying key user concerns, workflows, and personas. I was also responsible for wireframing, prototyping, user testing, and taking the app to the final product. Inclusive of this was the development of a full support portal with documentation and user tutorials