Today, Onit kicked off its next phase of AI innovation at Legalweek(year) with the announcement of InvoiceAI, an AI-enabled legal invoice review offering for enterprise legal management. The offering, which will launch in May for both Onit and SimpleLegal, uses AI to create greater efficiencies in invoice review and allows general counsel and in-house counsel to focus on what they do best for their companies.
AI for legal invoice review speaks to Onit’s founding principle: Help lawyers practice law more effectively. InvoiceAI eliminates tasks that aren’t related to practicing law – in this case, removing invoice review friction by relying on AI.
Onit leadership served as pioneers for legal e-billing, championing the Legal Electronic Data Exchange Standard (LEDES), the Uniform Task-Based Management System (UTBMS) and more. Now, that experience is taking legal invoice review to the next level with AI.
If you’re interested in learning more about Onit’s AI for legal invoice review, please speak with your account manager or email [email protected].
AI Innovation from Onit
When it launches in May, InvoiceAI will join three other AI offerings from Onit:
- Precedent, Onit’s AI-powered business intelligence platform that automates and improves both legal and business processes for corporate legal departments, law firms, contract professionals, and procurement teams
- ReviewAI, contract AI for pre-signature contract review that quickly and accurately reviews, redlines and edits all types of contracts in minutes.
- ExtractAI, contract AI for post-signature contract management that extracts usable data from executed, legacy and third-party paper contracts.
You can schedule a demonstration of these three solutions by visiting this page.
If you’re attending Legalweek(year), you can also join us for demonstrations of Onit’s contract lifecycle management and enterprise legal management products as well as our business process automation platform Apptitude and business intelligence platform Precedent. Email [email protected] to schedule a demo during the event.