Ebrevia

Brevia is now a subsidiary of Donnelley Financial Solutions (DFIN), a leading global risk and compliance solutions company. Brevia ’s cutting-edge contract analytics is a key part of DFIN’s robust ecosystem that provides domain expertise, enterprise software and data analytics in every stage of business and investment lifecycles. Brevia ( eBrevia.com) is a fast-growing subsidiary of.

Brevia allows attorneys to select key provisions for. Creating a Custom Annotation Field allows you to tag and.

Brevia quickly highlights the most important MA deal. BakerHostetler, a national law firm, QuisLex, a leading. Brevia cofounder and CTO Jacob Mundt explores the benefits.

Take contract review to the next level. Use our industry-leading artificial intelligence to extract data from documents, bring unprecedented accuracy and speed to contract analysis, due diligence and lease abstraction. Other panelists included Huu Nguyen from Squire Patton. Brevia users can access contracts and contractual information anytime, anywhere, from a secure digital repository in the cloud or by leveraging eBrevia ’s on-premise solution.

The remarkable and game-changing aspect of eBrevia ’s technology is that it searches for concepts rather than just keywords, and then extracts the relevant concept no matter where it is located in the document and regardless of.

Brevia ’s contract analytics software reduces the time and costs of reviewing agreements for critical deal points in any type of MA transaction. The software is pre-trained to extract key provisions in deal documents and quickly highlights the most important points for a quicker and more accurate review. You can also leverage eBrevia ’s AI to build your own internal deal point studies. Artificial Lawyer recently caught up with Ned Gannon, CEO and co-founder of AI-driven document review company, eBrevia. We discussed how the company got started and how its part in the growing market for legal AI is evolving.

Ned Gannon begins by saying that he was a corporate lawyer before helping to found US-based AI company eBrevia. At least more accurate than manual review alone. Minimize the risk of missing key data due to inexperienced or time-pressured reviewers.

Maintaining the security of clients’ legal documents is a central design goal of the eBrevia system. All documents are protected in transit between clients and eBrevia ’s servers using industry standard Secure Sockets Layer (SSL) 2bit end-to-end encryption. To protect documents while stored in the clou eBrevia uses only top-tier service. Today, supervised learning models are used across industries, like real estate, legal and finance, to optimize many tasks, including contract analytics, document classification and due diligence — this is how and why DFIN’s contract analytics solution, eBrevia , was designed.

The eBrevia Contract Analyzer assists organizations of all sizes in storing, retrieving, and analyzing their contracts. The software simplifies contract management, saving your organization time and money, and helping you get the most out of your contracts. Organizations without easy access to the information contained within their legal contracts risk non-compliance.

The current provisions and capabilities include: LIBOR.

The eBrevia API allows you to access general account information and intelligent analytics programmatically. LIBOR is defined in the agreement. You can access the URL endpoints in a browser or via any HTTP client.

An introduction to how eBrevia works. Our products, which leverage artificial intelligence research from Columbia University, are used by law firms and corporate legal departments to more efficiently, accurately, and cost effectively extract and summarize key provisions from legal documents. Brevia Inc The company has created software that helps law firms or legal departments at corporations partially automate document review during the merger and acquisition process.

Brevia Co-founder Adam Nguyen Speaks at American Bar Association’s Artificial Intelligence and Robotics Institute. The API has an open schema model, it ignores any extra query parameters, and may add extra properties to responses in future releases.