Data Security and Legal Risk Prevention Platforms are systems that are focused on identifying potential data loss or legal risks in the day to day operations of a corporate or law firm, e.g. stopping the sending of emails to the wrong parties, or identifying potential legal risks within internal communications. In most cases these systems will be using some elements of NLP and machine learning technology.
The companies listed here are:
Core Product(s): A software system ‘Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning’ U.S. Pat. Nos. 9,552,548 and 9,760,850 (international application pending).
Main Technology: Deep Learning
Key Use Cases: Litigation risk detection/prediction for avoidance/prevention
HQ: Near Seattle WA, USA
Other Offices: None
Total Staff (approx.): 15
Year of Founding: 2015
Development Stage (e.g. Beta, fully operational): Operational
CEO (or equiv): Nelson E. (Nick) Brestoff
CTO (or equiv): Jagannath Rajagopal
Main external investors, if any: NA
Target Market: Legal Departments of Corporations and other Institutions
Main Legal Jurisdictions in which you currently operate: USA
Reference Clients: Confidential
Pricing Model(s): Confidential
Software Configuration (e.g. cloud; on-site installation): On-Site
Security Standards (e.g. ISO Cert, or other): Customer-specific
Intraspexion offers the first patented “litigation prevention” service for corporations and other Institutions.
Problem: It’s currently impossible for personnel in Legal Departments to access yesterday’s emails in order to identify the potential litigation risks. They are forced to manage the lawsuits as they come through the door.
Solution: Using AI’s Deep Learning technology, our software system scores yesterday’s emails, and then provides designated legal personnel with an early warning of the specific litigation risky emails they can’t see now.
That’s the game-changer. With those clues, they can decide which emails warrant an internal investigation. After that, they can properly assess and address the risk and so have an ability to avoid a potential lawsuit.
Prevention: It’s better to use a toothbrush than to be confronted with a dentist’s drill.
What is your core product’s key selling point? Intraspexion offers two key selling points: (1) our system avoids the potentially massive losses of productivity and financial resources in the event of litigation; and (2) we protect leadership, because our system, when operated in good faith, is evidence of a specific intent not to do harm, but instead to avoid it.
Main contact email: firstname.lastname@example.org
- Tessian Constructor allows enterprises to design and implement customised email security filters to control compliance and security on outbound email.
- Tessian Enforcer uses machine intelligence to automatically prevent employees sending highly sensitive data to personal or unauthorized email accounts.
- Tessian Guardian uses machine intelligence to automatically prevent highly sensitive emails being sent to the wrong recipients due to inadvertent human error.
Main Technology: Machine Learning, Natural Language Processing, and Network Theory
Key Use Cases: Outbound Email Security, Ethical Wall and Insider Compliance, Custom Email Filters, Data Loss Prevention
HQ: 3 Finsbury Avenue, London, UK.
Other Offices: N/A
Total Staff (approx.): 66
Year of Founding: 2013
Development Stage (e.g. Beta, fully operational): Fully Operational
CEO (or equiv): Tim Sadler
CTO (or equiv): Ed Bishop
Main external investors, if any: Accel Partners, Balderton Capital
Target Market : Legal, Financial, Healthcare, and Professional
Main Legal Jurisdictions in which you currently operate: UK, USA
Reference Clients: Travers Smith, Herbert Smith Freehills, Clyde & Co, Choate Hall & Stewart
Pricing Model(s): SAAS
Software Configuration: Tessian’s AWS Cloud, Dedicated Cloud, On-Premises Deployment,
Security Standards (e.g. ISO Cert, or other): Cyber Essentials and Cyber Essentials Plus and IASME. Also, ISO 27001.
Tessian is a machine intelligent email security platform that automatically prevents security threats like misaddressed emails, unauthorised emails and non-compliance. Tessian uses machine learning to understand normal email communication patterns in order to automatically identify email security threats in real time.
Unlike legacy rule-based technologies, Tessian requires no admin from security teams and no end-user behaviour change. The Tessian platform can be deployed in under an hour and provides immediate historical reports that show how many misaddressed emails an organisation has sent prior to the installation date.
Tessian makes email safe at some of the world’s largest enterprises across the financial, legal and technology sectors.
‘Tessian’s ability to prevent misaddressed emails using artificial intelligence is unrivalled in the market and it is now something we consider a crucial part of our firm’s cyber security strategy,’ Ann Smith, IT Director, Travers Smith
What is your core product’s key selling point?
Tessian uses machine intelligence to automatically prevent employees sending highly sensitive data to personal or unauthorized email accounts. Unlike traditional DLP solutions, Tessian requires no admin from security teams, no end-user behaviour change.
Main contact email: email@example.com
Twitter (or other social media): @tessian
[ Further companies will be added to this category. ]