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Case Law Analytics

 
Case Law Analytics is a start-up project currently supported by INRIA, a French public research institute dedicated to digital technology that promotes scientific excellence in the service of technology transfer and society. INRIA employs 2,700 people in the fields of computer science and mathematics.

Contact Vendor

Company Name:
Case Law Analytics
Company Website:
http://caselawanalytics.com/index.html
Company LinkedIn:
https://www.linkedin.com/in/case-law-analytics-757922127/?ppe=1
Company Twitter:
https://twitter.com/ContactCLA
Company overview:

Our tools are available to companies (General Management, DAF, HRD), insurers and major players in the legal protection market , and law firms and accountants who have a clear interest in anticipating legal and litigation risks.

 

Case Law Analytics is a start-up project currently supported by INRIA, a French public research institute dedicated to digital technology that promotes scientific excellence in the service of technology transfer and society. INRIA employs 2,700 people in the fields of computer science and mathematics. INRIA is organized into "project teams" which bring together researchers with complementary skills around a focused scientific project. This model allows him to explore original ways with his industrial and academic partners. INRIA thus responds to the multidisciplinary and application challenges of the digital transition. 

The Case Law Analytics project is funded by INRIA and the Innovation Development Network - Pays de la Loire.

In addition, the founders won a call for tender from the public interest group of the Justice and Justice research mission on justice and digital. 

Solution(s):
HQ Location:
France
Year Founded:
2016
Private / Public:
private
Ideal prospect law department size:
25-100
Number of employees:
1-50
Key Geographical Presence:
Europe
Languages:
French
Solution(s):
  1. Case Law Analytics Quantification Tools (Specialty: Knowledge Management)

    Our mathematical quantification tools for legal and judicial risk are available in SaaS mode, on subscription basis. The subscribers access a secured page on which they fill in a form containing the main characteristics of their file. The mathematical model then calculates, For each possible amount, the likelihood that it will be made by a judge or advisor in the chosen court of appeal. Some statistics are also proposed, as well as references to similar cases in recent jurisprudence.