Project description
Smart computers speed up justice by analysing court rulings
Artificial intelligence (AI) is being integrated into all aspects of life. The rule of law is one of them. There is an increasing demand for automation in legal analytics for decision-making to save time in legal research. With this in mind, the EU-funded AILAS project is developing the first European platform that uses the power of big data to calculate probabilities of justice dispute resolution. It’s based on algorithms that can analyse all court decisions to save time in legal research. Specifically, this new device can read more than 4 million court decisions per second. Coordinated by the French Predictice company, the device is marketed to legal professionals. A feasibility study is being conducted in Italy.
Objective
Predictice is the first European platform that uses the power of big data to calculate probabilities of justice dispute resolution. This decision support tool for legal professionals is based on complex algorithms which analyse all court decisions in order to save time in legal research and quality of legal advice.
Our unique technology is built on natural language comprehension algorithms. After more than 2 years of R&D, the Predictice team is the most advanced on the topic of predictive justice in Europe, which has allowed us to win many prizes and awards. Today our device reads more than 4 million fully court decisions per second, with a reliability rate of 96%, all subjects combined. Already 400 legal professionals use this paid software: insurers, such as Axa, Allianz and Covéa; international law firms, such as Dentons and Taylor Wessing, but also small size law firms of individual lawyer; or even French courts of appeal.
We targeted to establish ourselves in the promising European market thanks to our strong technological advance and easy to use solution. We are appealing to the European Commission to help us fund a feasibility study on a first European country we have selected: Italy. This choice is logically imposed by the opening and the potential of its market and the available amount of data of local justice decisions thanks to our international partner distributor and data provider Wolters Kluwer present in this country.
Founded in January 2016 by a complementary team of international lawyers and engineers, Predictice now has 14 employees including a robust technical team of 7 developers (including an Italian CTO). The power and reliability of our international partner allows us access to data not available in open data and to a considerable sales force. Following this approach and the implementation of our solution across the European market, we expect to reach a team of 35 persons and an ambitious turnover of 3,7M€ by 2022.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science big data
- social sciences sociology industrial relations automation
- social sciences economics and business business and management business models
- social sciences law international law
- social sciences psychology psycholinguistics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
92200 NEUILLY SUR SEINE
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.