Project description
AI for error-free legal documents
Legal documentation is essential for every activity in the public and private spheres and any failure in proper management results in damages. IT systems were proposed as the solution for appropriate and reliable management of legal documents, yet three quarters of institutions still file legal documentation manually. This is tedious, costly and does not exclude human error. The EU-funded BigleLegal project proposes a future version of Bigle Legal software that can create and manage error-free legal documents through a robust document automation platform. The system is based on innovative techniques of natural language processing and AI application to detect the appropriate documents. It is also fast and low cost.
Objective
Legal systems are critical for a prosper society. From individual to governmental levels, we all are involved in these systems and must deal with a series of legal documents to interact with our administrations, companies and other individuals. Legal documentation can make the difference between a perfectly operative entity and a massive failure. Since the late 90s, IT systems aimed at efficiently manage legal documentation, but they are incapable of satisfying the needs of the modern society. Indeed, up to 75% of entities still elaborate their legal documents manually, which involves several problems: (1) Massive amounts of work hours (around 120 minutes per document); (2) High costs (near €54 per document); (3) Human errors due to the inherent need for human intervention. BIGLE IBERIA S.L. co-founders have realized about this problem and have launched the company in 2016, developing a first version of Bigle Legal Software. Now the company has 18 high-skilled professionals in the legal and technology sector and it is working in the future version of Bigle Legal, which based on advanced techniques of Natural Language Processing (NLP) automates most of the work involved in creating and managing legal documents and applying Artificial intelligence (AI) understands what the document is and what the users want, leveraging much of the repetitive work and leaving them customize the resulting document to match their specific needs. The target users will be initially Law firms, Real Estate companies and Notaries and in future stages it will be extended to in-house legal departments and individual lawyers. BIGLE IBERIA is very well known in the Real Estate and Legal sectors, having engaged relevant clients with worldwide presence. Using Bigle Legal, they will be able to complete a legal document in 10 minutes at a cost of €5 which, for a medium-sized firm it would represent 11,000 man hours and ~€295,000 savings/ year.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences software
- natural sciences computer and information sciences data science natural language processing
- social sciences sociology industrial relations automation
- social sciences law
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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.
08015 BARCELONA
Spain
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.