Bigle, the legal tech company specialising in legal operations automation, has announced the official launch of its discriminative artificial intelligence technology, a milestone which culminates an R&D project kicked off in 2023 together with Eurecat and funded by the Centre for Technological Development and Innovation (CDTI).
This innovation, already built into its Contract Lifecycle Management (CLM) platform, allows the legal departments of large corporations to automatically identify metadata and contractual clauses. This unlocks valuable information which until now had remained buried in unstructured contracts, converting this difficult-to-exploit data into structured assets which are accessible to and usable by companies.
Bigle’s AI, called Libra, has been jointly developed by a team of lawyers and technologists in conjunction with Eurecat experts and features discriminative AI capabilities to interpret and identify key metadata and entities within contracts at the click of a button, streamlining and adding strategic value to tasks such as clause extraction, legal classification and risk assessment. Following the launch of the Bigle Libra legal generative AI assistant in 2024, the legal tech firm is rounding off its discriminative AI project by embedding it in the CLM platform.
Unlike general solutions, Bigle’s discriminative AI has been designed specifically for application in legal settings. Its development has been partnered by Eurecat, a leader in technological innovation for industry, and made possible by financial backing from the CDTI (Centre for Technological Development and Innovation) with a €400,000 grant under its business innovation support programme.
One of the outstanding aspects of this innovation is its specific focus on Spanish, one of the most widely spoken languages in the world yet underrepresented in discriminative AI developments so far. While English has well-established linguistic corpora, Spanish had significant shortcomings in terms of resources and training. Bigle has raised the state of the art in entity detection for Spanish, developing a model trained with its own criteria that outperforms the recognised scientific standards in this field.
Although English has been part of the process, it has been in Spanish where unprecedented accuracy metrics have been achieved, attaining performance that is clearly different from other technologies from English-speaking countries. This initiative enhances Bigle’s commitment to building solutions tailored to the language needs of legal departments in Spain and Latin America.
“The launch of this AI is the outcome of months of joint efforts between our development and legal teams working side by side with the Eurecat team,” explains Daniel Tomás Bartomeus, CTO and co-founder of Bigle. “We have built precision technology which meets the most demanding security standards and has a deep understanding of legal language which is integrated with a cutting-edge CLM, making it a standout tool in the market.”
Real transformation for corporate legal teams
Bigle’s goal with this new functionality is to fast-track real digital transformation for legal departments. They note that combining generative and discriminative AI enables legal teams to cut down on the time spent on manual document lifecycle management tasks, quickly access critical information and enhance their department’s positioning as a key area in business performance.
Alejandro Esteve de Miguel, CEO and co-founder of Bigle, sees the launch as a step forward in the company’s long-term vision: “at Bigle we are committed to innovation with purpose and we have worked for a decade to become a complete legal tech suite.” He adds that this technological gamechanger bolsters its platform, as AI is not a future promise: “it is already making our clients’ legal operations more efficient and we seek to lead this transformation based on experience, knowledge and closeness to them.”
Bigle’s solution is thus a key tool for large corporations looking to scale their legal operations, minimise contractual risks and retain control over increasingly complex and multilateral processes. The AI model is already available in the platform, integrated into its clients’ usual workflows.
A public-private partnership for legal innovation
The discriminative AI project is part of Bigle’s technological expansion plan and has been undertaken in collaboration with Eurecat, a technology centre renowned for its provision of cutting-edge technologies to drive the competitiveness of numerous sectors, including artificial intelligence applied to complex areas such as the legal industry. Part funding from the CDTI, under the Ministry of Science, Innovation and Universities, has made it possible to expedite its development with advanced research standards.
The completion of this project enhances Bigle’s positioning as an international technology company committed to the ethical and transparent development of AI. Aligned with regulatory standards on privacy and data protection, the new functionality is tailored to the governance criteria required by legal and compliance departments.
Sergio Esteve de Miguel, co-CEO and co-founder of Bigle, points to the current situation in the legal tech sector: “the integration of artificial intelligence is gathering pace at an unprecedented rate and is already touching all sectors and technologies. This change is especially far-reaching in the legal field because it transforms not only the way people work but also how they understand risk, efficiency and decision-making. Drawing on this new AI model, Bigle seeks to ensure that this transformation happens with the utmost precision, securely and in line with the needs of legal departments.”
“This technological innovation will enable Bigle to fashion a differential value proposition and enhance its strategic positioning in a market that is growing strongly,” points out Roger Font, Director of Markets at Eurecat.
This new milestone confirms Bigle’s position as a CLM leader in Spain and Southern Europe with an international footprint in markets including the United States, Mexico, Chile, Colombia, Panama and Argentina.
