Data & Innovation • Oil & Gas • AWS
Intelligent legal assistant for contract and tender review
LLM-based solution that analyzes clauses, commercial conditions, and contracts, generating customized matrices with recommendations to ensure compliance with legal policies before signing.
About the client
An Argentine company with extensive experience in the energy and industrial sector, specialized in providing comprehensive services for the operation, maintenance, and development of critical infrastructure. Its activity spans engineering and construction to the operation of facilities in segments such as oil, gas, electricity, and mining.
With a focus on innovation, efficiency, and operational safety, it drives projects that combine technical expertise with cutting-edge technologies. Its commitment to quality, sustainability, and continuous improvement positions it as a key player in the transformation of the energy sector both nationally and regionally.
Needs
The company’s legal department needed a solution to automate the analysis of key legal documents—such as tenders, contracts, subcontracts, and technical or commercial proposals—to ensure that each complied with the internal policies and best practices defined by the legal team. This process, previously carried out manually, required extensive document review and risk assessment before signing significant contractual agreements.
Solution
Nubiral developed a Generative Artificial Intelligence (GenAI)-based solution capable of interpreting technical and legal language to assist in document analysis.
Through LLM models, the tool analyzes contracts, commercial conditions, prior proposals, and legal reports.
The solution generates a review matrix that identifies risks, provides recommendations, and verifies compliance with key clauses. Users can interact dynamically, upload multiple documents, and obtain personalized results based on parameters defined by the legal department.
Results
The solution streamlined the contract review process, increasing accuracy in detecting missing clauses or contractual risks. The legal team can automatically generate documents and analysis matrices tailored to each client or provider, carry out multiple iterations per case, and download reports with specific recommendations. This automation improves efficiency, reduces errors, and reinforces legal security in contracting processes.
