Success stories • Oil & Gas
Mitigating risks and increasing operational control with LLM models
The power of generative AI enables this leading company for the energy industry to rely on intelligent assistants for bid and contract analysis.
About the client
Leading Argentine company in the provision of integral services for the energy industry. With an extensive track record, it specializes in the development of infrastructure projects, the management of operations and maintenance, and the implementation of advanced technological solutions. Its objective is to optimize processes and improve the operational efficiency of its clients in sectors such as oil, gas, electricity and renewable energies.
It stands out for its commitment to innovation and sustainability. It applies responsible practices and cutting-edge technologies to minimize environmental impact. It also invests in the development of human resources, promoting a culture of safety and excellence. Its reputation in the market is based on the quality of its services, the technical capacity of its team and its dedication to meet the needs of its customers.
Intelligence to detect and mitigate risks
Client’s need
• To allow legal collaborators to analyze information from RFPs (works or services) and generate a document with the identification of important items or sections and risks. In addition, the document should include mitigation recommendations.
• Previously, there was a spreadsheet for risk detection and classification.
Solution
• A solution was developed based on LLM models capable of interpreting the language and formatting used in the documents and identifying relevant information.
• The user interacts multiple times with the solution, uploading information from different cases to be evaluated.
• Through the use of LLMs, the extraction of relevant information is performed, as well as the identification of sections, pages, etc.:
– According to the files delivered, the information related to the important sections of the documents is identified, extracted and entered in a spreadsheet.
• Risk rating:
– Depending on the decision of the EC (executive committee).
– High (if defined metrics are in place).
– Medium (if defined metrics are in place).
– Low (if defined metrics are in place).
• Generation of remediation recommendations.
• Generation of deliverable documents.
Intelligent legal assistant to review contracts
Client’s need
• Allow legal collaborators to analyze contract information submitted by the client and generate a deliverable document. This helps to evidence compliance with best practices and policies of the legal area before signing, which implies greater control over such documents and lower risks.
– Sources to validate clauses or risks to consider.
– Documents to review:
• Checklist for specifications review with identification of risks and recommendations for remediation.
• Technical or commercial project proposal previously submitted.
• Other contracts.
Result: Document with identification of alerts (elements that do not match risks or previous model).
Solution
An LLM-based solution was developed capable of understanding the language used in the different documents (checklist for review of solicitation documents, contracts, bids submitted). It generates a result document with the evidence of compliance or missing (clauses, comments) with respect to the best practices of the legal area. Also, to parameters or premises defined in source documents such as, for example, a previously submitted proposal.
The user can:
• Download the document to request the adjustment of the respective contracts before they are signed by the client.
• Interact multiple times with the solution, uploading information from different contracts to be reviewed.
