Fieldbox enhances multilingual contract comparison with advanced AI technologies

In the dynamic and globally interconnected energy sector, working with international partners often involves managing legal documentation in various languages and formats.

The challenge

 

An energy company, collaborating with numerous partners, faces the significant challenge of dealing with contracts that not only contain sensitive information but are also written in different languages. This diversity complicates the process of extracting and comparing specific contractual terms and understanding how different partners address similar subjects.

 

Fieldbox proposition

 

To address these complexities, Fieldbox has implemented a sophisticated AI-driven solution:

Multilingual Large Language Models (LLMs): the company employs two specific LLMs designed for multilingual support.
One model is responsible for translating contracts between the local language and English, and vice versa, ensuring all team members can work with the contracts in a unified language.

Question-answering LLM enhanced by Retrieval-Augmented Generation (RAG): another LLM is utilized to answer questions about the content of the English-language contracts, with RAG technology enhancing the model’s ability to anchor responses in specific text passages.

 

Results and benefits


Several challenges were addressed during the implementation:

  • Model selection: finding the right LLMs that can accurately handle the specific languages and complex legal terminology involved.
  • Integration and confidentiality: ensuring that the models operate seamlessly on private infrastructure to maintain data confidentiality and compliance.

The solution delivered by Fieldbox resulted in a highly scalable and secure cloud infrastructure:

  • Streamlined contract review processes
    The ability to quickly translate and query contracts has dramatically simplified the review process, allowing for more efficient comparisons across different documents.
  • Enhanced decision-making
    With easier access to homogenized contract information, decision-makers can better understand partnership terms and make informed choices.

These key success factors made this project effective: 

  • Secure data handling: maintaining all operations on-premise ensures that sensitive contractual data is handled securely, adhering to industry standards and regulations.
  • Effective change management: continuous support and training for users to fully adapt to and leverage the new AI tools.

By strategically integrating AI technologies, Fieldbox has redefined the management and analysis of multilingual contracts. This use case highlights the profound impact that innovative digital transformation strategies can have, not only in enhancing operational workflows but also in refining the quality of strategic decisions within the energy sector.