Develop a highly interpretable high-order logic rule injection framework for automatic review of financial contracts

Automate compliance and enhance transparency in financial contracts with our advanced AI framework.

Empowering Financial Insights

We specialize in data collection, model fine-tuning, and framework development for financial contract review and compliance.

Documents are laid out on a surface, with the largest sheet displaying the text 'Petition to File for Bankruptcy'. Several forms and paperwork are visible underneath, suggesting a formal or legal context.

Data Collection

Compile comprehensive datasets of financial contracts, legal rules, and regulatory guidelines across various jurisdictions.

A close-up view of a financial document with printed figures and text, accompanied by a black pen resting on the paper. To the left, a digital calculator displays a number, suggesting it is used for calculations related to the document.

Model Fine-Tuning

Optimize GPT-4 for interpreting high-level logic rules in financial and legal contexts effectively.

A man wearing a suit sits at a desk, concentrating on the documents in front of him. The desk has a microphone, a telephone, and some papers. The background includes a wall with several sheets of paper posted on it and a door.

A clipboard with a blank payments checklist is placed on a marble surface next to an open laptop and a white pen. The setup appears to be organized for financial planning or administrative work.

Model Fine-Tuning

Fine-tuning GPT-4 enhances interpretation of financial and legal logic.

Two men dressed in formal black suits are shaking hands in an indoor setting with a dark curtain backdrop. The man on the left is holding a piece of paper, and both have a professional demeanor.

Framework Development

An explainable AI framework automates financial contract reviews for compliance.

Four men in business attire are engaged in a discussion around a table. One man appears to be explaining something while pointing at some documents in front of them. The others are listening attentively, and one holds a pen and a mobile device. The setting is a plain office environment.

Expected Outcomes

This research aims to demonstrate that fine-tuning GPT-4 within a high-level logic rule injection framework can significantly enhance the explainability and accuracy of automated financial contract review. The outcomes will contribute to a deeper understanding of how advanced AI models can be adapted for high-stakes, rule-based applications, improving efficiency and compliance in financial services. Additionally, the study will highlight the societal impact of AI in reducing legal risks, increasing transparency, and fostering trust in automated decision-making systems.