How We Started

FinLLM emerged from a growing frustration with generic language models in high-stakes finance. While LLMs like ChatGPT offer general knowledge, they often hallucinate, lack regulatory grounding, and misinterpret financial jargon. We set out to solve this — by building an LLM specifically trained on financial documents, legal contracts, and regulatory guidance.

Our goal was to create an expert system that understands the nuance of financial language, flags contractual risk accurately, and empowers professionals to ask complex questions with confidence.

Project Process

Research & Domain Curation

We curated a high-quality dataset of legal contracts (ISDA, CSA, credit agreements), regulatory filings (Basel, MiFID, Dodd-Frank), and financial textbooks. Our annotation pipeline focused on clause-level risk mapping, scenario modeling, and mitigation tagging — creating a gold standard corpus for supervised fine-tuning.

Model Design & Training

Built on top of a transformer LLM backbone, FinLLM was fine-tuned using reinforcement learning with human feedback (RLHF), contrastive risk learning, and prompt-cotuning techniques. The model was benchmarked against financial QA datasets and hallucination-reduction baselines.

Interface & Deployment

The final product is a secure, enterprise-ready chat interface that supports multi-format document upload, clause tagging, summarization, and real-time Q&A. It integrates seamlessly with document management systems and supports audit logs for compliance.

Key Features

Contract Upload & Parsing

Handles financial contracts, loan agreements, and term sheets with clause segmentation.

Risk Identification & Classification

Detects risk types like early termination, collateral thresholds, margin calls, and cross-defaults.

Mitigation Strategy Generation

Suggests remedies based on Basel III, IFRS 9, and internal risk frameworks.

Interactive Q&A Interface

Supports both clause-specific and general finance queries with real-time summarization.

Secure & Audit-Ready

Built with compliance in mind — includes access logs, version tracking, and permissioned access.

Conclusion

FinLLM redefines financial contract analysis by replacing generic AI with specialized intelligence. Whether you're parsing legalese, identifying exposure, or seeking mitigation strategies, FinLLM delivers actionable insights with the rigor that high-finance demands.