LMA SMART CLAUSE ASSISTANT

An explainable desktop tool that reviews loan agreements against market practice, highlighting missing or risky clauses with page-level evidence, confidence scores, and human review.

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Inspiration

Loan agreements are long and complex documents.
Banks and lawyers still review them manually, which takes a lot of time and can lead to mistakes.

After speaking with bankers, I learned that the main problem is not only speed, but trust.
Reviewers must clearly explain what changed, why it matters, and where it appears in the document.

This inspired me to build a tool that focuses on clarity, evidence, and accountability, instead of a black-box AI.

What it does

LMA Smart Clause Assistant is a desktop-based prototype that helps review loan agreements.

It checks important clauses and compares them with common market practice inspired by LMA standards.
Instead of giving a simple yes/no result, it classifies clauses as:

  • Standard
  • Market-acceptable variation
  • Material deviation

For each finding, the tool shows:

  • Page numbers from the document
  • A clear WHY explanation
  • A confidence score
  • Human review (accept or reject)

The tool supports bankers and lawyers. It does not replace them.

How we built it

The project was built using a clear and transparent workflow:

  1. Upload a loan agreement PDF
  2. Extract text with page numbers
  3. Split text into clause groups
  4. Analyze clauses using rule-based and AI-assisted logic
  5. Generate a simple report for non-technical users

Every decision can be traced back to the original document text.

Challenges we ran into

  • No access to official LMA templates, so only public information was used
  • Avoiding false alerts, since many clause changes are normal in real deals
  • Making every decision explainable and evidence-based
  • Designing outputs that are easy for bankers to understand

Accomplishments that we're proud of

  • Built an explainable and audit-friendly prototype
  • Avoided black-box AI decisions
  • Added market-aware logic instead of rigid checks
  • Created a clear, judge-friendly report

What we learned

  • Transparency is more important than automation in finance
  • Human review is necessary to build trust
  • Market practice matters more than strict templates
  • Simple explanations lead to better tools

What's next for LMA Smart Clause Assistant

  • Add more clause families such as ESG and Events of Default
  • Improve market variation detection
  • Connect with real document sources (with permission)
  • Improve the desktop dashboard for professional use

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