DocMitra – Your Deal Companion

Inspiration

We noticed that reviewing financial proposals is time-consuming and prone to errors. Teams spend hours checking clauses, evaluating risks, and comparing multiple documents. We wanted to create a tool that makes deal analysis faster, more accurate, and collaborative — something that feels like having an expert partner by your side.

What it does

DocMitra allows users to:

Upload one or multiple financial documents
Analyze features and clauses automatically
Run what-if scenarios to see potential outcomes
Compare multiple deals and benchmark against company standards
Highlight risks and missing clauses
Suggest negotiation strategies
Collaborate in real-time with team members and recipients

It also provides a risk assessment dashboard for an overall deal health view.

Example: Risk Score Calculation

We calculate a simple risk score for each document based on missing clauses and deal triggers:

$$ \text{Risk Score} = \frac{\text{Number of Missing Clauses} + \text{Number of High-Risk Triggers}}{\text{Total Clauses}} \times 100 $$

A higher score indicates a higher risk level.

How we built it

Frontend: React.js for a smooth, interactive interface
Backend: Node.js + Express for API handling
AI/ML Layer: NLP-based models for clause extraction, risk analysis, and suggestion generation
Real-time Collaboration: WebSockets to sync document edits among multiple users
Multi-Doc Analysis: Combined extracted data from multiple files for benchmarking and “what-if” simulations

We also used visualizations (heatmaps, charts) to make multi-document insights easier to understand.

Challenges we ran into

Ensuring real-time collaboration without conflicts was tricky.
Designing multi-document comparison and benchmarking efficiently.
Training AI to handle diverse financial clauses and generate meaningful suggestions.
Balancing accuracy and speed — documents needed fast analysis without losing detail.

Accomplishments that we're proud of

Built a fully functional AI-powered deal checker from scratch.
Integrated multi-document analysis and benchmarking.
Developed a real-time collaboration system for teams and document recipients.
Created a dynamic risk assessment dashboard with actionable insights.

What we learned

Handling complex documents requires careful data structuring and preprocessing.
Real-time collaboration adds UX and backend complexity but improves usability drastically.
Designing AI to assist, not replace, human decision-making is crucial.
Iterating with feedback improves the product faster than trying to perfect it alone.

What's next for DocMitra

Enhance AI suggestions with industry-specific templates and advanced “what-if” analytics.
Add version control for multi-document edits.
Expand collaboration features for larger teams with permissions and roles.
Integrate with external financial databases for better benchmarking and insights.