85%Reduction in manual review time
The Challenge
Commercial real estate analysts spend 4+ hours per deal manually extracting terms from lease documents, cross-referencing market data, and generating summary reports. The process is slow, error-prone, and bottlenecks deal flow.
The Solution
We built an LLM-powered document parsing agent that extracts key lease terms from PDFs, cross-references against market comparables, and generates formatted analysis reports. The agent handles everything from initial extraction through final deliverable, with human review only at the output stage.
The Results
85%
Time reduction per deal
99.2%
Extraction accuracy
3x
More deals analyzed per week
Tech Stack
PythonOpenAI GPT-4LangChainPostgreSQL