Orbital Copilot AI Agent accelerates real estate lawyers' lease reporting by up to 70%
Real estate lawyers must wade through hundreds of pages of intricate legal documents to perform due diligence, a highly time-intensive process. Classical ML approaches required extensive labelled datasets, and simpler LLM-based systems were limited to straightforward tasks and unable to replicate the complex, multi-document reasoning lawyers apply during due diligence.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Lawyer submits query and documents
A lawyer uploads legal PDF documents and prompts Orbital Copilot with a question.
Tools used
Orbital CopilotGPT-4BERTT5
Outcome
Orbital Copilot reduces the time for a comprehensive lease report by up to 70%, yielding substantial financial savings per property for law firms and their clients, with cumulative efficiency gains given the regularity of lease reports in real estate law.
What failed first
Simple LLM wrapper systems that summarise documents or answer specific one-off questions were insufficient for the complex, multi-document reasoning required in real estate legal due diligence.