Legal / contract intelligence
Contract intelligence pipeline
Pulls contract PDFs from Drive and bulk uploads, unpacks nested archives and attachments, then walks each document through a chain of explicit LLM stages — citation extraction, deal typing, vendor identification, overlap and amendment detection, redaction checks.
Pipeline
- extracting text
- citation
- deal type
- vendor
- deal data
- summary
- overlap check
- amendment check
- redaction
- human QA gate
- import
01The brief
What made this hard.
The problem
Analysts were reading thousands of sponsorship contracts by hand. Naive automation was not an option: a wrong extraction propagates into downstream reporting, and a job that dies late in the chain cannot afford to re-burn every prior stage of tokens.
The approach
Each document is a work unit with an explicit status enum and one background job per stage. A stage only enqueues the next on success, and every job is idempotent, so a failure resumes exactly where it broke. All model calls route through a provider gateway with bounded retries, a hard timeout and typed handling for read and connect timeouts. Before anything reaches reporting, the pipeline writes a QA record listing the model's disagreements and open issues and halts at a review gate — only that item blocks; the queue keeps draining.
02In production
What it actually does, day to day.
- Resumable pipeline with one idempotent job per stage
- Bounded retries + 180s timeout + provider failover on every model call
- Human review gate blocks the item, never the queue
- Live and unattended for over a year
Stack
03More systems
Others we have shipped.
04Start here
Tell us what you are building. We will tell you what it takes.
Four short steps, then a real conversation with the engineer who would build it. No sales call, no discovery deck.
Rather just talk?
Grab 45 minutes. You will be on with an engineer, not a salesperson.
- No NDA needed to have the first conversation
- You keep the architecture note either way
- We will tell you if we are the wrong fit