AI Agent System for Legal Document Workflow

We're a law firm looking to automate several internal workflows using AI agents. We've identified three areas where we're losing the most time: 1. Client intake — classify inbound inquiries, extract key facts, run a conflict check against our client list, draft a summary for the attorney. 2. Contract review — upload an NDA or MSA, get back a clause-by-clause risk summary flagged against our internal standards. 3. Research memos — attorney submits a question or case brief, agent pulls relevant precedents (we use Westlaw) and returns a structured memo. Agents should hand off between each other and escalate to a human when confidence is low. Tech: Python preferred, no proprietary no-code platforms. LangGraph or similar is fine. Needs to integrate with Google Drive. Looking for someone who's shipped agentic systems before, ideally in a document-heavy domain. Include a relevant case study in your proposal. Paid discovery call ($150/1hr) before awarding the contract.