

AI Builder Dinner with Andrew Ng
In-house legal teams are drowning in contract volume, compliance obligations, and cross-functional requests, but legal headcount does not scale with company growth. Routine legal work often waits, moves slowly through outside counsel, or gets handled by operators without enough context.
We are exploring Syntra, an AI-native general counsel product for SMB and mid-market companies. The first wedge is contract intake and routine legal review: ingest PDFs, Word documents, and email attachments; extract and classify clauses; compare incoming paper against company playbooks and approved clause libraries; flag risk; draft reviewer-ready responses; and route anything that needs judgment to the right human reviewer.
This dinner is an informal working conversation about what it takes to build a reviewer-facing legal system that produces grounded redlines with traceable citations, handles messy DOCX, PDF, and email-thread contracts, and earns the trust of legal teams who care about precision, version history, and audit trail. The product is not autonomous legal advice; it is a workflow for making operators faster while keeping attorney judgment in the loop.
The Engineer in Residence: Syntra role is a 12-week, full-time, on-site residency in Mountain View with AI Fund. EIRs work directly with Andrew Ng and the AI Fund team to pressure-test an applied GenAI idea and decide whether to build a company around it. Read the EIR program overview and EIR FAQ for more details.
Who's a good fit for this conversation:
Full-stack or backend builders who have shipped production systems that process complex documents
Engineers with experience in document AI, NLP, OCR, retrieval, structured extraction, classification, or LLM reasoning
Builders who have worked on CLM, e-signature, contract analytics, legal research, compliance tech, or regulated-document workflows
Founders or founding engineers from workflow-heavy B2B software who think in audit trails, citations, reviewer queues, and version history
Applied AI builders who know where legal hallucination is unacceptable and design for precision, false-positive management, and human-in-the-loop review
What to expect:
Dinner in Mountain View, CA
Small group, ~15 builders
Andrew Ng and the AI Fund team
Open technical conversation
Invite-only. Capacity 20.