Startups are increasingly using AI to handle legal and accounting tasks themselves, avoiding high professional fees. This signals a significant market need for tools that formalize and support this DIY approach, especially as startups scale and require more robust solutions for investors.

Parvy's founders validated their idea by applying GPT-3 to 100 legal questions from Reddit. They sent the AI-generated answers to attorneys, who approved 86% without edits. This simple, real-world test was so effective it surprised even OpenAI's own legal team about their model's capabilities.

After a document is drafted, lawyers ask an AI tool to review it for missed points or alternative angles. The tool acts like an impartial third party with vast analytical recall, offering suggestions that refine and improve the final work product at a minimal cost.

Joanna Stern describes AI as her "co-founder," not for creative direction, but for handling mundane business setup tasks. This includes planning, research, outreach, and writing contracts, which she estimates AI handles 80% of, making a solo venture more feasible.

Resource-constrained startups are forgoing traditional hires like lawyers, instead using LLMs to analyze legal documents, identify unfavorable terms, and generate negotiation counter-arguments, saving significant legal fees in their first years.

Venture capital firms are leveraging AI tools like Google's NotebookLM to process deal flow. They ingest investment memos and legal documents to analyze them against their investment thesis and even simulate a preliminary legal review.

Instead of paying a high-priced consultant, transcribe their public content (e.g., YouTube videos, podcasts). Feed these transcripts into an AI tool like Claude and ask it questions as if it were the consultant. This provides access to expert-level strategic advice for a fraction of the cost.

Instead of paying lawyers $50,000 for deal diligence, Union Square Ventures' Fred Wilson used Google's free AI tool, NotebookLM. He uploaded past deal documents and the new startup's data room into separate "notebooks" and used AI to interrogate the differences, collapsing weeks of expensive work into a few hours.

Venture capitalist Keith Rabois observes a new behavior: founders are using ChatGPT for initial legal research and then presenting those findings to challenge or verify the advice given by their expensive law firms, shifting the client-provider power dynamic.