What Is Spellbook AI? Features, Pricing, and Review

Contract review is one of those jobs that eats entire afternoons — reading the same indemnification clause for the twentieth time, hunting for the one non-standard term buried on page 14. Spellbook was built to take that grind off a lawyer’s plate. Here’s what Spellbook actually does, how it plugs into Microsoft Word, and where it fits if your team is evaluating legal AI tools in 2026.

What is Spellbook?

Spellbook is an AI-powered contract review and drafting tool built specifically for transactional lawyers — the ones who spend their days negotiating and redlining commercial agreements rather than arguing in court. It runs as an add-in directly inside Microsoft Word, which matters more than it sounds like it should, since it means lawyers don’t have to leave the document they’re already working in to get AI help. It launched publicly in 2022 as one of the first generative AI tools built specifically for legal work, though the company behind it, originally called Rally, was founded back in 2018 in St. John’s, Newfoundland, before relocating to Toronto.

Spellbook was co-founded by CEO Scott Stevenson along with Daniel Di Maria and Matt Mayers.

How does Spellbook work inside Microsoft Word?

Instead of asking a lawyer to copy contract text into a separate chatbot, Spellbook sits inside the Word sidebar and works directly with the document that’s already open. It reads the contract, compares it against a firm or legal team’s own playbooks and standards, and surfaces AI-generated redlines as tracked changes — meaning every suggestion shows up the same way a human editor’s comment would, and the lawyer decides whether to accept, edit, or reject it. Spellbook uses a mix of large language models, including GPT-5 and Claude, rather than relying on a single model for every task.

What can Spellbook actually do for contract review?

Beyond basic redlining, Spellbook’s feature set covers a few distinct jobs:

• Review Flags — automatically flags aggressive terms, missing clauses, and risk language while a lawyer is reading through a contract.
• Clause and contract libraries — pulls from a built-in library of NDAs, master service agreements, and employment agreements, plus a firm’s own precedent documents.
• Multi-document comparison — lawyers can upload several contracts at once and ask Spellbook to compare specific clauses, like indemnification terms, across all of them.
• Drafting from scratch — generates new clauses or full documents based on a lawyer’s instructions or preferred precedent language.

The company has also been expanding into more agentic features, including a multi-document reviewer it calls “Associate,” aimed at handling larger due-diligence-style batches of contracts at once.

How much does Spellbook cost, and is there a free trial?

Spellbook offers a 7-day free trial to evaluate the platform before committing. Beyond that, pricing details are best confirmed directly on Spellbook’s own site, since legal-AI pricing tends to shift with plan tiers, seat counts, and enterprise features — treat any third-party pricing figures you see elsewhere as a starting point rather than a locked-in number.

Who uses Spellbook, and how much funding has it raised?

Spellbook says its platform has been used to review more than 10 million contracts for close to 4,000 customers worldwide, including large companies like Nestlé and eBay. On the funding side, Spellbook raised a $20 million Series A in January 2024 led by Inovia Capital, followed by a $50 million Series B in October 2025 led by Khosla Ventures — with Khosla managing director Keith Rabois joining the board — bringing total funding to over $80 million and pushing the company’s valuation to $350 million. Backers across its funding history also include Thomson Reuters Ventures, The Legaltech Fund, Bling Capital, and Moxxie Ventures.

How is Spellbook different from tools like Harvey AI?

Both are well-known names in legal AI, but they target slightly different work. Spellbook focuses specifically on transactional contract work — drafting and reviewing commercial agreements — and lives inside Microsoft Word, which makes it a natural fit for small-to-mid-size firms and in-house legal teams that live in Word all day. Harvey AI positions itself as a broader enterprise legal platform covering research and document analysis beyond just contracts. If your legal work is mostly redlining vendor agreements, NDAs, and MSAs, Spellbook’s narrower, Word-native focus is generally considered the more purpose-built option; broader litigation or research-heavy legal work may call for a different tool.

Would a game studio or esports org use something like Spellbook?

Game studios and esports organizations deal with a surprising volume of contract work — publisher agreements, sponsorship deals, player and talent contracts, licensing terms for engines or middleware, and vendor NDAs. Smaller studios and esports orgs often don’t have a large in-house legal team to handle all of that, so an AI contract review tool that flags aggressive terms and speeds up redlining could realistically save real time on the business side, even outside a traditional law firm setting. It’s the same logic driving adoption of workflow-automation tools like Gumloop among ops and growth teams — using AI to clear out repetitive, high-volume work so people can focus on judgment calls.

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