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Spellbook

Category: AI in Legal

An AI-powered legal copilot integrated directly into Microsoft Word that assists transactional lawyers with contract drafting, review, and market benchmarking. Spellbook was founded in 2018. The company is led by Scott Stevenson. Based in St. John's, Canada. Team size: 100-250. Total funding raised: ~$84.8M total. Latest round: Series B ($50M, Oct 2025) at $350M valuation. Key investors include ["Khosla Ventures","Thomson Reuters Ventures","Inovia Capital","Threshold Ventures","Moxxie Ventures","The Legaltech Fund","Bling Capital"].

Founded
2018
Headquarters
St. John's, Canada
Team size
100-250
Total funding
~$84.8M total

Value proposition

Increases drafting speed by up to 3x and improves contract accuracy by providing real-time AI suggestions, risk detection, and market-standard benchmarks within the lawyer's existing workflow.

Products and solutions

["Spellbook (MS Word Add-in): Core AI drafting and review copilot.","Spellbook Insights: 'Moneyball for Contracts' tool providing real-time market benchmarks and deal data.","Spellbook Associate: AI agent capable of planning and executing complex, multi-step legal workflows.","Spellbook Reviews: Automated redlining and risk assessment tool.","Spellbook Library: Feature that allows the AI to learn from and suggest language based on a firm's own precedents.","Playbooks: Specialized contract-review feature tailored for in-house legal teams."]

Unique value

The first generative AI copilot specifically for transactional law that operates entirely within Microsoft Word, combined with 'Spellbook Insights' which uses aggregated deal data to provide 'Moneyball'-style market benchmarks.

Target customer

Transactional lawyers, law firms (solo to Big Law), and in-house corporate legal departments.

Industries served

["Legal Services","Corporate Law","Real Estate","Mergers & Acquisitions (M&A)","Technology & SaaS"]

Technology advantage

Leverages a multi-model approach (including GPT-4o) fine-tuned for legal language, integrated with proprietary 'Library' technology that adapts to specific firm styles and a massive database of real-time market deal points.

How they differentiate

Spellbook differentiates by being 'MS Word-native,' living entirely within the lawyer's existing workflow rather than a separate platform. It also features 'Spellbook Insights,' which provides 'Moneyball-style' market benchmarking data, allowing lawyers to see if their contract terms are aggressive or standard compared to thousands of other deals.

Main competitors

["Harvey","CoCounsel (by Casetext/Thomson Reuters)","Luminance","Ironclad"]

Key partnerships

["Thomson Reuters: Strategic investor and partner; integrated Practical Law content into the Spellbook platform.","Microsoft: Built on Azure OpenAI Service and deeply integrated into the Microsoft Word ecosystem.","Khosla Ventures: Lead Series B investor providing strategic growth guidance.","The Legaltech Fund: Strategic partnership for legal industry penetration."]

Notable customers

["Mid-market law firms globally","Corporate legal departments","Solo practitioners and boutique transactional firms"]

Major milestones

["Rebranded from Rally to Spellbook in 2022 to focus on Generative AI.","Launched 'Spellbook Insights' in 2024, the first real-time market benchmarking tool for contract negotiations.","Raised $50M Series B led by Khosla Ventures in January 2024.","Integrated Thomson Reuters' Practical Law content directly into the AI workflow."]

Growth metrics

Reported 10x revenue growth in 2023 and is on pace to triple revenue in 2025; currently serves over 4,000 law firms and legal teams.

Market positioning

Leading AI copilot for transactional and mid-market law firms, positioning itself as the most practical, workflow-integrated tool for contract drafting and negotiation.

Geographic focus

Global, with primary market concentration in North America (USA and Canada), the UK, and expanding presence in over 80 countries.

Patents and IP

No specific registered patent numbers disclosed; relies on proprietary AI scoring logic and trade secrets regarding legal-specific LLM fine-tuning.

About Scott Stevenson

Scott Stevenson is a computer engineer and serial entrepreneur with over 15 years of experience in software engineering and product leadership. Before co-founding Spellbook (originally Rally), he was the Director of Engineering at Sift (a network monitoring startup) and founded Strum, a venture in the musical instrument technology space. He is a pioneer in applying Large Language Models (LLMs) to the legal industry, leading the development of the first generative AI copilot for lawyers.

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