Spellbook
About
Spellbook is an AI-powered contract drafting and review assistant that leverages large language models to help lawyers draft, review, and negotiate contracts faster and more accurately. Founded in 2022 in Toronto, Canada, with over $20 million in funding and a team of 50+ employees, Spellbook represents the cutting edge of legal technology by applying GPT-4 and other advanced AI models specifically to legal work. The platform integrates directly into Microsoft Word as an add-in, allowing lawyers to use AI assistance within their familiar drafting environment without changing workflows. Spellbook can suggest new clauses based on context, identify missing provisions that are standard for specific contract types, and flag potentially problematic language that could create unintended risk. The AI analyzes contracts against vast databases of legal language and precedent to provide recommendations grounded in actual market practice rather than theoretical best practices. Spellbook's negotiation features help lawyers quickly generate redlines, suggest compromise language, and draft responses to counterparty positions. The platform can explain complex legal concepts in plain language, making it useful for training junior associates and helping clients understand their agreements. Spellbook's review capabilities identify deviations from standard terms, aggressive provisions, and missing protections that human reviewers might overlook in lengthy documents. The platform learns from usage and feedback, improving suggestions over time while maintaining confidentiality and security of client information. With features specifically designed for different practice areas including M&A, commercial contracts, employment agreements, and real estate, Spellbook enhances lawyer productivity while maintaining human judgment and expertise as the final decision-maker in all legal matters.
Company Details
- Type
- commercial
- Employees
- 50+
- Funding
- $20M+
Key Products
- Contract Drafting
- Review
- Suggestions
- Word Add-in