An open-source framework from Microsoft Research for building multi-agent applications, where agents converse to solve tasks together.
AI / LLM comparison
Pricing, pros, cons, and ideal use cases — side by side.
An open-source framework from Microsoft Research for building multi-agent applications, where agents converse to solve tasks together.
AI contract review and drafting that lives inside Microsoft Word, where lawyers already work.
| Microsoft AutoGen | Spellbook | |
|---|---|---|
| Pricing | FreeOpen-source (MIT), free to use. You pay only for the underlying model API calls. | EnterpriseNot published — 7-day free trial, then per-seat pricing quoted after a demo. Ask about Playbook setup, which is where the value concentrates. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Engineering teams prototyping multi-agent systemsResearch and innovation groupsTeams already in the Microsoft ecosystem | Small and mid-size law firms doing transactional workLean in-house legal teamsCorporate counsel handling high contract volumeFirms standardizing on drafting playbooks |
Microsoft AutoGen is the lighter-weight option (Free), while Spellbook sits higher on the pricing ladder (Enterprise). Microsoft AutoGen is built around engineering teams prototyping multi-agent systems; Spellbook leans more toward small and mid-size law firms doing transactional work. Shortlist the one whose strengths line up with your biggest constraint.