Catalog Systems Vertical / domain-specific AI memory Spellbook Library

Spellbook Library

https://www.spellbook.com/library

Transactional / contract drafting. Ingests the firm's precedent corpus (OneDrive, Dropbox or direct upload); indexes it so lawyers search past clauses in plain language inside Word, insert one, and have Spellbook adapt it to the style and context of the current deal. Goal: eliminate "reads like ChatGPT" output.

Active · Verified 2026-10-23 · fresh as of 2026-10-23 · 33 cited facts, 10 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Type
Firm-precedent corpus memory third-party fix
Tier
T1
Section
Vertical / domain-specific AI memory
Created
2018 (company founded 2018; Spellbook product launched 2022; Toronto Canada) third-party fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
7-day free trial; paid pricing via sales (book a demo) vendor fix
Funding
total $80M+ ($50M Series B at $350M post-money led by Khosla Ventures, 2025-10-09) third-party fix
Freshness
2026-10-23 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
product vendor fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
long-term
update
extraction
unit
document
governance
auditable
conflict
none

When to use

Optimised for: matter-scoped privilege + audit + firm-precedent memory

Anti-fit: not for non-legal verticals; not for self-represented litigants

Pros & cons

Pros

Lowest-friction legal AI — sits inside Word with no separate UI; firm-knowledge library is curated, not opaque.

Cons

Word-only; transactional drafting focus; less depth than Harvey on litigation or research workflows.

Claims & capabilities

$50M Series B (Khosla Ventures, Oct 2025) at $350M post-money; $80M+ total funding.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Managed SaaS inside Microsoft Word (plus Google Docs, iManage, SharePoint/OneDrive integrations)
Embedding model
searched not found
Multi-tenancy
Multi-tenant SaaS with zero data retention from LLM providers (data exists only in memory for request)
MCP
no MCP support advertised — vertical product, no MCP server / client integration documented
A2A
no A2A protocol support advertised — vertical product, no A2A integration documented
OpenTelemetry
no OpenTelemetry integration advertised — vendor logs/observability not publicly documented

Alternatives to Spellbook Library → live options ranked by shared design, licence, hosting and MCP support

Similar systems

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  • BenevolentAI T1

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Sources (32 cited facts, 10 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-23
    • Homepage “https://www.lawnext.com/2025/07/introducing-spellbook-library-contract-ai-that-learns-from-your-precedents.html” → “https://www.spellbook.com/library”
    • Pricing “7-day free trial; paid pricing via sales” → “7-day free trial; paid pricing via sales (book a demo)” source
    #223
  2. 2026-10-22
    • Pricing first recorded as “7-day free trial; paid pricing via sales” source
    • Funding / ownership “$31M total Series A · 2024-01” → “total $80M+ ($50M Series B at $350M post-money led by Khosla Ventures, 2025-10-09)” source
    • Deployment first recorded as “Managed SaaS inside Microsoft Word (plus Google Docs, iManage, SharePoint/OneDrive integrations)” source
    #219