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Spellbook vs Harvey comes down to scope: Spellbook is a commercial contract specialist and Harvey is a full-stack platform for an entire legal department. Spellbook handles contract drafting, review, redlining and market benchmarking inside Microsoft Word. Harvey handles legal research, document review, regulatory monitoring, intake and contract review on a web platform, with Word and Outlook add-ins. Both products now redline contracts against a playbook, so the Word-versus-web difference that once separated them has narrowed. What still separates them is how much of a legal team's work each is built to carry, the data behind the answers, and the way each one is bought.
For an in-house legal function deciding between a focused contract tool and a department-wide rollout, the comparison starts with what each product was built to do, not with a feature checklist.
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Spellbook and Harvey both cover contract review, but Spellbook builds its whole feature set around commercial contracts while Harvey treats contracts as one module in a wider legal platform.
Spellbook is built around one job: reviewing, drafting and redlining commercial contracts inside Microsoft Word. The Review feature surfaces risks and proposes redlines as native Word tracked changes, checked against a customer's own Playbooks and benchmarked against 20M+ real contracts through Compare to Market. The Draft feature produces a first pass from a template or a set of instructions, and the Clause Library and Preference Learning carry a team's own language forward from one contract to the next.
Pros
Cons
Harvey is a legal AI platform built for an entire legal department rather than a single workflow. Beyond contracts, the platform covers legal research, document review, regulatory monitoring and intake, and it runs agents that execute multi-step work across several of those modules in parallel, with plan review and approval before anything runs and citation-backed output a lawyer can check. Harvey states it serves 200,000+ lawyers across 3,500+ organizations in 85+ countries, a scale built for a department rollout rather than a single team's trial.
Pros
Cons
The key differences between Spellbook and Harvey are the breadth of legal work each product is built to carry, the data each grounds its answers in, and the way each one is bought. Spellbook is a commercial contract specialist grounded in market data from more than 20 million real contracts. Harvey is a department-wide platform grounded in legal research sources and a firm's own document vault.
Spellbook is built to do one workflow deeply: commercial contract drafting, review and redlining. Harvey is built to carry a department's whole workload, from research through diligence to contracts. Harvey publishes a dedicated Transactional solution alongside Litigation and In-House, so the split between them is breadth rather than transactional against litigation work.
Spellbook answers what is market from 20M+ real contracts and 2,300+ benchmark standards. Separately, Spellbook Labs analyzed 3,019 material-contract exhibits filed with the SEC by more than 500 public companies and found that 60% contained drafting errors. Harvey answers what is in a firm's own documents and the law from Vault, connected systems and legal research sources. Harvey's Contract Intelligence module benchmarks a live negotiation against the customer's own executed deals, which is a narrower, more specific base than market-wide data, and a different base again from a general-purpose assistant such as Claude.
Spellbook starts with a self-serve trial; Harvey starts with a sales conversation and an enterprise agreement.
Yes. Harvey works inside Microsoft Word through the Harvey for Word add-in, which drafts and edits documents from natural language prompts, runs playbooks with visibility into rule updates and redlines, and handles one-click tasks such as translation and template fills. Spellbook works inside Microsoft Word too, so Word access is not the line between them.
The real difference now sits one level deeper, in what each add-in is grounded in and what it does with a playbook. Spellbook's redlines are checked against a customer's own Playbooks and against market data from 20M+ real contracts, and they land as native Word tracked changes as part of the core product. Harvey's redlines come through Contract Intelligence, which auto-triages inbound contracts, runs a playbook and benchmarks deal terms against the customer's own executed deals rather than market-wide data. Both products redline. The distinction is what each one checks a contract against: Spellbook against the broader market, Harvey against a firm's own deal history.
Spellbook and Harvey both price privately, so the Spellbook vs Harvey pricing comparison is between two buying models. Spellbook sets custom per-seat pricing by team size and the features a team needs, and a free seven-day trial starts without a sales call. Harvey does not publish standard pricing, and estimates vary by firm size, seat count, and deployment scope; access starts with a demo request through its sales team.
Reported dollar ranges for either product circulate online, usually sourced from AI summaries or third-party blogs rather than either vendor's own pricing page, and the estimates attributed to Harvey vary widely between them. Neither company's own site publishes a figure.
The practical difference is in how a team gets access, not in which number is bigger. Spellbook's trial requires no implementation project: a lawyer can test it against real contracts the same day. Harvey's path runs through a demo and, for most buyers, a rollout planned with procurement, because the platform is scoped for a department rather than a single desk.
On data security Spellbook and Harvey publish the same two core commitments: SOC 2 and no training of models on customer documents. What each publishes beyond that differs. Spellbook lists SOC 2 Type II, zero data retention, SSO, encryption, and GDPR and HIPAA compliance. Harvey describes the security commitments on the Harvey security page as aligned with SOC 2, ISO and GDPR, backed by third-party audits, alongside SAML SSO, audit logs, IP allow-listing, in-region data residency and ethical wall enforcement.
Both companies contractually commit to not training models on customer inputs or outputs, which is the commitment most buyers ask about first. Beyond that baseline, Harvey publishes more detail on data residency (EU, Switzerland, US or Australia) and on ethical wall enforcement across practice groups, which matters most to larger firms managing conflicts. Spellbook publishes zero data retention as a named, specific commitment rather than a general policy statement.
A legal team evaluating either tool should also weigh its own ethical duties under ABA Formal Opinion 512, which addresses lawyers' duties of competence, confidentiality, communication, candor, supervision and fees when using generative AI tools in practice. Neither vendor's security page substitutes for that analysis; it still sits with the lawyer using the tool.
Choosing between Spellbook and Harvey follows how much of a team's work is commercial contracts. Spellbook is the stronger choice for teams whose week is third-party paper and negotiation. Harvey is the stronger choice for departments that also need research, litigation support and diligence across thousands of documents, and that can fund an enterprise rollout.
A team is a good fit for Spellbook when most incoming work is contracts someone else drafted, such as master service agreements (MSAs), data processing agreements (DPAs) and vendor agreements, arriving faster than the team can read them line by line.
A department is a better fit for Harvey when contract review is one task among research, litigation support and document review at scale, and the buyer can commit to an enterprise rollout rather than a single-team trial. Departments at that size have often tested Harvey against ChatGPT before scoping a specialist platform. A tool built for a single workflow will not replace a platform built to carry a department's full caseload.
Some teams fit neither tool well: too small for an enterprise rollout, but needing coverage beyond what a commercial contract specialist reaches. The deciding question is not which tool wins on features, but which gap matters more between breadth of legal work and depth on a single practice area outside commercial contracts. For a multi-jurisdictional practice, the ground Legora and Harvey compete on is coverage across jurisdictions rather than coverage across a whole legal department.
For most other teams the gap runs by practice area, which is how the specialist alternatives to Harvey divide: each goes deep on one area of work rather than covering a department in full.
A team that has decided Spellbook fits its contract workload does not need to wait for a sales cycle to find out. Try Spellbook free: the trial runs on real contracts, inside the Word document a lawyer already has open, with no implementation project and no sales call required to start.
Spellbook is a reasonable alternative for teams whose evaluation of Harvey was really about contract review specifically, rather than the full legal-department platform. A team that only needs drafting, review, redlining and market benchmarking gets that workflow built as the core product rather than one module inside a larger platform.
Yes, through Contract Intelligence. The module:
Some departments do. A team might use a specialist tool for the bulk of day-to-day contract drafting and redlining, while a separate department-wide platform handles research, diligence and matters outside commercial contracts. Running both means budgeting for two tools rather than consolidating onto one, so the combination tends to make sense only once a department's contract volume and its research or diligence volume both justify dedicated tooling on their own.
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