ContractKen vs Spellbook: how they compare in 2026
Spellbook is the closer fit for a firm that wants Word assistance to draw directly from permission controlled iManage precedents and named public legal sources, with Associate extending work across multiple files. ContractKen centers on the lawyer's review instructions, drafting inputs and local masking before a configured model request. Both leave acceptance and verification with the lawyer, and a source link alone does not establish a correct legal proposition. A September 2026 New York decision recounts a lawyer accepting Spellbook changes without repeating a citation check; the findings concern that lawyer's conduct. Commercially, Spellbook quotes by team size, while ContractKen exposes a standard review rate. Their provider restrictions also differ from their own permitted personalization or improvement uses, so those layers should be considered separately.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Models classify clauses, compare negotiation positions, explain deviations and generate contract drafts or proposed edits. The current pipeline combines language inference, entity recognition, retrieval from approved material and generative models selected for the task. These functions are central to the review and drafting work. The Word application also retains useful nonmodel components: a shared clause library, playbook administration, formatting checks and reference validation. Users can organize approved language and maintain negotiation standards alongside the AI analysis. ContractKen thus joins model driven legal work to an established editing and knowledge workflow, rather than treating every formatting or storage operation as artificial intelligence.
The models are the product. Review, Draft, Ask, Compare and the Associate agent are all generative capabilities delivered through a Word add in that exists to carry them. The company pivoted its whole business to generative AI in 2022, rebranding from Rally to Spellbook. Remove the models and there is no product, only an empty add in.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Review findings connect to the relevant contract passage, and generated explanations draw on the customer's playbooks, clause library and prior agreements. Retrieval preserves section structure, definitions and cross references instead of splitting text without that context. Drafted clauses identify whether they came from a precedent, approved library language or a playbook requirement. Low confidence suggestions are flagged for review. The models undergo internal classification tests before deployment, but current numerical results, a reproducible test set and error rates for generated legal conclusions are not specified. A research result about similar legal models is separate from ContractKen's production accuracy.
Ask can use selected iManage files and return citations to the team's own contracts. The legal data connection retrieves material from named public sources such as CanLII, CourtListener, Cornell Law, EUR Lex and regional legal information institutes, with links to the underlying authority. Those sources can inform questions, drafting and review inside the same workflow. Their currency follows the source operator's updates. A reproducible accuracy evaluation for the current product, an automatic subsequent treatment check and a stated abstention threshold are not specified. A citation makes an answer inspectable; it does not establish that a quotation or legal proposition has been verified by the reviewing lawyer.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
Playbook Driven Review checks preferred, fallback and walkaway positions; Comprehensive Review provides an alternative when no organizational playbook exists. Risk sensitivity can be adjusted, and the playbook framework distinguishes deviations that require escalation to a partner. Reviewers navigate to the exact clause, inspect an explanation and approve, modify or reject a proposed change. No edit enters the agreement without explicit human approval. Drafts receive a playbook compliance report before use, and administrators control who can change the playbook itself. These controls separate automatic analysis from the lawyer's decision about the final language and the route for an unacceptable negotiating position.
Review proposes changes in Word for the lawyer to inspect and approve, either individually or in a group. Playbooks encode the team's instructions, while Associate takes on work across several files with user oversight. Proposed edits can carry the reviewer's identity when accepted, and citation links let the reviewer inspect supporting material. The terms place responsibility for reliance and verification with the customer. The existing suite therefore has recognizable human review surfaces, but no universal threshold is stated at which Associate must stop or escalate an unsupported conclusion. The separately announced Autonomous Contract Management offering remains in early access.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Named practitioners describe using ContractKen in contract work. Aseet Patel, a lawyer and legal technology founder, uses it for agreements and term sheets before sending work to outside counsel for final review. Sharon Zachariah, an innovation lawyer and former partner, describes using it after drafting or reviewing client contracts. These accounts identify people and actual tasks, but give no dated baseline or measurement method. Separate drafting illustrations promise substantial reductions in time to a first draft, and the review calculator estimates savings from assumed workloads. Those illustrations do not establish measured outcomes for either named practitioner or the current AI pipeline.
Spellbook has named customer accounts involving Dropbox, Panasonic, KMSC Law, Alturas Capital Partners and Elevare Law. Panasonic's account concerns saving three weeks while building an RFP process, while other testimonials describe drafting capacity and keeping work inside the legal team. The current pricing page states use by more than 5,000 legal teams and includes those stories alongside separate firm and in house offerings. These examples establish identifiable use rather than only a logo wall. A consistent dated measurement protocol, comparison baseline and workload definition do not accompany the range of savings claims, so the figures are specific customer accounts rather than a reproducible general result.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
The security commitments treat content as confidential work product, restrict staff access to necessary support under confidentiality obligations and separate customer tenants with individual encryption keys. The Moderation Layer masks sensitive text locally, offers a preview and validates the sanitized version before external model processing. Public or shared model training is excluded in the security FAQ, while the architecture also describes controlled feedback learning and private customization. The general terms reserve content review for service improvement. Retention and purge controls exist, but internal matter walls and a consistent contractual training restriction are not established across these different surfaces.
Spellbook's agreement expressly protects privileged information and work product and requires confidentiality for staff and service providers handling customer content. Its iManage integration preserves existing file permissions and ethical walls. Third party models cannot train on customer content and operate under zero retention commitments. Spellbook itself may use deidentified content for customer specific personalization and retain inputs and outputs temporarily for quality assurance, while the terms restrict those uses and access. These permissions are narrower than unrestricted cross customer training, but they are not an across the board ban on learning from client content. Application history also has no single stated in use retention deadline.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The terms distinguish ContractKen from a law firm or attorney and state that its information is not legal advice. They direct people needing advice to a licensed lawyer and do not create a professional relationship with the vendor. The product reinforces supervision through source inspection, playbook controls and required approval of generated changes. Its confidentiality explanation also engages with lawyers' duties under ABA Formal Opinion 512. Standard clauses include common law jurisdiction notes, but that coverage does not define a complete set of professional practice limits. The trial audience includes people who are not lawyers as well as legal teams.
Spellbook's terms identify output as information rather than formal legal advice and place verification and appropriate lawyer review with the customer. The product is directed to law firms and legal departments, with review controls inside Word and oversight of Associate's work across files. The agreement also warns that non English use can produce unsatisfactory results. That is a concrete language limitation, but not a tested jurisdictional coverage matrix or a map of which regulated services the software can provide. Human acceptance of a redline remains part of contract work, and an answer from a cited public source is not a substitute for checking its legal application.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
ContractKen describes a controlled model update process using feedback from accepted, modified and rejected suggestions. Those signals are aggregated and reviewed before supervised retraining, rather than changing the model instantly after each user action. Updated models face held out tests using precision, recall and F1 measures; performance must remain stable or improve before release. Administrators can also restrict sensitive information through redaction rules. This is a concrete development and release framework. A named person accountable for AI governance, current test results and findings about uneven performance across jurisdictions, contract types or groups are not specified.
Spellbook's terms describe internal AI risk and prohibited use policies, staff education and regular reassessment of ethical and legal requirements. Its security material also cites a CMS Law opinion classifying the product under the EU AI Act and identifying applicable controls. These are concrete governance arrangements beyond a general promise to act responsibly. The product supports verification through citations and user approval of edits, but those controls are separate from evaluating a model before release. A named internal owner, a reproducible release test set and disclosed results about uneven behavior across populations or matter types are not specified in the available framework.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Administrators can request an immediate purge of contracts, prompts, logs and backups. Operational logs normally remain for 30 days, with a contractual option to set that period to zero. Enterprise controls include single sign on, administrator multifactor authentication and permissions for playbook uploads, draft review and data export. Staff access is restricted and logged. The security FAQ states continuous monitoring and material incident notification within 72 hours or a faster legal deadline. A complete current subprocessor register and the DPA require a request, and the default retention period for application prompts and generated output is not separately stated.
OpenAI and Anthropic process Spellbook requests under zero retention and no training commitments. Spellbook's own terms permit quality assurance copies of inputs and outputs for up to 90 days, restricted to authorized staff, and self service abuse monitoring for up to 30 days unless an investigation or law requires longer. Microsoft identity integration lets organizations enforce their authentication policies, and iManage access preserves source permissions. The agreement covers confidentiality, security incidents and deletion or return of customer material, while the processor register identifies downstream services. The ordinary lifetime of all application history is not stated as a single fixed period.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The public terms disclaim accuracy, completeness and noninfringement warranties and cap aggregate liability at the greater of $100 or fees paid in the preceding 12 months. Exceptions concern death, property damage or injury from gross negligence, and fraud or fraudulent misrepresentation. Customers indemnify ContractKen for specified claims. The security FAQ offers a stronger position, including an IP indemnity, performance warranty, cyber and professional insurance and different liability exceptions. Paid customers may instead have an Enterprise Services Agreement, whose text is not available here. Those stronger commitments therefore do not clearly replace the default terms for every subscriber.
Spellbook gives an indemnity for specified intellectual property claims against its software and provides service warranties, while disclaiming the accuracy of generated output and responsibility for customer reliance on it. The general limit is twelve months of fees, with exceptions including confidentiality, security, data incidents and indemnification duties. The agreement includes mutual protection for specified data incident claims and gross misconduct. Beta Features have separate warranty exclusions and a CAD 10,000 cap. These are concrete protections for platform and data risks, but they do not provide an accuracy warranty compensating a client when an accepted clause or legal assertion is wrong.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
The Word add in reads the active agreement chosen by the user, rather than scanning other files or email. Review findings navigate to the underlying clause. Approved suggestions return through Office.js as ordinary tracked changes with explanatory comments, and the privacy mapping restores original names and values. Users supply their playbooks, precedents and clause language, then review output within the same document. Standard setup requires Microsoft Word and includes onboarding support. Integrations with systems such as iManage belong to the separately quoted custom workflow offer; they are distinct from the detailed, standard Word editing connection.
The iManage connection starts from Add from iManage in Ask or an Associate Project and authenticates the user's account once. The same connection then works in Word and Associate. Users select files through the attachment control or project file list; selected content becomes available as chat context or project references without a manual download. Answers cite the imported contracts, and precedents can guide review of incoming paper. Existing iManage permissions and ethical walls govern file access. The connection describes movement from iManage into Spellbook's working context; it does not promise automatic return of revised files to the source repository.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The standard service combines a Word add in with a hosted analysis pipeline. Sensitive entities can be replaced locally before sanitized text reaches ContractKen's servers and external AI providers. Primary hosting is on AWS, with European Union or United States residency available on request. Regulated teams can obtain private inference in their own Azure tenant or virtual private cloud, and enterprise customers can supply an endpoint. These options distinguish local preparation from remote analysis. Exact cloud regions, the location of every provider's processing and the configuration or price differences between residency choices are not specified.
Spellbook uses AWS as its primary cloud provider and states that customer content is stored and processed in Canada and the United States. Third party model requests are handled under zero retention agreements with OpenAI and Anthropic, while Spellbook itself has separate retention rights for quality and abuse monitoring. The Word add in and Associate connect to shared cloud services, including optional sources such as iManage. The public description identifies storage and processing countries but does not offer a per tier residency selector or a dedicated customer deployment. A source system's location therefore does not confine every later processing step to that same location.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
ContractKen describes SOC 2 Type II certification as in progress and its controls as aligned with ISO 27001 and ISO 27701. The security FAQ also mentions a report under a nondisclosure agreement, without identifying a completed audit period or service scope. Encryption, tenant isolation, administrator authentication, annual independent penetration testing and customer audit access are separate operating controls. Penetration test summaries and a security paper are available on request. Its own certification remains unfinished, without a dated independent audit, a named auditor or a defined assurance scope covering the ContractKen service.
Spellbook states that it is SOC 2 Type II compliant and provides a trust portal for reports, processor information and compliance resources. Its security program uses encryption, Microsoft identity controls and agreements governing model providers. The public security explanation also describes HIPAA support through business associate agreements where appropriate and a legal opinion on EU AI Act classification. These are different assurances with different scopes. The accessible product explanation does not establish the current SOC audit period, auditor and full service scope. The named SOC standard therefore supports a specific certification claim without treating every resource or regulatory statement as an equivalent independent security audit.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The architecture identifies DeBERTa for clause classification and natural language inference, plus spaCy and custom entity types for recognition. Generative models handle explanations and edits after retrieval from approved material. The security FAQ names OpenAI and Google as example API providers, while enterprise customers can bring their own endpoint. Routing selects models by task and can change as performance improves. Exact generative model families, versions and processing regions are not specified. The 30 day notice commitment concerns material changes to data handling or service levels, rather than every substitution of a model in the pipeline.
Spellbook names OpenAI and Anthropic as language model suppliers and uses zero retention agreements that keep request and response content in memory for processing rather than persistent storage at those providers. AWS is the primary cloud provider, and storage and processing are described in Canada and the United States. The trust portal lists processors and records updates when suppliers change. Exact production model versions and a routing map for each feature are not specified. A public processor update history is not an explicit commitment to notify every customer whenever a model version or deployment location changes within the same supplier.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
The standard Word subscription costs $149 per user per month on monthly billing or $119 with annual billing. It has no minimum seat requirement and includes unlimited review and redlining, a clause library, playbooks, formatting, onboarding and training. A guided trial lasts 14 days, and cancellations or seat reductions can receive a prorated refund. Custom AI and workflow projects use a quoted proof of concept lasting eight to 12 weeks, including usage and customization. Standard installation is included; custom implementation support is also described as included, but the project fee and enterprise deployment price are not stated.
Spellbook prices the suite according to the number of team members on a license. Law firm and in house packages both include the Word add in and Associate, training and online support, with dedicated support for teams above ten. The in house offering includes a playbook build service. A seven day trial is available, with extended trials possible for larger organizations. Subscription amounts remain custom rather than a public per user rate. The terms describe annual renewal by default and included maintenance and support, but the price of a particular deployment and any separately agreed services remains part of its order.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Law firms and internal legal teams can review commercial agreements, draft from prior transactions and maintain shared negotiation language. Examples include nondisclosure, service, software, employment, supply, lease and acquisition agreements. Prebuilt clauses cover common law jurisdictions including the United States, United Kingdom and Australia, with jurisdiction notes and tags for custom language. Separate playbooks can serve different teams, contract types or jurisdictions. Multilingual review is described broadly, but a tested language matrix and unsupported practice boundaries are not specified. The product centers on transactional drafting and negotiation; its clause guidance does not establish a general legal research or litigation service.
Spellbook separates law firm and in house packages and organizes its principal tools around transactional drafting, review, negotiation and questions about agreements. Associate extends work across several files, and iManage access allows firms to use existing contract precedents. Industry material covers energy, healthcare, finance, technology, manufacturing and consumer businesses. The legal data connection adds government and court sources across many regions, but that source breadth does not establish tested competence in every practice. The terms warn about non English results, while Autonomous Contract Management remains in early access. A complete account of unsupported jurisdictions or specialized legal tasks is not specified.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
Section 8 permits review or editing of content for "operating and improving the Service" without a model training exclusion. The security FAQ excludes training public or shared models, while the architecture describes aggregated lawyer feedback used in controlled retraining and private customization. Another statement says no customer data trains models. The Enterprise Services Agreement may supersede the general terms, but its training clause is not available in the public agreement.
The terms prohibit third party models from retaining or training on customer content. Spellbook itself may process deidentified customer material to improve that customer's features and calibrate personalized systems, without using that personalization for other customers. It can also evaluate prompt and system improvements through limited quality monitoring. These own service improvement permissions are distinct from the provider prohibition and do not require a separate opt in in the standard agreement.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Administrators may request immediate deletion of contracts, prompts, logs and backups. The security FAQ gives operational logs a 30 day default and allows that period to be set contractually to zero. It does not separately define a default window for application prompts or generated answers. The privacy policy's period after account termination concerns personal information and does not establish how long AI interactions remain during active use.
Model providers handle request and response content in memory under zero retention agreements. Spellbook may keep quality assurance inputs and outputs for up to 90 days, and self service abuse monitoring data for up to 30 days, with investigation and legal exceptions. Those are specific secondary uses rather than a stated ordinary lifetime for all application history. Deletion and return provisions do not establish a configurable zero history setting.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Customer tenants are logically separated and use individual encryption keys. Enterprise roles control who uploads playbooks, reviews drafts or exports information, and shared precedents are available to authorized team members. These controls separate organizations and administrative activities. A permission model that divides opposing matters within one firm, or carries a connected document system's ethical walls into retrieval at query time, is not specified in the standard Word workflow.
The iManage integration applies existing iManage permissions and ethical walls to file access inside Spellbook. A user authenticates the source account once, then selects permitted files for Ask in Word, Ask in Associate or an Associate Project. Selected material becomes context for answers and review. This protection is specifically described for the iManage connection; it does not establish the same permission inheritance for every optional storage connection.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The terms allow ContractKen to preserve or share information when reasonably necessary for legal process, law enforcement and protection of rights or safety. The privacy policy also permits disclosures in response to legal requirements. Neither sets out advance customer notice for a subpoena, a process for challenging a request or a transparency report. The separate security incident notice commitment concerns breaches and does not supply a legal demand notification policy.
Spellbook's terms require prompt notice of a legal or government demand for customer data and reasonable cooperation with efforts to obtain a protective order or contest disclosure. The confidentiality provisions also address compelled disclosure and protection of privileged material. These contractual steps give the customer an opportunity to respond to a demand. A published report enumerating government requests and their outcomes is not specified alongside that commitment.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Review and drafting use the customer's playbooks, clause library and prior agreements. ContractKen also supplies a library of commercial clauses and describes bundled language as authored internally, licensed or drawn from public domain material. Individual external sources and their rights are not listed, nor is an update schedule for a primary law corpus. Jurisdiction notes and refreshed sample language support drafting without establishing a comprehensive collection of legal authority.
The legal data connection names public sources including CanLII, Cornell Law, CourtListener, EUR Lex, BAILII and national government registers. Spellbook retrieves material directly from each source of record and follows its update cadence. The same workflow can use the customer's own contracts and iManage precedents. The named source list makes jurisdiction coverage inspectable, but does not state an individual license or public domain basis for every external collection or its separate market benchmark data.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
ContractKen can flag a precedent that no longer matches the team's current playbook and replace language from the approved clause library. It also traces generated clauses to their inputs. These checks concern contract standards and provenance, rather than the subsequent treatment of a judicial decision. A commercial citator connection, a method for checking whether authority has been overruled or an inline legal status warning is not specified.
Spellbook's legal data feature returns citations to public case law, statutes and registers, with currency tied to the operator of each source. Ask, Draft and Review can use that authority within the contract workflow. The feature does not describe a licensed citator or a method for checking subsequent judicial treatment of a case. A current link to the underlying decision is therefore separate from a signal that its legal proposition remains reliable.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The interface flags low confidence suggestions and gives reviewers supporting sources, explanations and control over proposed edits. Playbook thresholds identify unacceptable negotiating positions and can send those issues to a partner. That escalation is about contract risk rather than unsupported answers. An explicit refusal response when retrieval cannot support a generated conclusion, or a published demonstration of the system declining such a question, is not described.
Source citations and selected precedent files provide context for Spellbook's answers and proposed redlines. A lawyer can inspect that material and accept or reject suggested changes. The product does not describe an automatic no answer response, an exposed confidence threshold or a required escalation when available material cannot support a conclusion. A contractual warning about unreliable output assigns verification to the user rather than defining an abstention mechanism.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database has no entry naming ContractKen as the tool behind fabricated legal citations as of October 15, 2026. Its stated work centers on contract drafting, clause review and proposed Word edits, with the lawyer approving changes. This court record concerns one specific kind of incident; it does not establish an error rate for those tasks or validate the accuracy of the current models.
Youssian v Village of Kings Point, 2026 NY Slip Op 26150, Supreme Court of New York, Nassau County, September 9, 2026, addresses counsel's fabricated quotations and misrepresented holdings. The opinion recounts counsel accepting Spellbook AI changes without repeating a citation check. It sanctions counsel $5,000, awards $10,000 in fees and strikes both petitions. The findings concern the lawyer's verification and response to the errors; the product attribution appears in counsel's explanation.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The Moderation Layer explanation addresses ABA Formal Opinion 512 and connects its confidentiality duties to local masking, user previews and logs of external AI requests. It discusses informed consent and also references several state bars, the SRA and the CCBE. It does not map the product to named opinions in multiple jurisdictions. These statements explain ContractKen's approach; they do not guarantee privilege or establish that every deployment satisfies a lawyer's duties.
Spellbook's educational material addresses competence, candor and checking AI output in general terms, and the company has a relationship with the Canadian Bar Association. Its terms also require appropriate legal review and distinguish output from formal advice. Those positions concern professional responsibilities, but the available account does not map the suite to a named ethics opinion or a set of jurisdiction specific bar requirements. A partnership alone does not supply that mapping.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The privacy workflow logs who triggered AI analysis, what information went to which provider and when. Enterprise administrators can export document activity and enable prompt history exports, while Word preserves accepted edits and comments. These records identify parts of the assisted work performed on an agreement. ContractKen also markets shorter drafting and review times, but gives no corresponding guidance on recording billable hours, charging clients or disclosing the effect of those savings.
Spellbook presents the law firm suite as a way to improve profitability and the in house suite as a way to retain more work internally. Customer stories describe time savings, including Panasonic's RFP process. The product's per user subscription is separate from a lawyer's charges to clients. A matter level invoice record of AI assisted time or instructions for disclosing those savings on a client's bill are not described in the current pricing offer.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
ContractKen offers a DPA, current subprocessor register, security paper, data flow diagram and insurance certificates on request. Some assurance materials require a nondisclosure agreement. Its public security FAQ explains tenant separation, model provider restrictions and purge options, but is not a complete provider list or a client consent package. A firm can begin its assessment from those commitments, while the detailed materials for a client's AI requirements require direct contact.
Spellbook identifies OpenAI and Anthropic, provides a processor register and explains provider retention and training restrictions. Its security resources address SOC 2 Type II, HIPAA support and an EU AI Act opinion, while the agreement covers privileged information and legal demand notice. Those materials support a firm's client review. They do not form a single client consent pack, and the firm's account must distinguish provider restrictions from Spellbook's own personalization and monitoring permissions.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Anonymized versions and interaction logs preserve the information sent to AI providers, while drafting identifies source clauses and Word retains accepted edits. Administrators can export activity logs and prompt history. These provide pieces of an explanation of how an agreement was produced. A single export tying each generated passage to the exact model version, retrieved sources and a named human verification step for a court certification is not specified.
Word review retains proposed tracked edits, and answers based on contracts or public legal data include source citations. Those features preserve portions of the review process and allow a lawyer to check supporting material. An export combining exact model version, retrieved sources and human verification for each generated passage is not described. The available editing and citation records are therefore partial support for an account of AI use rather than a complete court certification package.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
Which one fits
Choose ContractKen if
- The priority is playbook driven negotiation with explicit fallback, walkaway and escalation positions in Word.
- You want local masking and restoration of sensitive terms as part of the configured model request process.
- A published standard review price is more useful than scoping the initial purchase through a team quote.
Choose Spellbook if
- Your firm already uses iManage and needs the existing file permissions and ethical walls to govern access from the assistant.
- Work regularly spans several agreements or requires cited access to named public legal sources within the drafting workflow.
- The current Word and Associate suite fits the project, while the early access lifecycle offering can remain a separate decision.
In summary
ContractKen
ContractKen combines playbook review, comprehensive clause analysis and drafting from source material inside Word. Preferred terms, fallbacks, walkaway positions and escalation limits guide proposed edits. The AI Legal Index identifies its local masking and restoration of sensitive terms as a different approach to controlling the material sent for model processing. Its standard Review plan has a published price and unlimited review and redlining, with private enterprise inference available by arrangement. The current service does not describe an equivalent iManage permission inheritance flow. ContractKen's improvement rights and unfinished SOC 2 Type II certification work remain relevant alongside its privacy and editing features.
Spellbook
Spellbook puts drafting, review and questions into Word, with Associate handling work across several files. It connects to iManage and to named public legal sources such as CanLII, CourtListener and EUR Lex. The AI Legal Index identifies its inherited iManage permissions and ethical walls as a concrete advantage when a firm wants to reuse existing precedents without creating an unrestricted parallel library. Pricing is based on team members and requires a quote. OpenAI and Anthropic operate under no training and zero retention terms, while Spellbook itself has limited personalization and monitoring permissions. Autonomous Contract Management is still in early access and should be considered separately from the existing suite.
Questions buyers ask
Does Spellbook preserve iManage ethical walls?
Its integration guide says existing iManage permissions and ethical walls govern file access inside Spellbook. Users authenticate once and select files for Ask or an Associate Project. That statement is specific to the iManage connection, not proof that every optional connector behaves identically. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
What did the Youssian decision say about Spellbook?
The September 9, 2026 Nassau County opinion recounts counsel using Spellbook and accepting edits without a fresh citation check. It addresses fabricated quotations and counsel's conduct, imposing sanctions and fees and striking the petitions. It is not an evaluation of the current suite or a finding of general product accuracy. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Is Spellbook's Autonomous Contract Management already part of the standard suite?
It is described as early access. The existing suite consists of the Word tools and Associate. Early access lifecycle functions should not be assumed to have the availability or contractual treatment of the established products. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Do the no training promises cover every use of content?
Spellbook prohibits its model providers from training on customer material, but its own terms permit limited customer specific personalization and quality monitoring. ContractKen restricts public or shared model training while reserving service improvement rights. Those are distinct scopes rather than identical blanket prohibitions. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Neither vendor reviewed this comparison. The cited court matter is Youssian v Village of Kings Point, 2026 NY Slip Op 26150, Supreme Court of New York, Nassau County. Its findings address counsel's verification and response to errors.