ContractKen vs Robin AI: how they compare in 2026
Robin is a better fit when the current review is one part of a continuing contract intelligence process: answers across the corpus, metadata extraction, related agreements, obligations and reminders. Its Word integration can return revised work to that wider platform. ContractKen fits a lawyer who chiefly needs drafting, clause analysis and controlled revisions in Word, with local masking built into a configured processing flow. Their agreements also require different readings. Robin expressly authorizes training in its standard terms while restricting personal data through its DPA; ContractKen reserves service improvement rights and describes private learning separately from shared models. Neither can be summarized as forbidding every use of client material for improvement. Published pricing favors a straightforward initial estimate for ContractKen, while Robin requires a scoped subscription quote.
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.
Models interpret agreements, answer questions, extract metadata, compare precedents and generate proposed edits across Robin's legal intelligence platform. Pinpoint citations lead from an answer to the underlying contract, and legal research can reach public authorities. These are central reasons to use the software. The current platform also manages a corpus of contracts and their relationships, tasks, reminders and obligation dashboards. Those record and workflow functions can still organize legal work without generating a new answer. The separate managed services offering adds human contract work, while the platform combines model driven analysis with continuing contract operations rather than only a standalone drafting assistant.
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.
Robin connects generated answers to pinpoint citations that open the underlying primary contract. Corpus analysis draws on the customer's agreements and precedents, with relationships among contract families available for comparison. A separate legal research feature reaches public authoritative sources. This gives reviewers a way to inspect the basis of a contract answer, rather than accepting an unsupported response. No reproducible accuracy study, hallucination rate or evaluated language set accompanies the current platform. The claimed coverage of more than 200 languages describes availability, not equivalent reliability across them, and no automatic subsequent treatment check for cited legal authority is specified.
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.
Robin supports live contract editing against the customer's precedents and returns answers with citations that a reviewer can open. Its Word workflow presents proposed changes and comments for a lawyer to consider, while the managed services offering adds human legal professionals as a separate service. Obligations can be organized into tasks and reminders, and structured metadata can be tailored to business requirements. These surfaces make review and follow up possible. A precise boundary at which the system must decline a task, stop a proposed action or escalate an unsupported conclusion is not specified for the current legal intelligence platform.
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.
Robin advertises faster contract review and shows customer, media and investor names alongside its platform. The detailed speed claim in its earlier product material came from the vendor's own legal team testing its add in, rather than a defined external customer study. Its current platform describes corpus review, metadata extraction and obligation management, but does not attach a dated evaluation protocol to those outcomes. Press coverage and financing explain the company's visibility; they do not establish how a particular customer's review process changed. The headline efficiency claim therefore remains distinct from a measured deployment with an identified workload and baseline.
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.
The service terms impose confidentiality duties on people and subcontractors who need customer material. The DPA requires customer instructions for personal data and supports deletion, audit and prior notice of legally compelled disclosure where permitted. Tenant identifiers, role controls and authorization for support access separate customers and restrict staff access. The security page requires express consent for model training, but the service terms authorize training and improvement using inputs, outputs and user content. The DPA gives personal information narrower processing protections. Privilege and work product are not expressly addressed, and organization isolation does not establish ethical walls between matters within a firm.
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.
Robin's terms distinguish the software from legal advice and from legal services requiring professional authorization. Users remain responsible for deciding whether generated material is suitable and for checking mistakes. The platform gives lawyers pinpoint contract citations and editable proposals, while a separate managed services line adds people to contract review. These are distinct delivery arrangements rather than an assurance that every automated answer has received legal advice. The general software terms do not define a jurisdiction specific practice boundary or map the tool to a lawyer's competence obligations. Business customers may use it across jurisdictions unless a separate agreement narrows that scope.
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.
Robin's DPA commits to designing and testing software so its operation is sufficiently transparent for customers to understand and use. The current platform supports verification through primary contract citations, and the security program includes testing and corrective action for data protection controls. Those commitments do not set out an AI governance framework with named responsibility, a release evaluation process or results on uneven output across languages, matter types or populations. The advertised language breadth makes the distinction relevant: supporting an interface or producing an answer in a language does not establish tested reliability for legal work in that language.
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.
Robin's DPA specifies four access roles, single sign on, multifactor authentication, tenant identifiers and permission checks on API requests. It names eight processors, including AWS, Anthropic, Bedrock, SageMaker, Snowflake and operational analytics services. Customer data incidents require notice within 72 hours of awareness, with investigation assistance and costs allocated by responsibility. Backup recovery keeps 30 days of history, while requested deletion receives confirmation within 60 business days. Those periods cover particular copies or deletion handling, not an ordinary retention limit for every prompt and output. Logs, support access and model processing remain subject to the DPA's confidentiality and access controls.
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.
The service terms include a Robin indemnity for specified patent, copyright and trade secret claims against the authorized service. Customer content, modifications and unapproved combinations fall outside that protection, with modification, replacement or a proportionate refund among the available responses. Generated output is not guaranteed accurate, and Robin disclaims responsibility for errors in it. The DPA separately requires assistance and reimbursement of reasonable incident response expenses when Robin causes the data incident. A numerical general liability cap is not stated in these standard terms. The protections therefore address defined platform and data risks without promising compensation for an incorrect legal answer.
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.
Robin's Word add in opens from the ribbon after installation and connects through the user's account or single sign on. Ask reads the current agreement, Draft creates text for insertion, Edit changes a selected passage and Research adds links to legal sources. A reviewer selects the playbook and accepts, refines or rejects tracked edits in Word. Saved changes synchronize back to the Legal Intelligence Platform for portfolio reporting and later precedent use. The integration preserves the distinction between user and counterparty edits. The wider import connectors are not named on the platform overview, so these specific controls concern the Word connection.
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.
Robin uses AWS infrastructure with tenant identifiers to isolate customer data and geographically distributed storage for resilience. The DPA permits necessary processing in the United States, United Kingdom, Singapore, South Africa, Australia and Germany, and in other jurisdictions where service delivery requires it and appropriate safeguards apply. It expressly recognizes transfers for language model interactions. These are permitted processing locations, not a menu of selectable hosting regions. Anthropic Claude through Amazon Bedrock is described within isolated tenant contexts. No customer residency selector or contractual promise confining every storage and inference step to one selected country is specified.
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.
The DPA identifies SOC 2 Type II, ISO 27001:2022 and Cyber Essentials as validating Robin's security measures. It also provides for annual audits on customer request, access to relevant confidential reports and correction of exceptions. Controls include multifactor authentication, tenant segregation, immutable logging, encrypted backups and tested recovery. Report availability at the linked trust center is unknown. The accessible agreement does not identify the audit coverage period, assessor or certificate scope. Its specific standards are more informative than a general security badge, but do not independently establish the current attestation's boundaries.
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.
Robin's DPA names Anthropic as an API supplier, Amazon Bedrock for model hosting and Amazon SageMaker for model training and deployment. Its technical annex explicitly describes Anthropic Claude processing through Bedrock in isolated tenant contexts. AWS supplies the cloud environment, while separate named services handle analytics and operations. Changes to the processor list receive notice through website updates or other communication channels, with an objection route. Exact production model versions and routing by feature are not identified. A processor change mechanism does not guarantee that customers receive notice whenever a model version changes within an existing provider.
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.
Robin's service terms describe a subscription with authorized user licenses, fees governed by the service agreement and billing arrangements for access. That identifies both the commercial structure and the access unit, although the public platform sends prospective customers to a demo rather than showing a rate. A free trial is governed by separate data handling conditions and does not establish the price of a paid deployment. Managed services are an additional delivery option, with their scope and fees requiring agreement. No public subscription amount, implementation charge or complete price matrix accompanies the current legal intelligence platform.
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.
Robin's platform is organized around contract review, precedent reuse, corpus analysis and obligation management for legal operations. Teams can examine regulatory questions across their agreements, identify relationships among contract families and extract metadata tailored to their business. Managed services add human help with contract work, and the product is offered to corporate legal teams and firms. Language support extends beyond 200 languages, but the platform gives no corresponding jurisdiction by jurisdiction evaluation or reliability boundary. Its stated tasks are concrete commercial contract workflows; that breadth does not establish coverage for every specialist practice, court process or regulated advisory role.
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.
Robin's security page requires express consent before training or feature development uses customer data. The standard terms nevertheless authorize storage of inputs and outputs for training and allow user content to improve services, including models. The DPA limits personal data to instructed business purposes and permits aggregate improvement data. These provisions have different scopes; the standard terms do not supply a blanket prohibition on training with all nonpersonal customer content.
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.
The terms acknowledge storing inputs and outputs, including for training. The DPA calls for return or destruction at termination, subject to technical feasibility and legal retention, and confirmation within 60 business days after a deletion request. Backups retain 30 days of recovery history. Those periods concern requests and backup copies rather than a defined active lifetime for the primary prompt and output history. A configurable zero history setting is not specified.
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.
Tenant identifiers and customer specific API tokens isolate one organization from another. Four application roles, least privilege and prior authorization for support access restrict who can handle customer content. The technical annex also places model processing within isolated tenant contexts. It does not describe an internal client matter wall or an integration that preserves a legal document management system's per user restrictions when retrieving contract material.
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.
The DPA requires Robin to tell the customer before a law, court or regulator compels processing or disclosure of personal data, unless notice is legally prohibited. The customer must have an opportunity to object or challenge the demand. General service confidentiality permits legally required disclosure, so the explicit prior notice protection is clearest for personal data under the DPA. A transparency report listing government demands is not specified in these provisions.
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.
Robin grounds contract questions in the customer's agreements and precedents, with pinpoint links back to the underlying material. Its legal research feature also reaches public authoritative sources, but does not identify a complete inventory of those collections or their licenses. Customer agreements provide a recognizable source for contract analysis. That does not establish the provenance, update cadence or rights basis of all external legal material behind research answers.
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.
The platform gives pinpoint links to underlying contracts and can answer questions using public authoritative legal sources. Those links let a reviewer inspect cited material. A licensed citator, subsequent history signal or automated method for checking whether a judicial authority remains reliable is not described. Contract precedents and related agreement analysis concern the customer's own transactions and do not provide that separate legal treatment check.
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.
Robin presents linked citations and lets lawyers inspect and edit proposed contract work. Clause risk indicators concern the legal significance of a provision rather than a measured probability that an answer is correct. The current platform and standard terms do not define a no answer response or a confidence threshold that stops generation when support is insufficient. Responsibility for validating the output remains with the user.
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.
The AI Hallucination Cases database contains no tool entry naming Robin AI as of October 15, 2026. The platform combines contract review and corpus questions with legal research using public authorities, so it can produce legal assertions even when its main workload is transactional. The database result concerns named court records, not the accuracy of those assertions or the reliability of every cited source.
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.
Robin's software terms distinguish the service from legal advice and regulated legal services. The platform supports checking through linked contract citations, and its educational content concerns contract workflows and adoption of legal AI. A named bar ethics opinion or regulator's professional guidance is not mapped to the product's use in the available account. These product and contractual responsibilities do not by themselves explain a lawyer's jurisdiction specific duties.
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.
Robin advertises faster review and reduced manual contract work for legal teams. The platform's tasks, reminders and obligation dashboards organize legal operations after analysis, but are not described as a client invoice record of AI assisted work. Its subscription and managed services prices are commercial charges for the product. No stated method connects the time saved by a firm's reviewers with how that firm bills or discloses the work to clients.
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.
The DPA lists eight processors with their functions, including Anthropic, Bedrock and SageMaker for model related services. It also states confidentiality, breach notice, deletion handling and permitted cross border processing. Those provisions give firms concrete material for a client's AI review. The DPA supplies these details even though access to further trust portal reports remains unverified. A single assembled client consent or notification pack is not specified, and standard training permissions still require attention to the agreement's scope.
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.
Contract answers include pinpoint citations that a reviewer can open, and the technical annex records input activity with tenant context. Access and processing records can support a review of what happened in the service. The platform does not describe a per passage export combining exact model version, retrieved sources and human verification. Its contract record and system logging therefore supply parts of an audit trail rather than a complete court disclosure certificate.
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.
- Ethical Walls and Matter Segregation
- Good Law Verification
Which one fits
Choose ContractKen if
- Lawyers primarily need to draft and negotiate inside Word, with clause level review rather than a new portfolio operating system.
- Your deployment calls for configurable local masking of sensitive terms before external model processing.
- A public standard review rate and unlimited review allowance are useful for estimating the initial purchase.
Choose Robin AI if
- Review should feed contract family analysis, metadata and a continuing obligation management process.
- Word changes need to return to a central legal intelligence platform for later precedent use and reporting.
- A DPA with named model services, access roles and a specific incident notice period is part of the evaluation.
In summary
ContractKen
ContractKen reviews and drafts in Word through firm playbooks, comprehensive clause analysis and targeted edits. Its drafting workflow can bring together precedents, term sheets and other source material, while negotiation rules define fallbacks and escalation. The AI Legal Index identifies its local Moderation Layer as the distinct control that masks sensitive terms before configured processing and restores them afterwards. Standard Review has a public per user rate and unlimited review and redlining. ContractKen also offers private inference arrangements, but its general service improvement permission remains relevant. The standard agreement does not include every warranty or indemnity described in the enterprise security FAQ.
Robin AI
Robin AI combines live contract editing with questions across an agreement corpus, structured metadata and ongoing obligation management. Answers link to pinpoint passages, and Word changes can synchronize back to the Legal Intelligence Platform. The AI Legal Index identifies that connection between edited agreements, precedent reuse and obligation tasks as a practical difference from a standalone Word review service. Robin's DPA names Anthropic Claude through Bedrock, tenant separation, access roles and a 72 hour incident notice obligation. The standard terms authorize training with inputs and outputs, while personal information has narrower DPA restrictions. Subscriptions use authorized user licenses, but the public service has no numeric rate.
Questions buyers ask
Can Robin move revised Word work back to its platform?
Yes. Its Word workflow describes saving or exporting changes and synchronizing them to the Legal Intelligence Platform for reporting, future precedent and auditability. The guide also distinguishes Ask, Draft, Edit and Research modes and leaves acceptance of edits to the reviewer. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
What does Robin say about where data can be processed?
The DPA names permitted jurisdictions, including the United States, United Kingdom, Singapore, South Africa, Australia and Germany, and allows other necessary processing with safeguards. This is not a customer selectable promise to keep all storage and inference in one country. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Does Robin's security promise settle the training question?
The security page requires express consent, but the standard terms expressly authorize training and improvement using customer content. The DPA gives personal data a narrower purpose limitation. The scope of those provisions matters; the security statement alone does not describe every contractual permission. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Which is easier to price before a sales discussion?
ContractKen lists standard Review at $119 per user per month with annual billing or $149 monthly. Robin defines subscriptions and authorized user licenses but gives no public amount. Custom deployments and managed services need separate commercial terms in either evaluation. 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.
Robin AI and ContractKen are separate vendors and did not review this page. Robin's trust domain was unreachable during the source review; certification claims here rely on its accessible security page and DPA.