Claren vs Summize: how they compare in 2026
Claren and Summize are both UK AI contract assistants for in house legal teams, working through the tools a team already uses. Each is stronger in a different place. Claren is stronger on professional responsibility and training. Its terms require review by qualified counsel before any output is relied on, warn non lawyers about unauthorized practice, and bar using customer data to train models. Summize's terms permit machine learning on aggregated, anonymized customer data, and carry no statement on legal advice, although it sells answers to sales, finance and HR teams. Summize is stronger on contract terms and reach. It indemnifies against intellectual property claims and caps liability at the greater of 100,000 pounds or 150 percent of charges. It runs inside Outlook, Teams, Slack, Word, Salesforce and HubSpot, and holds ISO 27001 certified by ISOQAR. Claren caps liability at the higher of 100 pounds or a year's fees and holds no certification of its own.
Which one fits
Choose Claren if
- You want the professional line drawn in the contract. Claren's terms require all outputs to be reviewed by qualified counsel before reliance, warn non lawyers that advising others with it may be unauthorized practice, exclude criminal and liberty matters, and name the jurisdictional limits between the US and UK.
- You want a contractual bar on training and named model providers. Claren's terms state that customer data is not used to train AI models, and its security page names OpenAI, Anthropic and Google, with zero data retention agreements with OpenAI and Anthropic and each provider's no training terms linked.
- You want data kept in a region you choose. Claren hosts in United States, United Kingdom or European Union data centers, offers regional residency to enterprise customers, gives each user a segregated data store, and deletes all content within 30 days of the contract ending.
Choose Summize if
- Your business asks contract questions in Outlook, Teams, Slack or Salesforce. Summize runs inside those tools and in Gmail, Word, HubSpot and Jira, so a salesperson can check renewal terms without leaving Salesforce, and it publishes a twelve week implementation model run in three to four week sprints.
- You want the vendor's liability to be worth something. Summize's terms give an intellectual property indemnity, cap general liability at the greater of 100,000 pounds or 150 percent of charges, set a higher cap for data breaches, and warrant the software free of material errors and defects.
- Your procurement team needs a verifiable certificate and price protection. Summize holds ISO 27001 certified by ISOQAR under UKAS accreditation, and its published terms cap any renewal price increase at 10 percent for the same plan.
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.
Every function Claren sells is a model output: redlining a contract in seconds with wording edited to the team's stated position, extracting key terms, and answering questions about a document with citations. There is no repository, workflow engine, matter system or document management layer that would survive the models being removed. The terms of service describe what is licensed as a software solution using artificial intelligence, and the product page markets an AI editor that goes from upload to redline with no setup and no plugins. Even the tiers follow model use: Pro is capped by chat and file upload volume, and higher tiers add AI playbook generation and custom term extraction. Without the models, an upload form remains.
The product comes in three layers, and only the third is AI. A Knowledge Layer holds playbooks and policies. A Contract Operations Layer runs the lifecycle from first request to signature inside existing tools. The agentic AI layer, SIA, is described as surfacing that knowledge as instant answers. Without SIA, a working contract request, repository and operations system remains, embedded in Outlook, Teams, Slack and Salesforce. Summize presents the layers as distinct, each one powering the next.
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.
Clause 3.4 of the terms says the solution may contain outdated or inaccurate information, is trained on historical data with knowledge cutoff dates, may not reflect recent changes in statute or case law, and may produce errors, omissions or misinterpretations of legal concepts that need correction by qualified professionals. Clause 3.4.3 disclaims any representation as to accuracy, completeness or adequacy. The marketing describes the product as built on trusted legal sources, understanding contracts like a lawyer does, and offering answers with citations. No accuracy figure, test set, evaluation, error rate or retrieval method appears anywhere. The trusted legal sources are never named, so what the citations point to beyond the customer's own uploaded document is not stated.
SIA is described as giving instant, reliable answers grounded in the customer's own knowledge and standards. That identifies the grounding source as the Knowledge Layer of playbooks and policies, but no retrieval method is described behind it. The security page says Summize evaluates the effectiveness, quality and security of its AI models on a consistent basis. No result, test set, cadence or scope is published for those evaluations. Summize publishes no accuracy figure. Its materials do not discuss hallucination or name a failure mode, and the published performance figures all measure speed and volume rather than correctness.
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.
Clause 3.3.1 of the terms says all information, documents, analyses and other outputs must be reviewed by qualified legal counsel before being relied on, implemented or used as the basis for any decision. Under clause 3.3.3 the customer acknowledges that Claren has expressly told it so. Clause 5.2.10 goes further for one category, barring submission of Claren generated documents to courts in criminal proceedings without independent attorney review. The product design supports this: the model produces a redline the lawyer accepts, rejects or edits, rather than writing to anything itself. There is no threshold at which the system acts alone, no confidence signal shown against an individual suggested edit, no abstention state, and no description of how a reviewer can tell a confident extraction from a marginal one.
Summize says the business becomes more self sufficient while legal remains in full control. It says questions that used to reach legal's inbox are answered instantly by the people who needed them. Its materials do not say what SIA answers alone and what a lawyer approves, and they state no threshold. The Word review workflow shows failed or missing clauses and lets reviewers accept, modify or reject AI recommendations. That control applies to contract review, while the materials do not explain how a wrong SIA answer is corrected.
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.
Eight customer logos are published and five testimonials carry a full name, role and organization: Alan Owens, Head of Legal at H&M V Engineering; Arvinder Mangat, General Counsel at Encompass; Carl Dunton, General Counsel at Peak Energy; Chantal Schofield, Knowledge Manager at Telecom Infrastructure Partners; and Jamie Todd, Commercial Counsel at ScreenCloud. Three of the five are the senior legal officer of the named company. One quote says the product helps spot what a reviewer might have missed when working at the edge of their knowledge. Another reports a lawyer asking after one week that it never be taken away. No figure attaches to any of them. Nothing is dated, no cycle time, volume or cost is given, and the company's own claims stay with unquantified language about hours saved and backlogs cleared. A case studies section and an ROI calculator are published.
Three named customers give attributed quotes. Steven McGeagh at Huel speaks to ease of adoption, Julia Trius at Edpuzzle to receiving agreements already in the required format, and Derek Ihnen at Boon Edam to reduced review time. Customer logos include Revolut, SeatGeek, Miami Heat, Matillion, Sigma Computing, CodeRabbit, KSE and IPC Systems. Summize cites three times faster contract creation, a 40 percent reduction in deal length, a 50 percent reduction in processing time and six times more contracts reviewed. It puts an NDA at two minutes against two hours. A 4,062 percent ROI is attributed to Nucleus Research, a named analyst firm. None of these figures is tied to a named customer or dated. Huel, Edpuzzle and Boon Edam each also have a case study page.
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.
Training is prohibited in the agreement itself, at clause 4.2.4. Segregation is documented: each user has a private and segregated data store on Neon, authentication and row level security for organization roles run through Clerk, and the security page says there is no cross contamination between client matters or organizations. The model provider question is answered directly, with zero data retention agreements in place with OpenAI and Anthropic and each provider's terms linked. Encryption is AES-256 at rest and TLS 1.2 or higher in transit. Privilege is addressed only as data being treated with attorney client privilege in mind, and work product is never mentioned. The confidentiality obligation at clause 12.1 reaches only information clearly labeled or identified as confidential, a narrower net than uploaded matter material would usually fall into.
Under clause 6.1 of the SaaS terms, Summize may store, transmit and process Customer Data only as needed to provide the services, and gets no other rights in it. Clause 6.2 requires physical, technical and organizational measures in line with good industry practice. Clause 6.5 imposes confidentiality with named exceptions. Clause 6.6 requires daily encrypted backups available to the customer on request, and clause 9.2 requires prompt deletion or return of all Customer Data at the customer's choice on termination. Summize says prompts, completions, embeddings and training data are exclusive to each customer and not available to OpenAI or used to improve OpenAI models. Clause 6.4 reserves the right to use Customer Data in aggregated, anonymized form to improve the software through machine learning, so the agreement permits training. Separation between customers is described as siloed AI, without detail on how it is enforced. Summize's published materials do not address privilege or work product.
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.
Clause 3.1 of the terms says the solution gives general information, is not a substitute for licensed legal counsel, does not provide legal advice, and creates no attorney client relationship. Clause 3.3 covers competence and supervision directly: all outputs must be reviewed by qualified legal counsel before reliance, and the customer acknowledges it was expressly told so. Clause 3.3.2 names the doctrine, cautioning users who are not licensed attorneys that use may amount to unauthorized practice of law if used to advise others. Clause 3.2 excludes a whole category: the product must not substitute for representation in criminal matters, active court proceedings or any matter where liberty is at stake, and will not draft court filings in criminal proceedings without independent attorney review. Clause 3.5 names jurisdictional limits, citing variation between the United States and United Kingdom and among states, territories and localities, and puts compliance responsibility on the user. The product is sold to in house legal teams and has no consumer surface.
Summize markets contract answers to people who are not lawyers, in sales, finance, HR and procurement teams. It says questions that used to reach legal's inbox are taken care of, giving the examples of a salesperson checking renewal terms and a CFO querying payment performance without involving legal. Its materials do not say what the output is and is not, and no disclaimer separates information from legal advice. There is no competence or supervision language, and no jurisdiction limit is stated, although customers are in the UK and the US. The SaaS terms contain warranties, indemnities and liability caps but no provision on legal advice. The website terms of use disclaim only the website. The marketing line that legal remains in full control describes workflow, not advice.
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.
No AI governance position is published. There is no responsible AI page, no principles statement, no named owner accountable for model behavior, no evaluation or testing regime before release, and no red teaming description. Nothing addresses bias, including whether redlining or risk flagging performs evenly across contract types, counterparty positions, languages or jurisdictions, and the product is marketed as working across several languages and jurisdictions. The security page concerns information security only. Clause 3.4 of the terms discloses accuracy limits.
The security page sets out four AI commitments, each in one sentence: siloed AI practices, regular assessments of effectiveness, quality and security, ongoing updates to AI capabilities, and a customer feedback loop. No one at Summize is named as accountable for AI outcomes. No testing regime before release is described, and no assessment result is published. Nothing addresses bias or uneven output across contract types or counterparties. The company's General Counsel has written an explainer on the EU AI Act, which comments on the regulation rather than describing Summize's own governance. ISO 27001 is an information security standard and does not cover AI governance.
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.
Retention and deletion are in the agreement rather than marketing. Clause 11.6 commits to deleting all content of the customer and its users within 30 days of the contract expiring. The security page adds that the terms and pilot agreements give a right to delete data at any time. Access control is described concretely: authentication and user management through Clerk, account specific sessions, authenticated API endpoints, row level security for organization roles, multifactor authentication for administrative access, production access on a need to know basis, background checks for staff with access to sensitive systems, and security training at onboarding and after. Suppliers are named: Neon for data stores, Clerk for authentication, and OpenAI, Anthropic and Google for models. Incident response procedures are said to carry SLA targets for acknowledgment, escalation and resolution, but no target is published and no customer notification commitment or timeframe appears. There is no formal subprocessor register with locations; DPAs are available on request.
On termination, clause 9.2 of the SaaS terms requires Summize to promptly delete or return all Customer Data at the customer's option. Retention after that is allowed only where law requires, and confidentiality obligations continue over anything retained. Clause 6.6 requires backups no less frequently than daily, secure and encrypted, in a commonly used machine readable format and available to the customer on request. Access control rests on ISO 27001, with DevSecOps practices and internal password, equipment and data confidentiality policies described. Clause 3.2 gives an annual audit right over user and password compliance. Summize states that it runs regular third party penetration testing. The agreement sets no retention period for the term itself, only for its end. No subprocessor list is published. Clause 8.4 refers to Appendix 3 as defining Sub-Processors, but the appendix is not included in the published document.
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.
Clause 10.1.2 of the terms, dated 11 April 2026, caps total liability at the higher of 100 pounds or the fees paid in the twelve months before the claim, so for a customer in its first months the ceiling may be a hundred pounds. Clause 10.1.1 excludes special damage, lost profits, lost savings, lost business opportunity, lost contracts, goodwill, corrupted data and wasted expenditure. Clauses 10.3 to 10.5 disclaim output directly: outcomes are for general information only, are not meant to meet professional requirements, and carry no warranty that they are accurate, complete or up to date. Claren also has no liability for the accuracy of customer content. Clause 9 runs the indemnity one way, from customer to Claren, and no vendor indemnity appears. Clause 10.2 preserves liability for death, personal injury caused by negligence, and fraud. No insurance position is published.
The SaaS terms give the customer an intellectual property infringement indemnity in clause 7.2, covering claims, liabilities, losses, damages and reasonable costs. Clause 7.3 sets one named carve out, for unapproved combinations. Under clause 7.4, which sets out how claims are handled, Summize may not settle without unconditionally releasing the customer. Each liability cap is the greater of a fixed sum or a multiple of charges, so the fixed sum sets a minimum. Clause 8.3 caps general liability at the greater of £100,000 or 150 percent of total charges. Clause 8.2 sets a separate, higher cap for breach of the security and data protection obligations, at the greater of £500,000 or 500 percent of total charges. Clause 8.1 preserves liability for willful misconduct, and clause 8.4 makes Summize liable for its subcontractors and subprocessors as for itself. Clause 3.6 warrants that the software meets its specification in all material respects and is free of material errors and defects. Clause 3.5 requires reasonable skill and care, clause 3.8 warrants against malicious code, and clause 7.1 warrants that Summize holds the rights to supply the service. The agreement does not disclaim output accuracy, and Summize publishes no insurance position.
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.
Slack and Microsoft Teams are described in the agreement rather than marketing. Clause 2.4 says the solution is designed to fit into an organization's internal communication and workflow system such as Slack or Teams, and that Claren may require the customer to hold an active account with one. It also says Claren may access the customer's Slack or Teams account and the channels it is told to access, and deliver content or outcomes through them. That states the direction of data and the configuration needed. The Pro plan lists 15 or more data integrations without naming one, enterprise single sign on and SAML appear at the tier above, and no document management, contract lifecycle, matter management or electronic signature product is named. There is no integrations page, API reference or developer documentation in the site navigation.
Summize works inside Outlook, Microsoft Teams, Slack, Gmail, Microsoft Word, Salesforce, HubSpot and Jira. It adds Summize Sign for e signature and a Claude integration, and each integration has its own dedicated page. The examples given are a salesperson checking renewal terms inside Salesforce and a CFO querying payment performance across the supplier base. Contract context and assistance are available in the tool, without a new login to manage. Summize says there is no separate platform to adopt. Implementation runs in sprints of three to four weeks under a methodology Summize calls HERO, with in house implementation staff. A full rollout typically completes within twelve weeks.
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 security page says cloud infrastructure is hosted in United States, United Kingdom or European Union data centers, with residency options for enterprise customers, and that all data including read replicas can be stored in a specific region on request. Tenancy is described through the data layer: each user has a private and segregated data store on Neon, with row level security for organization roles, though the platform is never called single tenant or multitenant. Where processing happens, as distinct from where data sits, is not stated. Models are called through the OpenAI, Anthropic and Google APIs and no location is stated for any of them, so nothing published confirms that inference stays in the European Union for a customer choosing residency there.
On its home page Summize says data never leaves the customer's environment, and its FAQ says the platform is built on Azure enterprise infrastructure. That names the infrastructure provider, but no region is given and nothing says where customer contract data is stored. The only published hosting location is in the website terms of use, which say the Website is hosted on servers in the United Kingdom. That covers the marketing site, not the software. Summize does not say whether the platform is single tenant or multitenant. Siloed AI, as Summize describes it, covers how prompts and embeddings are handled rather than a tenancy model.
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.
The security page says Claren is currently pursuing SOC 2 Type II and ISO 27001 certification, expected in Q2 2026, and separately that Claren uses SOC 2 compliant vendors and third party software providers. Both sentences say the same thing: the certifications belong to suppliers and to the future, not to Claren. The home page instead lists SOC 2 compliant among the reasons to choose the product, with no qualification, and the two statements conflict. Q2 2026 has passed with no published update. The supplier certification that is evidenced is Clerk's, with SOC 2 Type II and ISO 27001 and a link to its trust page, but nothing published extends that attestation to Claren's own systems. A trust center is said to be available on request, and no report, auditor, scope or period is published.
ISO 27001 certification is held, with a badge naming ISOQAR as the certification body and UKAS as the accrediting body. No certificate number, scope, statement of applicability, or issue and expiry dates are published, and there is no trust portal or route to a report. Penetration testing is described as regular and third party, with no firm or dates named. A security whitepaper by CTO Richard Somerfield is offered behind a form. Summize does not hold SOC 2. It says it audits infrastructure in line with standards including SOC II and intends to work toward SOC II accreditation.
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 security page says Claren uses models from OpenAI, Anthropic and Google through their APIs, and the latest open source models on request. Each provider's own no training position is cited with a link: OpenAI's enterprise privacy policy, Google's Gemini API additional terms and Anthropic's privacy terms. OpenAI's abuse monitoring retention of up to 30 days is disclosed, and Claren says it has zero data retention agreements with OpenAI and Anthropic. No model or version is named, only the provider, so which model performs a redline is not stated. Where inference runs is never stated. No commitment to notify customers if a provider, model or arrangement changes is published, although the open source option is offered on request.
The security page names OpenAI and states that customer prompts, completions, embeddings and training data are not available to OpenAI or used to improve OpenAI models. The FAQ adds that SIA is built on Azure enterprise infrastructure. No specific model or version is named, and Summize publishes no commitment to notify customers when a model or provider changes. No subprocessor register is published. Appendix 3, cited in the agreement as defining Sub-Processors, does not appear in the published text.
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.
Three plans are published with names and contents. Pro carries unlimited chats, 100 chat file uploads, 100 data room uploads, AI redlines, a prompt library tuned for legal work, 15 or more data integrations and a Slack community. Scale-Up adds enterprise single sign on and SAML, a dedicated support manager, AI playbook generation, custom contract term extraction and data partitions. Enterprise adds AI training sessions every two weeks, enterprise permission and access controls, managed onboarding, direct access to the AI team and priority input on the roadmap. No figure appears at any tier, and every call to action asks for a demo. A closing note says plans are based on average document usage and that packages and pricing vary by workflow and document volume. So volume drives the bill, and what a unit costs or what is included beyond the upload caps is not stated. An ROI calculator is published.
The pricing structure sits in the published SaaS terms, and the site has no pricing page. The terms define the Order Form as setting out user numbers and the type of software license, so the charge is per user by license type. The initial term renews automatically for twelve month periods unless 90 days' written notice is given. Clause 2.2(b) limits any renewal increase to 10 percent over the previous twelve month term for the same plan, tier and package, unless a higher cap is agreed. Payment is due 30 days from a valid invoice. Fees exclude VAT and sales tax but include other taxes, and expenses need prior written approval. No figure, band, tier name or feature split is published.
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.
Supported work is clear: contract review, redlining, key term extraction and document question and answer for in house legal teams, across several languages and jurisdictions, with named customers in energy, telecommunications, retail, technology and drinks. The exclusions are explicit and come from the agreement. Clause 3.2 puts criminal matters, active court proceedings and any matter where liberty is at stake outside the product entirely. Clause 3.5 says the product may not account for specific jurisdictional requirements or recent changes in local law, naming the United States and United Kingdom and variation among states and localities. No firm segment or size is stated, law firm use as against in house use is never addressed, government legal work is not mentioned, and no contract type is named as unsuitable.
Five buying teams (Legal, Sales, Finance, HR and Procurement) and eight sectors each have a dedicated page. The sectors are Software, Sports, Finance, Manufacturing, Business Services, Media and Internet, Retail and Telecommunications. Four use cases are published as request, review, repository and analytics. NDAs are named as a specific contract type with a stated handling time. The buyer is a corporate in house function rather than a law firm, and law firms are neither claimed nor excluded. No organization size is stated, and no contract types beyond NDAs are listed as supported. Government use is not addressed, and nothing says where the product stops.
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?
Clause 4.2.4 of the terms of service, effective 11 April 2026, says Claren does not use customer data, inputs or any information the customer provides to train artificial intelligence models or for any other commercial purpose unrelated to the services. The security page adds that neither Claren nor its LLM providers train on customer data, that zero data retention agreements are in place with OpenAI and Anthropic, and links each provider's own no training terms.
Two qualifiers apply. Clause 7.4 grants Claren a nonexclusive, worldwide, sublicensable and nonrevocable license to use and reproduce customer material for purposes including improving the solution and the services. That improvement right sits beside the training ban, and neither clause reconciles them. The security page also makes an exception: data is not used to train models except to update the company's own Claren Memories or playbooks. That is personalization within the tenant rather than model training, but it is still a use of the content.
Clause 6.4 of the published SaaS terms reserves Summize's right to use Customer Data in aggregated, anonymized form to improve the Services or Software through automated decision processing or machine learning analysis. The clause applies despite the security and data protection clauses before it. It names machine learning and applies to Customer Data, and the anonymization qualifier does not remove the permission. The marketing statements concern outside models.
The home page promises a contractual guarantee that data is never used to train external models. The security page says prompts, completions, embeddings and training data are not available to OpenAI or used to improve OpenAI models. Clause 6.4, by contrast, permits Summize's own machine learning on aggregated, anonymized Customer Data. The marketing does not mention clause 6.4, and the clause does not carry the commitment on outside models.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
At the model layer the position is zero: Claren says it has zero data retention agreements with OpenAI and Anthropic. It discloses the one exception it does not control: OpenAI may keep API data for a maximum of 30 days for abuse monitoring before deletion, or where legal requirements apply. At the platform layer, clause 11.6 of the terms commits to deleting all content of the customer and its users within 30 days of the contract expiring.
The security page says the terms and pilot agreements give a right to delete data at any time. Retention during the subscription is not published: nothing says how long an uploaded contract, a generated redline or a chat is held while the account is live, and the Claren Memories and playbooks that the security page says are updated from customer data have no stated lifespan.
Backups are covered by clause 6.6 of the published agreement. It requires Summize to perform and maintain backups of all Customer Data no less frequently than daily, secure and encrypted, in a commonly used machine readable format and available to the customer on request. Clause 9.2 covers the end of the relationship. It requires prompt deletion or return of all Customer Data at the customer's option on termination. Retention after that is permitted only where and for as long as law requires, and confidentiality continues over anything retained.
The agreement does not state how long prompts, outputs or uploaded contracts are held during the term, and Summize describes no configurable retention window.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The security page says Claren uses Neon so each user has private and segregated data stores isolated from other users, that there is no cross contamination between client matters or organizations, and that audit trails are kept for user activities. Access control runs through a named supplier, Clerk, with account specific login sessions, authenticated API endpoints and row level security for organization roles. How it is run is not described: nothing says who sets a restriction, whether a matter can be walled off from named users in the same legal team, what a restricted user sees, or how a conflict is handled.
The security page describes siloed AI practices under which customer prompts, completions, embeddings and training data are available exclusively to that customer and not to other customers. The home page FAQ repeats this as a siloed AI approach that keeps each customer's prompts, data and outputs exclusive to them. Summize does not describe the isolation mechanism or the tenancy model. Beyond the agreement's user and password provisions, nothing says how access is administered. Nothing addresses separation between matters or contract sets inside a single customer.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Clause 12.4 of the terms allows disclosure of confidential information where required by law, by a governmental or regulatory authority or by a court of competent jurisdiction. To the extent legally permitted, the disclosing party must give the other as much notice as possible, and where notice is not prohibited it must take into account the other party's reasonable requests about the content of the disclosure. The obligation is mutual, so it binds Claren as recipient of the customer's material.
Two limits apply. There is no transparency report, no statistics on requests received, and no periodic disclosure of the types of demand. And clause 12.1 limits the confidentiality obligation, which this clause sits within, to information clearly labeled or identified as confidential, so how far the notice commitment reaches ordinary uploaded contracts is not clear on the face of the agreement.
Clause 6.5 of the SaaS terms requires both parties to keep the other's confidential information, expressly including Customer Data, confidential. Disclosure to a third party is allowed only if required by law or regulation, permitted in writing, or if the information has become public without default. The clause therefore covers compelled disclosure directly. The SaaS terms do not commit Summize to notify the customer of such a request, and reserve no discretion over notice either.
The agreement says a separate confidentiality agreement, if the parties have one, takes precedence over clause 6.5. Summize publishes no such template.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Claren's home page says it is built on trusted legal sources and understands contracts like a lawyer does, which asserts that something beyond the customer's own upload informs the output. No source, publisher, dataset, clause bank, license basis or jurisdiction coverage is named on the home page, the security page, the terms of service or in the site navigation. The operational description points the other way: redlines follow the customer's own stated position, playbooks are built from the customer's own material, and the security page confirms that company data updates the company's own Claren Memories and playbooks.
Whether the trusted legal sources are licensed third party content, the models' general training, or the customer's own precedent is not stated.
Summize grounds its answers in the customer's own Knowledge Layer of playbooks and policies and in that customer's contract repository, rather than retrieving primary law. It identifies no external corpus and names no external database, publisher or content license. No jurisdictional coverage is claimed.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The product does not retrieve or present primary law, and nothing published addresses checking authority for later history. Claren redlines contracts, extracts key terms and answers questions about uploaded documents. No case, statute or regulation is shown to a user in the published workflow, and the citations the product offers point into the customer's own document rather than to authority. The one related disclosure is clause 3.4.2 of the terms, which says the models are trained to a knowledge cutoff and may not reflect changes in statute, regulation or case law; that is an accuracy limit, not a citator position.
Primary law sits outside what Summize retrieves. It works on the customer's own contracts, playbooks and policies to answer contract questions and run the contract lifecycle. Checking authority for subsequent history does not arise for a product of this kind, and Summize publishes nothing on it.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Clause 3.4 of the terms says outputs may be outdated or inaccurate, the models have knowledge cutoffs, and outputs may contain errors, omissions or misinterpretations of legal concepts that need correction by qualified professionals. Clause 3.3.1 adds a human backstop by requiring review by qualified counsel before any reliance. Neither describes what the system does when it cannot ground an output. No confidence score is shown against a suggested edit or an extracted term, and no abstention or no answer state is described.
Nothing covers the ordinary failure cases for a contract assistant, such as a scanned or badly formatted agreement, a clause with no counterpart in the playbook, or a question the document does not answer.
SIA is described as giving instant, reliable answers grounded in the customer's own knowledge and standards, a claim about the normal case rather than the failure case. Summize does not say what the product does when it cannot ground an answer. It describes no abstention path, no behavior for when no answer is available, and no confidence or grounding measure shown to the user. Its materials, the dedicated security page included, do not discuss hallucination.
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 maintained by Damien Charlotin records no case naming Claren or WilsonAI, the name under which the company traded until its rename, and no court order, opinion or disciplinary record naming either is on the public record. This is a statement about the public record rather than a finding about the product. Claren redlines and analyzes the customer's own contracts rather than generating legal citations.
The AI Hallucination Cases database maintained by Damien Charlotin tracks decisions worldwide where a court addressed hallucinated AI content, and records the tool implicated where known. It records no court order, opinion or disciplinary record naming Summize. Summize is a corporate contract intelligence system rather than a litigation tool.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Clause 3.3.2 of the terms cautions users who are not licensed attorneys that use of the solution does not substitute for legal counsel and may constitute unauthorized practice of law if used to provide legal advice to others. Clause 3.5 acknowledges that legal requirements vary between the United States and the United Kingdom and among states, territories and localities, and places responsibility for jurisdictional compliance on the user.
Clause 3.2 excludes criminal representation entirely. No bar association, regulator, rule of professional conduct, ethics opinion or jurisdiction specific guidance is cited, and nothing maps the product's use against a named standard.
An explainer on the EU AI Act comes from Summize's General Counsel. It comments on the regulation and does not engage with bar or ethics guidance about Summize's own product. Its site and terms name no bar association, law society, regulator or ethics opinion. The buyer is a corporate in house function rather than a regulated practitioner in private practice.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The savings claims are unquantified but plain: hours back every week, a slashed contract backlog, and faster delivery without losing quality, with an ROI calculator on a separate page. Nothing addresses what happens to a bill when that work compresses. No per matter record of AI assisted work is described, no guidance on fee or disclosure treatment appears, and nothing says whether a redline produced by the model is identified as such in the document or its history.
The buyer here is an in house legal team, which pays outside counsel rather than billing a client, so the usual billing question does not arise in its ordinary form. Whether a contract negotiated on wording the model suggested is identified as such to the counterparty or to the business is not addressed either.
Summize claims time and cost savings. It cites three times faster contract creation, a 40 percent reduction in deal length, a 50 percent reduction in processing time, six times more contracts reviewed, and two minutes against two hours for an NDA. It attributes a 4,062 percent return on investment to Nucleus Research. Its materials do not address billing or disclosure, including what happens to a bill when AI assisted work takes less time.
No record of AI assisted work by matter is described. The buyer is an in house department rather than a firm billing a client.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The security page names who touches the data. OpenAI, Anthropic and Google supply the models through their APIs, with the latest open source models available on request, and Claren says it has zero data retention agreements with OpenAI and Anthropic. Each provider's own no training position is linked to source. Neon is named for data stores and Clerk for authentication, with Clerk's SOC 2 Type II and ISO 27001 status linked.
No subprocessor list with roles and locations is published. Data processing agreements and the trust center are available on request.
The public security page names OpenAI as a model provider and says customer prompts, completions, embeddings and training data are not available to OpenAI or used to improve OpenAI models. The home page FAQ adds that the system runs on Azure. Together they say who handles customer content, without a sales conversation. No subprocessor register or forwardable pack for clients is published. Clause 8.4 of the SaaS terms cites Appendix 3 as defining Sub-Processors, but the appendix does not appear in the published document. Summize publishes no data processing agreement, and its security whitepaper sits behind a form.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The security page commits to audit trails for user activities, listed beside the segregation and privilege statements, so a record of who did what in the platform is published as a feature. Nothing more is described. No statement says the trail records which redlines, extractions or answers came from the model rather than a lawyer, no model or version is attributed to any output, no export route for a client, auditor or court is described, and no guidance or template for disclosing AI use is published. The output is edits to a contract the counterparty will see.
Summize publishes nothing on court disclosure or verification certification. Its materials describe no audit trail or activity export, do not disclose to the customer the model behind a given answer, and mention no record of human verification. The product is a corporate contract intelligence system rather than a litigation tool.
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.
- Primary Law Corpus Provenance
- Good Law Verification
- Refusal and Uncertainty Behavior
In summary
Claren
Claren, from ClarenAI Company with offices in London, was founded in 2024 as WilsonAI by a former Clifford Chance lawyer. It is an AI contract assistant for in house legal teams that redlines agreements to the team's position, extracts key terms and answers questions with citations, working through Slack and Teams. According to the AI Legal Index, Claren's terms require review by qualified counsel before any output is relied on and warn about unauthorized practice. It names OpenAI, Anthropic and Google as model providers and bars training on customer data.
Summize
Summize, from Summize Ltd, a UK company, is a contract intelligence system for in house legal teams. It works inside Outlook, Teams, Slack, Gmail, Word, Salesforce, HubSpot and Jira, with a knowledge layer of playbooks, a contract operations layer from request to signature, and SIA agents that answer contract questions across the business. According to the AI Legal Index, Summize holds ISO 27001 certified by ISOQAR, and its published terms carry an intellectual property indemnity and liability caps with fixed floors.
Questions buyers ask
Claren vs Summize: which is better for in house legal teams?
Each is stronger in a different place. Claren publishes more on professional responsibility, training and data region. Summize publishes stronger liability terms, deeper integrations and a verifiable ISO 27001 certificate. Teams whose business users will query contracts directly have more integration to read from Summize and more guardrails to read from Claren. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does Summize train AI on customer contracts?
Its terms allow its own machine learning on customer data in aggregated, anonymized form to improve the software. Its security page says customer prompts, completions and embeddings are exclusive to each customer and are not available to OpenAI or used to improve OpenAI models. Claren's terms state that customer data is not used to train AI models, though they separately license customer material to improve its services. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does Claren say its outputs are not legal advice?
Yes, in its terms. They state that Claren is not a substitute for licensed counsel, gives no legal advice and creates no attorney client relationship, that every output must be reviewed by qualified counsel before reliance, and that non lawyers using it to advise others may commit unauthorized practice of law. Summize's terms contain no statement on the advice line. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
What security certifications do Claren and Summize hold?
Summize holds ISO 27001, with ISOQAR named as the certification body under UKAS accreditation, and says it does not yet hold SOC 2. Claren's security page says it is pursuing SOC 2 Type II and ISO 27001, expected in Q2 2026, and relies on certified suppliers. Its home page lists SOC 2 compliance without that qualification. From the AI Legal Index, based on each vendor's own published materials as of September 25, 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.
Three points stand out. Summize's terms permit it to use customer data in aggregated, anonymized form to improve its software through machine learning. Its statements about OpenAI concern third party models only. Claren's home page lists SOC 2 as compliant, while its security page says SOC 2 Type II and ISO 27001 are still being pursued, and no report is published. Claren's terms also grant it a license to use customer material to improve its services. Neither vendor reviewed this page.