Dazychain vs Legisway: how they compare in 2026
Dazychain and Legisway are both legal department management systems for corporate legal teams, each holding intake from the business, matters, contracts and documents in one place, and both list prices. Dazychain, from Melbourne, charges per user, from $105 a month, and runs its AI only when a user clicks, inside one matter or document, on Amazon Bedrock in Australia or the United States. Legisway, from Wolters Kluwer, sells packages from €8,000 a year in the UK and covers more of a legal department's records, including legal entities, powers of attorney, claims, privacy and real estate. Its Expert AI answers questions across documents and matters, Analyzer captures contract data for a user to validate, and Advisor reviews contracts against playbooks in Word. Legisway publishes its contract schedules, including AI terms that bar training Expert AI on customer input, while Analyzer's own terms train it on customer data weekly. Dazychain signs its customer agreement with each customer and publishes none.
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.
Dazychain sells matter management first, described in its footer as capture, triage, manage, resolve. Its pricing table shows a complete platform on every plan, with AI as one section among matter management, documents, spend, collaboration, workflow, reporting and integrations. AI use is capped on Launch and unlimited on Scale and Optimize. DazychainAI runs only when a user clicks a function, and the AI FAQ says it can be turned off completely for an account, which leaves a working matter management system. The AI summarizes matters and documents, finds information across a matter's content, answers questions about the customer's documents and compares an external contract with the customer's playbook. Saved AI summaries and outcomes can be reused in the matter. All of it sits on top of the matter record rather than forming it.
Legisway is a legal department system of record, and AI powers its contract work. Expert AI, a generative feature included in every package, answers questions on a document and summarizes provisions, obligations, risks and deadlines. It also rewrites legal language in plain terms and builds a comparison table across up to ten contracts. Schedule 3 limits Core to a single document and adds multiple documents and saved conversation history in Advanced, and Advanced and Premium can query every document in a matter at once. Analyzer, which Schedule 3 calls a generic question answering model, captures title, contract type, language, parties, key dates and applicable law in advance for a user to validate. A Mass Import and Contract Audit option runs it across up to 10,000 contracts. Advisor, launched in February 2026, reviews a contract in Word against a chosen playbook and redrafts clauses one by one. The entity, claims, power of attorney, privacy, real estate, ticketing, workflow and document generation modules run without AI.
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.
Dazychain's AI FAQ says extractions are designed to be highly accurate but, like any automated system, may need review. Users validate and edit extractions in the platform before anything is finalized or shared. A limitations entry adds that the AI works only within the matter or document it is engaged on, and that clear, well structured and complete documents give better results. Dazychain gives no accuracy figure, test set or error rate, and does not describe how a summary, extraction or answer points back to the passage it came from. The AI page credits Amazon Bedrock with detecting correct responses and minimizing hallucinations and ambiguity. That is a statement about the hosting service rather than a measure of DazychainAI's own output on matters and contracts.
Accuracy goes unmeasured across Expert AI, Analyzer and Advisor, with no error rate or evaluation. The Legisway AI page says answers are grounded in the customer's contracts, matters, entities and legal records. A September 2025 Wolters Kluwer article describes human review with citations, versioning and full auditability, while the product pages do not show how an Expert AI answer points back to its source passage. The Expert AI Supplemental Terms, valid from January 2026, say output may be inaccurate, incomplete or misleading and that Wolters Kluwer does not verify its accuracy or truth. Schedule 3 leaves it to the user to validate or correct the data points Analyzer captures, and Advisor's suggestions are described as explainable.
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.
DazychainAI acts only when a user engages it. The AI FAQ says it accesses data only when a user actively engages an AI function, such as clicking a button, so confidential matters stay untouched until assistance is requested. It works only within the matter or document it is engaged on and does not reach data outside that context. Extractions may need review, and users validate and edit them in the platform before anything is finalized or shared. AI can be turned off entirely for an account, and the FAQ's answer on restricting AI by role or matter type offers only that account wide switch. Outputs carry no confidence indicator, and no threshold or abstention state is described. Separately, the intake feature lets business users generate a document such as a nondisclosure agreement from a template the legal team approved in advance.
Each AI component carries a stated control. Expert AI answers questions users ask on a document and produces summaries on demand. Its terms open it to Editor and Contributor profiles, and the access guide also lists administrators. The Expert AI Supplemental Terms state that output is not legal advice and require the customer to verify it, including by human review. They bar automated decisions with legal or similarly significant effects on individuals without adequate human review. Schedule 3 says the user validates or corrects the data points Analyzer captures, and only administrators and editors can create a contract record with AI. Advisor shows changes in a redline view, applies edits as native redlines in Word and lets the user modify each suggestion. A daily fair use limit applied during the free trial, and the current terms keep a fair use and monitoring clause. A September 2025 Wolters Kluwer article describes proactive AI agents that would monitor renewals, as a plan rather than a shipped feature.
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.
Dazychain's client stories name the organization and the people involved. Helen Carr, Deputy General Counsel at MYOB, describes using Dazychain's matter data to show growth in the volume and complexity of matters and to win additional headcount. Mercia Chapman, Senior Legal Counsel at Equity Trustees, speaks on email capture and retrieval. Further stories cover Perenti's global mining legal work, SEE Civil's time saved finding files, and process improvements at Sage Automation, with VicReturn, Education Services Australia and SAGE Group also listed. The MYOB account describes an operational outcome that the platform's reporting made possible. The stories are not dated, and no quantity is attached to any customer's result.
Named users are quoted without figures. Kim Philips, paralegal and lease lead at Interstate Waste Services, describes reaching the platform from anywhere, and the full Interstate Waste Services story sits behind a form. Maria Knutson, legal and contract affairs manager at Ergotron, describes how it handles contract volume and onboarding. Country pages show logos including Decathlon, Hochtief, Renault, Evonik, JCDecaux, Safran, DHL eCommerce and Jack Wolfskin. Wolters Kluwer says more than 900 legal departments and 130,000 users across Europe use Legisway, and its United States page says more than 1,000 corporate legal teams worldwide. Its 2025 benchmark of more than 700 legal departments found 42 percent using contract management software, up from 33 percent. No outcome figure is attributed to a customer or to the AI features.
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.
Dazychain's security page describes data segregation as fully supported and tenant aware, so no customer can reach another's information unless permission is given, as in a collaboration. Data is encrypted with AES 256 at rest in a MongoDB store and with HTTPS and TLS 1.3 in transit, and documents sit encrypted in Amazon S3. Role based access applies on every plan, and every access and change to documents, matters and deliverables is logged and preserved. DazychainAI reaches nothing until a user clicks and stays inside the matter or document engaged. Amazon Bedrock does not store its inputs or outputs, each model runs in a dedicated AWS account, and customer information is not used to train external models. These commitments sit in the FAQ and the security page rather than a contract on the site. Staff sign confidentiality agreements and take annual security training, and privilege and work product get no separate treatment.
The Expert AI Supplemental Terms, valid from January 2026, state that Wolters Kluwer shall not use customer input to train Expert AI or the language models. They allow technical, usage and performance information and feedback to improve the feature, aggregated or anonymized where feasible. The Analyzer Supplemental Terms take the opposite position, granting rights to use input and output to train Analyzer, and customer data is processed to train the model weekly. Personal data is partitioned, and the security factsheet says unique encryption keys are generated for each client. Every profile can be limited by country, division, legal entity or department, and retention and deletion are set out in the contract schedules. Privilege and work product go unmentioned, and what Azure OpenAI keeps is unstated.
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.
Dazychain draws no advice line on its site, although DazychainAI drafts summaries and answers questions about legal documents. The only legal document the site links is a privacy policy, with no terms of service, end user agreement or disclaimer page. The AI FAQ notes that extractions may need review and that users validate them before anything is shared. It does not say that output is not legal advice or that a lawyer must review generated content before it is relied on. Business users who are not lawyers can complete an intake form that feeds a template approved in advance and generates a tailored document, such as a nondisclosure agreement. The AI page says that document can be reviewed or sent back to the requester without manual intervention, and sets no legal checkpoint around that choice. No rule of professional conduct, bar authority or jurisdiction limit is named.
The Expert AI Supplemental Terms state that output shall not be considered legal advice, that it may be inaccurate, incomplete or misleading, and that the customer must verify it, including by human review. Expert AI is intended solely for professional use by the customer's own profile holders. Schedule 1 says the services form no attorney client relationship between the parties. Advisor's suggestions are described as supporting legal judgment. Legisway is sold to corporate legal departments and the procurement, HR, finance and business teams that work with them. Jurisdiction limits are unstated, and the product's support for a lawyer's competence and supervision duties goes no further than the duty to verify output.
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.
Dazychain's AI FAQ covers what DazychainAI does, where it runs, what data it uses, how to switch it off and its limits, and its security page covers information security. Neither sets out AI principles, an owner accountable for model behavior, testing before release or findings on bias. The nearest structure is the Information Security Management System, with documented policies, annual staff training and documented acceptance, which governs staff conduct and data security rather than model behavior. DazychainAI's limits run through product design instead. The AI stays inactive until a user clicks, works inside one matter or document and can be switched off for the whole account, and the FAQ offers no narrower control by role or matter type. Dazychain holds no ISO/IEC 42001 certification.
Wolters Kluwer's five AI principles cover privacy and security, transparency and explainability, governance and accountability, fairness, and a human focus. Its AI Center of Excellence runs a governance review so that sensitive, confidential or personal information is not used, and a November 2025 Wolters Kluwer article says Alex Tyrrell oversees that center. Advisor is described as built on these principles, while the principles page does not say which products it covers. There are no testing results, bias findings or ISO/IEC 42001 certification. The Expert AI terms bar discriminatory use and automated decisions about individuals without human review.
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.
On termination Dazychain keeps customer data for the period the customer requests, usually one month, then deletes it, with other arrangements on request. The FAQ gives backup retention of two weeks for the MongoDB database and unlimited retention for documents in Amazon S3. Access control runs through role based access on every plan and an audit trail that logs every access and every change to documents, matters and deliverables. Staff pass police background screening on joining and every two years, sign confidentiality agreements and take annual security training. Data is encrypted with AES 256 at rest and TLS 1.3 in transit. Amazon hosts the application and files and Object Rocket the database. The FAQ says all subprocessors, such as AWS, ObjectRocket, CloudFront and SIEM providers, are bound by contractual controls, without listing them all. Penetration testing runs internally before each release and annually through an outside agency, and AWS multiple availability zones serve as the disaster recovery setup. Dazychain states compliance with the Australian Privacy Act 1988 and GDPR. Dazychain sets no breach notification period or commitment on its site.
Legisway's contract schedules and security factsheet set out its data handling. Databases are backed up nightly within the same region, backups are deleted after four weeks, and recovery targets are three hours of data and 24 hours of downtime. After termination the databases are kept for four months and then destroyed, test copies made with the customer's consent go within two months, and the data processing agreement lets the customer choose deletion or return. Wolters Kluwer commits to notify the customer of a data breach without undue delay. Schedule 2bis names the subprocessors, including Wolters Kluwer affiliates in France, Italy and the Netherlands, ABBYY for OCR, Claranet for email to Legisway and Teleperformance Portugal for support. The Expert AI terms add AWS in Germany and Azure OpenAI in Sweden. Data is encrypted in transit with TLS 1.3, encryption at rest is available, and penetration tests run regularly. Customers get 14 days to object to a new subprocessor. Expert AI keeps personal data for the period appropriate to performing the service, with no fixed figure.
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.
Dazychain's site links a privacy policy and a sitemap as its only legal documents, with no terms of service, subscription agreement, end user terms or service level document. The FAQ refers to data processing agreements and a 12 month minimum contract term, which sit in documents signed with each customer. Indemnities, liability caps, warranties, exclusions and insurance are left to that signed contract. The AI FAQ describes output as designed to be highly accurate while noting that it may need review. How loss from a wrong summary, extraction or playbook comparison is shared between Dazychain and a customer depends on the contract offered in a sales process. The privacy policy is the only document on the site that governs customer data.
Schedule 1 of the Legisway terms for the French and Dutch contracting entities, version of March 2025, caps liability at the fees paid in the 12 months before the first event. It excludes indirect damage and lost profit, limits data loss to restoring the last backup and requires claims within one year. The intellectual property indemnity sits outside the cap. Wolters Kluwer warrants conformity with the documentation in all material respects, with error correction as the remedy. The German schedule sets no fee based cap and keeps liability unlimited for intent and gross negligence, following the German Civil Code. The Expert AI terms provide the feature as is and as available, within the agreement's limits and caps. The Legisway Service Terms for the United States, effective December 2022, cap liability at fees for the prior 12 months under New York law. No insurance is described.
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.
Dazychain's integrations page and FAQ name its connections and what each does. Outlook creates matters from emails and files messages into existing matters, including from shared mailboxes, and Gmail does the same without shared inbox support. Word documents are created, edited and redlined inside matters with version history, and DocuSign sends documents for signature from a workflow. The FAQ adds ServiceNow and single sign on through Okta, Microsoft Entra and other SAML providers, and the pricing table lists SCIM and ADFS. The pricing table shows API access on Optimize, while the FAQ says API and webhook capabilities are not available, and the integrations page offers API based HR system integrations on request. SharePoint and a document library and knowledge base are listed as coming soon. The pages describe what each email and document connection does, without configuration detail.
Schedule 3 lists standard connectors for Salesforce, SAP, Microsoft Dynamics, Box and KvK, with a variant adding the German BeA connector. In Salesforce, a new account creates a matching external company in Legisway and opportunity milestones create contracts. SAP passes vendor data through SAP Process Orchestration, and in Dynamics vendors are approved before they are created in Legisway. The Box connector syncs daily into folders named by matter number. Microsoft 365 for the web handles document editing, with collaboration from Advanced upward, and eSignature runs through DocuSign, Signaturit, Universign, Scrive, Adobe Sign, LuxTrust and Lex Personae. Advisor works inside Word. API access comes with Premium, and the Files API now returns signature status, modification times and owners, without public documentation. The UK integrations page names SharePoint among connected platforms without describing the 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.
Dazychain's security page places application data in Amazon data centers in Australia and the United States, the database with Object Rocket in the same two regions, and documents in Amazon S3, across multiple availability zones. The AI runs on Amazon Bedrock in Australia or the United States according to the customer's location, with each model in a dedicated AWS account, so processing is addressed apart from storage. Older FAQ entries and the privacy policy say data is stored in Australia, and the privacy policy says personal information is not disclosed outside Australia without consent. Segregation is described as tenant aware, without describing the architecture. No single tenant, dedicated or self hosted option is offered, no region choice is presented to the buyer, and deployment does not change between the three plans. Dazychain has offices in Melbourne and Boston.
Schedule 2bis hosts Legisway on AWS data centers in Germany with backups in Ireland. The security factsheet places the servers in Frankfurt, in a virtual private cloud with live synchronization and failover servers. Processing for each AI component is named separately. Expert AI runs its infrastructure on AWS in Germany and its language model on Azure OpenAI in Sweden, Analyzer runs on Microsoft Azure in the Netherlands, and Analyzer's OCR runs on AWS in Ireland. The service is SaaS with shared bandwidth, and there is no customer choice of region. In the United States the service terms say Legisway is hosted by CCH or its licensors, with no region stated. The older Enterprise edition was also offered on premises.
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.
Dazychain states that its ISO 27001 controls and wider Information Security Management System are audited internally and externally each year. It also states that SOC 2 internal and external audits run annually and produce SOC 2 reports. No auditor or certifying body is named, and no SOC 2 type is given, so the page does not say whether the report covers a point in time or a period. The certificate and reports carry no date, period or scope, and Dazychain offers no trust portal or request form for them. The ISO claim cites the 2013 edition of ISO 27001, whose transition period to the 2022 edition ended in October 2025. AWS certifications listed alongside, including FedRAMP and SOC 1, belong to AWS. Penetration testing runs internally before each release and annually through an outside agency.
The security factsheet says GBS Global Hosting, part of Wolters Kluwer Italy, keeps a management system in line with ISO/IEC 27001:2022 for third level support, cloud infrastructure management and database administration. A Wolters Kluwer Italia certificate issued through RINA, valid to December 2027, covers software design and ICT services delivery without naming Legisway. The factsheet also cites the ISO 27001 and PCI DSS certifications of the AWS data centers. The United States data privacy page shows an AICPA logo under its certifications heading, linked to nothing, and no SOC report is named. Under the data processing agreement Wolters Kluwer provides the information needed to demonstrate compliance on request, and Legisway has no self serve trust portal.
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.
All DazychainAI tools run on Amazon Bedrock, with each model in a dedicated AWS account. Bedrock does not store inputs or outputs, share them with third parties or use them for training, and inference runs in Australia or the United States according to the customer's location. The service, the region and the data conditions are stated, while the model maker is not. Bedrock hosts models from several makers, and Dazychain names no model or version and does not say which model produces a summary as against a playbook comparison. Dazychain sets no notice period for a change of model, version or hosting arrangement, and its FAQ binds subprocessors such as AWS through contractual controls without listing them.
The Expert AI Supplemental Terms name Azure OpenAI, in Sweden, as the language model provider and AWS in Germany as the infrastructure provider. No model name or version is given. Schedule 3 calls Analyzer a generic question answering model, and its terms list its own processors, including Holistics and Okta in Germany and MongoDB Atlas and Elastic in the Netherlands, without naming a model provider. Wolters Kluwer describes its AI platform as using several models. A change of subprocessor carries 14 days' notice with a right to object, and a right to terminate on three months' notice if the objection is not resolved. Schedule 3 may be updated from time to time.
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.
Dazychain's pricing page lists three plans per user per month, Launch at $105, Scale at $130 and Optimize at $160. A currency selector offers Australian dollars, United States dollars, euros and pounds, and the figures carry a bare dollar sign. Launch carries no implementation fee. Scale offers customized configuration and implementation as a $5,000 option, and Optimize lists it at $5,000, while the FAQ says implementation is completely free. Reconfiguration is a professional services fee on the lower plans, and Optimize includes one each year. A feature table of about forty rows splits matter management, documents, spend, collaboration, AI, workflow, reporting, integrations, security and support by plan, and AI use is capped on Launch and unlimited above it. A 14 day trial starts from a sign up form, followed by workspace setup and an hour of training. The FAQ sets a 12 month minimum term and says Dazychain does not usually offer pilots.
The UK pricing page gives three packages with starting prices: Core from €8,000 a year, Advanced from €13,000 and Premium from €16,000. Expert AI for documents comes in every package, Expert AI across a whole matter comes with Advanced and Premium, and API access comes only with Premium. In the United States, Core and Advanced carry no price and Premium is quoted on request, with Advanced adding AI checklists and Premium adding KPI dashboards. Ten add on modules, from contracts to invoice management, are listed without prices. Professional services and travel are billed separately, with no implementation fee stated, and licenses are personal and nominative across four license types.
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.
Dazychain is built for corporate legal departments, and its FAQ says it is designed for small to medium sized in house legal teams. Pricing per user lets a team size itself. Its case studies name MYOB, Equity Trustees, VicReturn, Education Services Australia, SAGE Group, Sage Automation, Perenti and SEE Civil, mostly Australian organizations. The same platform is sold to HR teams under a separate product line, with case types such as investigations, performance management and protected disclosures, and Dazychain describes a front door spanning legal, HR and finance. The system works with any matter type, and the FAQ names charities, non profits, research and utility companies, superannuation and finance, construction and mining among the industries it serves. Dazychain has offices in Melbourne and Boston and hosts data in Australia and the United States. No jurisdictional coverage, team size limit or work the product is not suited to is stated.
Legisway serves corporate legal departments of all sizes, with legal ticketing for business requesters and four license types from editor to requestor. Its FAQ names procurement, HR, finance and business leaders as users alongside legal, and industry pages cover retail, energy, finance, automotive and pharmaceuticals. It is sold across Europe, with local sites in English, French, German, Dutch and Spanish, and launched in the United States in 2022. Expert AI is available in Europe and the United States. Legisway Meetings, launched in Germany in May 2026, runs board and supervisory board meetings with online voting through Microsoft Teams and minutes drafted by Expert AI. Interface languages are not listed, team size limits are unstated, and law firms are not named as buyers.
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?
Dazychain's AI FAQ says customer information is never used to train external AI models, and that the platform uses only the data within the document or matter being worked on, combined with Amazon Bedrock's services. The AI page adds that Bedrock does not use inputs or outputs for training. Each statement covers external models, and Dazychain says nothing about training, tuning or evaluating models of its own or of its parent, Yarris Technologies.
The site links no terms of service, subscription agreement or end user terms, so these commitments sit in the FAQ and the AI page rather than in a contract term. The privacy policy and a sitemap are the only documents linked from its navigation and footer. A customer can switch DazychainAI off for its whole account, so no matter data reaches the models.
Legisway's published terms take two positions. The Legisway Analyzer Supplemental Terms, version of March 2025, grant Wolters Kluwer rights to use customer input and output to train or improve Analyzer. They state that customer data is processed to train the model weekly, with no opt out described, and Analyzer sits inside the Contracts module. The Expert AI Supplemental Terms, valid from January 2026, state that customer input shall not be used to train Expert AI or the language models.
They allow usage, performance and feedback data to improve the feature, aggregated or anonymized where feasible. The Legisway Service Terms for the United States, dated December 2022, allow customer data to be used to provide and improve machine learning features.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Amazon Bedrock does not store DazychainAI inputs or outputs, according to Dazychain's AI page, and each model runs in a dedicated AWS account. Saved AI summaries and outcomes become part of the matter record and can be reused. On termination, customer data is kept for the period the customer requests, usually one month, then deleted, with other arrangements available on request. The FAQ gives backup retention of two weeks for the database and unlimited retention for documents in Amazon S3, where documents are encrypted with AES 256.
Dazychain sets no retention period during the subscription, on any plan, for matter records or the AI output saved into them. The audit trail keeps every access and change to documents, matters and deliverables.
The Expert AI Supplemental Terms keep personal data for the period appropriate to performing the service, with no fixed figure, and saved conversation history comes with Advanced and above. The contract schedules fix the surrounding periods. Backups are deleted after four weeks, databases are kept for four months after termination and then destroyed, and test copies go within two months. Analyzer keeps daily backups for seven days and weekly backups for four weeks.
There is no stated period for prompts or AI output, no customer setting controls it, and what Azure OpenAI keeps is undescribed.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The security page states that data segregation is fully supported and tenant aware, and that no user company can access another's information unless permission has been provided, as in a collaboration. Role based access applies, with every access and modification logged. On the AI side the model reaches nothing until a user engages a function, and it works only within the matter or document engaged rather than across the account.
There is no wall at matter level inside a single legal department. Dazychain describes no conflicts management, restricted matters or walled user view. The vendor's FAQ asks whether AI can be restricted by role or matter type and answers only that it can be switched off for the whole account.
Legisway keeps its own permission model, documented in its guide to access types. Users hold one of four license types, and the editor license can carry any of five profiles: administrator, editor, contributor, reader and requestor. Every profile can be limited by country, division, legal entity or department. The Expert AI terms open the feature to Editor and Contributor profiles, and the access guide also lists administrators.
Only administrators and editors can create a contract record with AI. Between customers, personal data is partitioned and unique encryption keys are generated for each client. Licenses are personal and nominative.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Dazychain's privacy policy says it will not disclose personal data to government institutions and authorities except where the law requires, and that it will not disclose personal information outside Australia without consent. It states no commitment to tell the customer when a disclosure is required. Any contractual notice term would sit in the data processing agreements the FAQ says Dazychain signs with customers, and Dazychain issues no transparency report.
The FAQ adds that subprocessors such as AWS and ObjectRocket are bound by contractual controls. The security page says data is not shared with third parties and that users may choose to share information with external lawyers. Hosting spans Australia and the United States on the security page, so matter data can sit under two disclosure regimes, while the privacy policy says Dazychain stores its data on servers in Australia.
Section 4.4 of Legisway's data processing agreement commits Wolters Kluwer to inform the customer of any legally binding request for disclosure of personal data by a law enforcement authority, unless prohibited. Section 8 of Schedule 1 allows confidential information to go to a regulator or law enforcement agency where law requires. Wolters Kluwer then uses reasonable efforts to notify the customer and give it a chance to seek a protective order.
The Legisway Service Terms for the United States commit to prompt notice before such a disclosure. There is no transparency report. European data is hosted in Germany with backups in Ireland, and the language model runs in Sweden. In the United States the service is hosted by CCH or its licensors.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
DazychainAI works only on the customer's own material. The AI FAQ says it uses only the data within the document or matter being worked on. The features operate on uploaded contracts, matter records, emails and the customer's own contract playbook. The product retrieves no primary law, published precedent, market clause bank or licensed dataset, and names none. The playbook comparison is the one feature that measures a contract against a standard, and that standard is the customer's own playbook rather than content Dazychain supplies.
Intake document generation likewise fills templates the customer's legal team approved in advance, so no outside licensing question arises.
Legisway's AI works from the customer's own records. Expert AI answers are grounded in its contracts, matters, entities and legal records, Analyzer reads uploaded contracts, and Advisor reviews a contract against playbooks the customer creates and maintains. The product does not retrieve case law or legislation. The training data behind the Azure OpenAI model and the Analyzer model is undescribed. Advisor, launched in February 2026, can also be bought on its own.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Dazychain manages matters, documents and spend, and its AI summarizes, finds information in and answers questions about the customer's own documents and compares a contract with the customer's playbook. No case, statute or regulation appears to a user anywhere in the workflow, so a citator sits outside the product. The playbook comparison flags where an external contract departs from the customer's playbook, and keeping the playbook current is the legal team's work.
Legisway manages contracts, entities and matters and does not cite case law or legislation, so a citator sits outside the product. Advisor reviews contracts against playbooks the customer maintains by hand, and Expert AI answers from the customer's own records. How a playbook, a contract template or a stored opinion in the Reference Legal Advice module, part of the Knowledge Center from Advanced upward, is flagged when a change in law affects it is undescribed.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The AI FAQ's limitations entry says the AI works only within the matter or document it is engaged on and does not reach data outside that context. It adds that clear, well structured and complete documents give better results. A second entry says extractions are designed to be highly accurate but may require review, and that users validate and edit them before anything is finalized or shared. Neither entry says what the system does when it cannot ground an output, such as a scanned contract or a playbook point with no matching clause.
Outputs carry no confidence indicator, and no state for declining to answer is described. The FAQ asks whether AI can be restricted by role or matter type and answers only that it can be switched off for the whole account. DazychainAI acts only when a user engages it, so every output follows a user's request.
There is no described path for declining a question and no confidence indicator for Expert AI, Analyzer or Advisor. The Expert AI terms say output may be inaccurate, incomplete or misleading and that Wolters Kluwer does not verify it. Schedule 3 leaves it to the user to validate or correct the data points Analyzer captures, and Advisor's suggestions can be modified before they reach the document. What Expert AI does when the documents in front of it hold no answer, and how Analyzer marks a data point it fails to capture, is undescribed. Advisor reviews clauses and rules one by one, so each redraft is the user's choice.
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, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Dazychain or its parent Yarris. DazychainAI summarizes and answers questions about the customer's own matter documents rather than producing court filings.
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Legisway, Legisway Expert AI, Legisway Advisor or Legisway Analyzer. Legisway manages contracts and matters for corporate legal departments and produces no court filings. Expert AI answers from the customer's contracts, matters, entities and legal records and compares up to ten contracts in a table.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Dazychain names no bar authority, conduct rule or ethics opinion, and maps no guidance to a jurisdiction. Its compliance material covers data protection, running to the Australian Privacy Act 1988 and related state laws, GDPR, ISO 27001 and SOC 2. One feature touches professional responsibility directly. Business users who are not lawyers can complete an intake form that generates a finished document, such as a nondisclosure agreement, from a template approved in advance.
Dazychain says nothing about the legal department's duties when it approves such a template or lets the document go out without review. DazychainAI's limits, such as acting only when a user clicks and only inside one matter, are presented as security and data controls rather than tied to a lawyer's duty of competence or supervision.
The Expert AI Supplemental Terms state that output shall not be considered legal advice and must be verified by the customer, including by human review. They also bar automated decisions with legal effects on individuals without adequate human review. Schedule 1 says the services form no attorney client relationship. Wolters Kluwer's AI principles cover accountability, fairness and a human focus in general terms. No bar opinion, ethics rule or professional conduct guidance is named in the Legisway material or its terms.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Dazychain carries spend and budget management, invoice review workflows, spend analytics, schedules of rates and budget tracking for what the department pays its external law firms. The AI material says the platform helps lawyers save time, removes friction from drafting, reporting and summarization, and lets teams get work done in a fraction of the time, with no figure attached. Dazychain draws no link between that time saved and what outside firms bill.
The matter record does not mark which summaries or playbook comparisons the model produced, either in the matter or in reports to the business. Invoice review runs as a workflow beside the department's schedules of rates and budgets.
Legisway is sold to corporate legal departments that bill no client for their work, so no client bill sits in the loop. Invoice Management, an optional module, stores and follows up invoices and engagement letters, and the product does not describe AI review of law firm invoices. Its savings claims are qualitative and aimed at the buyer, saying it saves time and resources and removes the need to read every document manually, with no figure.
Pricing is per package per year, with personal licenses. Professional services are billed separately, with no implementation fee stated, and add on modules are listed without prices.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Dazychain's security and AI pages place the application and files with Amazon in Australia and the United States, the database with Object Rocket and AI on Amazon Bedrock. Each model runs in a dedicated AWS account with no storage of inputs or outputs. The FAQ says all subprocessors, such as AWS, ObjectRocket, CloudFront and SIEM providers, are bound by contractual controls, and refers to data processing agreements signed with each customer.
The site carries no subprocessor list or agreement. Bedrock hosts models from several makers and Dazychain names none, so the model that reads a contract is unidentified. Dazychain offers no summary written for a legal department to pass to its business, auditors or regulators.
Legisway's contract schedules are readable without an agreement in place, indexed by country with validity dates. Schedule 2bis lists the subprocessors with their roles and locations, the Expert AI Supplemental Terms add AWS in Germany and Azure OpenAI in Sweden, and the Analyzer terms list Analyzer's own processors. The data processing agreement and AI terms sit alongside them. Beyond those documents, there is no plain language summary of how the AI uses customer documents.
A change of subprocessor carries 14 days' notice with a right to object, and a right to terminate on three months' notice if the objection is not resolved.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The security page says every access to the platform and every modification to legal documents, matters and deliverables is logged and preserved, as a safeguard against unauthorized activity. Audit trails and activity tracking appear as an included feature on all three plans, alongside exportable reports and dashboards, so an exportable record of what happened to a matter exists. The log does not mark which summaries, extractions or playbook comparisons came from the model rather than a person.
Saved AI summaries and outcomes stay in the matter record, where each later change is logged. No model or version is attached to any output, and Dazychain offers no guidance or template for disclosing AI use to a court, regulator or client.
Legisway logs user actions, content access and changes, administrators see usage statistics and the audit trail, and the United States material gives Advisor its own audit trail. Expert AI keeps conversation history from Advanced upward, and the Files API returns file properties such as signature status, modification times and owners. At the end of a contract data is returned in the agreed format. Nothing records which model produced an output, and there is no disclosure template. Legisway's output is contract and matter work rather than court filings.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
- Refusal and Uncertainty Behavior
Which one fits
Choose Dazychain if
- You want to price by the seat. Dazychain lists Launch at $105, Scale at $130 and Optimize at $160 per user a month, with a currency selector and a 14 day trial that includes an hour of training. Launch carries no implementation fee, the upper plans list configuration and implementation at $5,000, and AI use is capped on Launch and unlimited above it.
- You want AI that stays inside one matter. DazychainAI runs only when a user engages a function, reads only the matter or document it was opened on, and can be switched off for the whole account. Intake, workflows, spend tracking and the law firm portal keep running as a plain matter system.
- Your team sits in Australia or the United States. Dazychain hosts its application with Amazon, its database with Object Rocket and its documents in Amazon S3 in those two regions. AI runs on Amazon Bedrock in the customer's region, with each model in a dedicated AWS account.
Choose Legisway if
- You manage legal entities and corporate records as well as matters. Legisway holds legal entities, powers of attorney and deeds, claims and litigation, privacy and risk, intellectual property and real estate alongside contracts. It takes business requests through legal ticketing and launched board meeting management in Germany in 2026.
- You want the contract terms published before you sign. Legisway's country schedules are public, including a data processing agreement, a subprocessor schedule, a service description and Expert AI terms. Those terms state that output is not legal advice and bar automated decisions with legal effects on individuals without human review.
- You work in Europe. Legisway is hosted on AWS in Frankfurt with backups in Ireland, runs Expert AI's language model on Azure OpenAI in Sweden and runs Analyzer on Microsoft Azure in the Netherlands. It is sold with local sites in English, French, German, Dutch and Spanish, and Wolters Kluwer says more than 900 European legal departments use it.
In summary
Dazychain
Dazychain is matter management software for small to medium in house legal teams from Yarris Technologies of Melbourne, with an office in Boston. Business requests arrive through intake forms, Outlook or Gmail and become matters with workflows, tasks, due dates and approvals. The platform adds document and contract management with Word editing, client and law firm portals, spend tracking and dashboards. DazychainAI summarizes, answers questions and compares contracts with a playbook when a user asks. Three plans run from $105 to $160 per user a month, and AI runs on Amazon Bedrock in Australia or the United States.
Legisway
Legisway is Wolters Kluwer's legal department management software for corporate legal teams, covering contracts, legal entities, claims, powers of attorney, privacy, intellectual property, real estate and legal ticketing. Expert AI, included in every package, answers questions on documents and matters using Azure OpenAI in Sweden, Analyzer captures contract data points, and Advisor reviews contracts against playbooks in Word. Legisway publishes its contract schedules with retention periods, a named subprocessor schedule and AI terms, and UK packages start at €8,000 a year.
Questions buyers ask
Dazychain vs Legisway: which suits a corporate legal department?
Dazychain suits a smaller team that wants per user prices, AI that runs only when asked and hosting in Australia or the United States, with spend tracking and portals for the business and outside firms. Legisway suits a department that also keeps entity, power of attorney and corporate records, works in Europe, wants AI review against playbooks in Word and wants published contract schedules. Both take requests from the business and manage matters, contracts and documents in one system. From the AI Legal Index, based on each vendor's own published materials as of October 9, 2026. No vendor pays for placement.
Do Dazychain and Legisway train AI on customer data?
Dazychain's AI FAQ says customer information is never used to train external AI models, and it publishes no customer agreement or statement about models of its own. Legisway's terms differ by component. Expert AI's terms bar training Expert AI or the language models on customer input, while Analyzer's terms state that customer data is processed to train the Analyzer model weekly, with no opt out described. From the AI Legal Index, based on each vendor's own published materials as of October 9, 2026. No vendor pays for placement.
Where does each one run its AI?
Dazychain runs AI on Amazon Bedrock in Australia or the United States, by customer location, with each model in a dedicated AWS account and no model named. Legisway runs Expert AI's infrastructure on AWS in Germany with its language model on Azure OpenAI in Sweden, and Analyzer on Microsoft Azure in the Netherlands, with Analyzer's OCR on AWS in Ireland. In the United States, Legisway's service terms say it is hosted by CCH or its licensors, with no region stated. From the AI Legal Index, based on each vendor's own published materials as of October 9, 2026. No vendor pays for placement.
How much do Dazychain and Legisway cost?
Dazychain charges $105, $130 and $160 per user a month across three plans. Launch has no implementation fee, the upper plans list $5,000 for configuration and implementation, the trial runs 14 days and the minimum term is 12 months. Legisway's UK packages start at €8,000, €13,000 and €16,000 a year, with Expert AI for documents in every package, Expert AI on matters in the upper two and API access only in Premium. Prices in the United States are quoted on request. From the AI Legal Index, based on each vendor's own published materials as of October 9, 2026. No vendor pays for placement.
What do Dazychain and Legisway both leave unpublished?
Neither publishes an accuracy rate for its AI, a confidence indicator or a path for declining a question, and neither names bar guidance on AI. Neither offers a vendor indemnity covering AI output or names a model version behind its features. Neither publishes testing results for its AI or holds an AI management certification such as ISO/IEC 42001, and neither issues a transparency report on government requests. From the AI Legal Index, based on each vendor's own published materials as of October 9, 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.
Legisway's AI terms differ by component. Expert AI's terms bar training on customer input, while the Legisway Analyzer terms grant Wolters Kluwer rights to train Analyzer on customer data weekly. Legisway's published prices are UK starting prices per package per year, and Dazychain's are per user per month. Dazychain's FAQ gives implementation as free, while its pricing page lists a $5,000 fee on the upper plans. Neither vendor reviewed this page.