iManage vs NetDocuments: how they compare in 2026
iManage and NetDocuments both sell cloud document and email management to law firms and corporate legal departments. Each now adds an AI layer that answers questions from the firm's own files with citations. The clearest difference is accuracy evidence. On 18 August 2026 NetDocuments published its Legal Context Engineering Benchmark, measuring answer quality across 300 questions on ten real matters. It states the method, shows failures, and includes a class of questions the record cannot answer, where the published example declines rather than guesses. iManage describes how Ask iManage retrieves and cites. NetDocuments also commits by contract to store data in the region on the order form, with five regions published. iManage is stronger on subprocessors. It publishes its subprocessor list and commits to 60 days' notice of any new one, with an objection right and a termination remedy.
Which one fits
Choose iManage if
- Your clients audit your vendors' vendors. iManage publishes a maintained subprocessor list naming Microsoft Azure, commits to 60 days' notice before a new subprocessor touches customer data, gives a 30 day objection right, and lets you terminate with a pro rata refund if the objection is not resolved.
- You need to know what happens when a government asks the vendor for your files. iManage's agreement commits it to try to redirect an agency to you, to notify you with a copy of any compelled demand, to oppose blanket requests, and never to hand over its platform encryption keys or unfettered access.
- You are a smaller firm, and a cap equal to one year of fees would be a small number. iManage caps each party at the greater of twelve months' fees or $50,000, lifts the cap for its intellectual property indemnity, and lets you terminate if availability falls below 99.0 percent in three months of any six.
Choose NetDocuments if
- You want to see accuracy measured before you rely on AI answers. NetDocuments' benchmark of 18 August 2026 reports answer quality scores out of 100 across three model tiers, from 64.0 to 75.4, on 300 questions drawn from public filings and court dockets, and publishes the method so a firm can rerun it.
- Your data must stay in a named country. NetDocuments' agreement commits to store repository data in the region on your order form and not to move it except at your direction or as law requires, with the United States, United Kingdom, Germany, Australia and Canada published, and ndFlexStore or ndMirror can hold data on servers NetDocuments does not host.
- You want to know whose model reads your documents and how long it keeps them. NetDocuments names Microsoft Cognitive Services and Azure OpenAI, states that inputs and outputs are not kept beyond producing the answer and do not train the model, and has an agreement with Microsoft that keeps customer content out of abuse monitoring.
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.
The FAQ on the AI page states that Mailbox Assistant, AI Services and Ask iManage are not included in a standard cloud subscription and must be purchased as additional products, and that iManage AI is available only on the cloudimanage.com endpoint, with customers still being moved there. The platform underneath is a document and email management system with security, governance, records, conflicts, knowledge search, transaction management and workflow products, sold for decades and bought for that. AI Enrichment classifies and extracts at scale and Ask iManage answers questions from the repository; without both, the document management system is unchanged.
NetDocuments is a cloud document and email management system sold for twenty five years. The ndMAX suite adds a Legal AI Assistant, AI Search, Tabular Review, an App Builder and a library of ready made legal apps. Smart Answers, which began rolling out to ndMAX Enterprise customers on 31 March 2026, answers questions from the firm's repository with citations. The vendor frames this as bringing AI to the content rather than taking content to AI. Its press material says more than 800 firms began using the AI capabilities in 2025 and over forty percent of new customers choose AI at purchase. Without the models, the document management, email management, search, security and collaboration product remains, which is what most of the 7,000 organizations bought.
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.
Ask iManage works in three steps. It interprets intent and context from a plain language prompt rather than keywords, identifies the most relevant material within iManage Work, and generates an answer anchored with citations so users can verify the sources. The product page states that answers are backed by citations to the firm's own work and that documents never leave the platform. It also claims that outputs are grounded rather than hallucinated because the system draws only from real documents. No accuracy figure, test set or evaluation of any kind is published. The product cites the firm's own files, not reported authority, so checks on case citations do not apply.
The Legal Context Engineering Benchmark, published 18 August 2026 by the VP of Product, reports quality scores out of 100 for the vendor's own AI answers across three model tiers. Without the Legal Context Graph they are 64.0, 67.4 and 73.9; with it, 65.1, 69.0 and 75.4. Correct answer counts out of 300 and the cost of a correct answer are also given. The test set has 300 questions across ten real matters, five transactional and five litigation, built from public filings and court dockets partly outside the models' training cutoff. It covers 874 documents and about sixty million characters, with nothing synthetic, six named question types including Unanswerable, and a rubric for each question. Citations are checked automatically against the documents, with human spot checks. A worked example shows the product's own answer failing all three criteria without the context layer and still failing one with it. The method is published for firms to rerun. It is the vendor's own benchmark, not third party validation, and an appendix with per matter scorecards is published with it.
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.
Every answer carries citations the user can open to verify the source, all AI interactions stay inside the governed platform with native enforcement of permissions and information barriers, and the vendor describes the result as explainable and auditable in regulated settings. No published material says what the system does without a lawyer, any threshold at which it stops, or what happens after an output is wrong. The May 2026 playbook analysis release describes the feature applying a firm's positions automatically to every contract review, without saying where review sits in that loop.
The vendor says the best AI apps run automatically in the background based on a user's actions, and MCP connectivity lets external agents run workflows across systems. On the oversight side, answers carry citations a lawyer can open, and Exhibit B commits to document level activity logs reviewable for ninety days. Administrators control which users and applications reach what through the Customer Service Account. The benchmark report tells readers to read some of the answers themselves before believing any of the numbers. Nothing on the Legal AI page, in the benchmark report or in the agreement says the models work alongside a supervising lawyer, names the point at which an app acts without one, or says what happens when an output is wrong. The Legal AI page also carries an Our Approach to AI video.
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.
The vendor's release of 12 June 2025 reports that Rio Tinto's legal function replaced a SharePoint based system with iManage Work 10, Threat Manager and Share. It covered more than 200 users across Australia, Singapore, the United Kingdom and North America, and 4.5 million documents were migrated. User engagement reached 80 percent within four months of going live, with half the department classified as active users. A named Digital Transformation Lead is quoted. Those figures measure the document management deployment, and the same release records Ask iManage as something the customer is exploring, not running. Statements about the AI come from the Director of Information Technology at Jones Walker LLP on the January 2026 release, a manager at Rio Tinto in trade press, and a Senior Associate at Simpson Grierson describing a trial. No figure attaches to an AI outcome, and no method is published for the 80 percent.
On the Legal AI page, Jared Gullbergh of Buchanan says a single AI app was calculated to save over 1,500 hours of work a year while producing better work product. Charly Duffy of Coghlan Duffy speaks on the App Builder, and Jeff Sabado, Director of Knowledge Management at Davis Wright Tremaine, says the tools already respect the firm's client and matter based security and ethical walls. Company figures are published without reference to any deployment: more than 7,000 organizations served, more than 800 firms starting to use the AI in 2025, over forty percent of new customers choosing AI at purchase, and more than 150 integrations. No deployment is dated, and the basis for the 1,500 hour figure is not published.
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.
Customer Data is the customer's Confidential Information under section 6.1 and must be safeguarded in perpetuity under 6.3(c)(ii), longer than the five years the agreement gives other confidential information. The customer remains sole owner under 5.2. The AI page states that by default neither iManage nor its third party model providers use customer data to train or retrain models, that data is encrypted and that iManage does not have access to the underlying content. Security Policy Manager is sold as a product for information barriers, and the January 2026 release states that AI interactions carry native enforcement of permissions, information barriers and security policies. Retention and deletion are set out in the DPA, and Exhibit B records that each customer's data is logically separated. Privilege and work product are not addressed in the agreement or on the AI pages. The training promise is prefaced "by default", with an opt in whose scope is not published.
Under the agreement, Customer Repository Data is confidential and NetDocuments disclaims ownership of it (5.2.1). Use is limited to providing the Services, supporting third party applications the customer selects, help desk support the customer starts, and legal demands (5.2.2). Ethical walls are a documented product with access controls at user, document and workspace level, and the vendor says the AI works inside a firm's existing permissions and walls. The ndMAX FAQ says inputs and outputs are not kept beyond producing the answer and are not used to train the model. The position on the model provider is explicit, including an agreement with Microsoft that keeps customer content out of abuse monitoring. Privilege and work product are not addressed in the agreement or on the product pages. The training statement covers the LLM rather than NetDocuments' own use.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The product answers legal questions from a firm's documents, extracts clauses, compares redlines and applies contract playbooks. The Cloud Services Agreement addresses acceptable use, warranties, indemnities and liability and says nothing about advice, competence or supervision, and its warranty disclaimer at 8.5 does not say what the product is and is not. The AI and Ask iManage pages carry no disclaimer, and the website terms of service govern the website, not the product. The agreement confines use to Authorized Users for the customer's internal business operations, every segment page addresses law firms, corporate legal, compliance and other professional functions, and there is no consumer surface.
The product's AI apps analyze NDAs, assess contract risk, produce judge analytics and answer questions about a matter. The Software as a Service Agreement covers use restrictions, AI restrictions on the customer, warranties and liability without touching advice, competence or supervision. Section 9.4 disclaims that results will meet any requirement, which is a warranty disclaimer, not a statement of what the product is and is not. The Legal AI, App Builder and Ethical Walls pages carry no disclaimer. The audience is clear: every segment page addresses law firms, corporate legal departments and public sector legal teams, and the agreement limits use to internal business purposes by named users, so there is no consumer surface. NetDocuments also publishes Terms of Use.
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.
The AI page states that the platform approach lets organizational data be used securely, responsibly and ethically, whether by iManage or a third party. The vendor publishes an ESG report and a diversity statement, and trade coverage records the appointment of a Vice President of AI Engineering in 2026. Outside the trust center, nothing published names who inside iManage is accountable for AI governance, describes what is tested before an AI capability ships, or discloses any finding about uneven output across matter types or populations. No governance standard such as ISO 42001 is published. The trust center is hosted on Vanta.
The Legal Context Engineering Benchmark is a signed technical report by the VP of Product describing what is tested and how. It includes a test harness that compares the two tool setups before a run and refuses to proceed if they differ in anything but the capability under test. Citations are checked automatically against the source documents, with human spot checks, and the method is published for others to apply. The report also states its own limits. It does not yet measure change over a matter's life, it withholds the context build cost because that varied about sixfold across ten matters, and it was drafted with AI assistance. No responsible AI framework, policy or standard such as ISO 42001 is published. Nobody is named as accountable for AI governance, as distinct from authoring the benchmark, and nothing addresses uneven output across matter types or populations. An appendix PDF with per matter scorecards accompanies the report.
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.
The DPA commits to notifying the customer of a Security Incident without undue delay and in any event within 48 hours, and to helping with the customer's own notification duties. The customer can access, extract and delete Customer Data at any time during the term. After expiry the vendor keeps it for 90 days so the customer can extract it, then disables the account and deletes within 30 days. Backups are never held beyond 90 days. Exhibit B sets out AES-256 encryption at rest, least privilege access and logical separation of each customer's data. It also commits to annual independent assessment against ISO 27001 and ISO 27017, annual third party penetration testing and Tier 3 or better data centers. The vendor keeps a subprocessor list and gives 60 days' notice before a new one touches customer data. Customers have 30 days to object, with termination and a pro rata refund if the objection is not resolved.
Under Exhibit B of the Software as a Service Agreement, NetDocuments must report confirmed Unauthorized Access to the customer without unreasonable delay and within 24 hours, with a root cause analysis and mitigation plan. Customer Repository Data is encrypted in transit and at rest, and access follows least privilege, removed when employment ends. Independent penetration tests run at least twice a year, with monthly internal and external vulnerability scans. Document and administrative activity logs are reviewable by the customer for ninety days, and NetDocuments keeps log information for at least a year. Data is stored across two or more geographically separate data centers, with a two hour recovery point and six hour recovery time. Under section 7.4 the customer is responsible for export, and NetDocuments may destroy remaining data thirty days after the term ends. Section 12.2 permits Common Subcontractors and promises notice of material changes without naming them, so no subprocessor list is published; Microsoft, for the AI, is the only processor named anywhere.
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.
Section 9.1 gives a defense and indemnity against third party claims that the Services infringe intellectual property rights, with three named exclusions. Section 9.4 sets out the remedies: procuring the right, modifying or replacing the service, or terminating with a refund of the prepaid balance. Section 10.2 caps each party at the greater of twelve months' fees or fifty thousand US dollars. Section 10.1 excludes consequential loss for both parties, and 10.3 lifts both the exclusion and the cap for fraud, for the indemnities, for negligence causing death or personal injury and for willful misconduct. Section 8.3 warrants performance by qualified personnel to industry standards, that the Cloud Services are free of harmful code, and that they will perform substantially in accordance with the documentation. Exhibit A adds a 99.9 percent availability commitment with service credits, and a right to terminate where availability falls below 99.0 percent in three months of any six. No insurance is stated, and nothing addresses liability for a wrong AI output specifically.
Section 11.1 of the Software as a Service Agreement gives a defense and indemnity against third party claims that the Services infringe intellectual property, with three named exclusions and modify, license or terminate remedies at 11.3.3. Section 10.3 caps each party at the annualized subscription fee paid or payable at the time of the event, with indemnities carved out of the cap. Section 10.1 excludes indirect and consequential loss, and 10.4 preserves liability for death or personal injury caused by negligence and for fraud. Section 9.2 warrants professional and competent performance, and Exhibit A publishes a 99.9 percent availability target with graduated service credits. No insurance is stated. Section 10.1 also removes every liability limit for a customer's breach of the AI Restrictions in section 3.5, so NetDocuments may recover lost profits and all indirect and consequential damages without a cap, while the customer's own recovery stays capped at a year of fees.
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.
A Microsoft partnership page describes a plugin connecting Microsoft 365 with iManage while keeping the repository as the single source of truth. A Model Context Protocol connection is sold as an open standard that lets AI and legal technology tools reach iManage content without custom connectors, and the January 2026 release states that the same underlying AI services expose content to third party applications through MCP with permissions and information barriers enforced and content never leaving the platform. Access software (ndOffice equivalents, mobility clients) is defined in the agreement, and the Rio Tinto release describes API integration between iManage and that customer's own digital legal hub with iManage as the core content layer. The agreement says third party products and any data transfer to them are between the customer and that provider, with no iManage warranty. The partnership page, the agreement and the release do not set out what moves in which direction. iManage also publishes an MCP product page and a partner directory.
The vendor says the platform integrates with more than 150 technologies, including Microsoft 365, Teams and DocuSign, and publishes an App Directory and partner locator. It ships ndOffice and mobile access software defined in the agreement. In 2026, Model Context Protocol connectivity let external AI applications and agents reach NetDocuments content and run workflows without downloads or manual transfers. The vendor names ChatGPT, Claude, Claude Cowork and its legal plugin, Microsoft Copilot, Perplexity, Google Gemini Enterprise, Harvey and Legora, and says this works within existing permissions, ethical walls and audit controls with no content leaving the platform. The agreement sets out API access: it is not included in the subscription, is granted on request after registering an application, may not be shared, and may carry further terms. The Legal AI page, the press material and the agreement do not say what moves in which direction for each integration, and NetDocuments also publishes support documentation.
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.
Region is a defined term in the SLA, availability is measured per region with service credits, and DPA 12.4 states that all Customer Data is stored in the geographic region set out in the applicable Order. The same clause discloses that iManage may provide the Services from other regions, naming the United States, the United Kingdom, Canada, Australia and India, so iManage personnel there may have access to Customer Data. DPA 12.1 warns that this applies even where the customer has agreed to hosting in the EEA or the United Kingdom. Transfers out of the EEA and UK run on the 2021 Standard Contractual Clauses with the UK Addendum, incorporated in Schedule 1. Exhibit B describes tenancy as logical separation of each customer's data. The agreement does not list the regions a buyer can choose; they are set in the Order, and iManage publishes a separate Cloud page. iManage AI runs only on the cloudimanage.com endpoint.
Services Region is a defined term in the Software as a Service Agreement. Section 2.4 commits NetDocuments to store Customer Repository Data in the region on the Order Form and not to transfer or access it except at the customer's or a user's direction or as law requires; sharing and access by users outside the region are excepted where the customer sets them up. Regional entry points cover the United States, United Kingdom, Germany, Australia and Canada, and the contracting entity follows the region. Tenancy is described as the customer's private repository on the ND Network. Customer Managed Storage Locations using ndFlexStore or ndMirror let a customer keep repository data on servers NetDocuments does not host. Processing is addressed separately from storage: section 4.2 says help desk staff or subcontractors may work from regions outside the customer's Service Region, and the customer must say in advance if its policies or law restrict that. Where Azure OpenAI inference runs for a customer in a given region is not published.
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.
Exhibit B binds iManage to security practices at least as protective as ISO 27001 and ISO 27017 or equivalent standards, assessed annually by an independent third party, to annual independent penetration testing, and to a business continuity plan compliant with ISO 22301. On request, no more than once a calendar year and subject to the agreement's confidentiality terms, iManage will make available its ISO 27001 certification and SOC 2 or SOC 3 reports. A customer may also commission its own audit once a year, at its own cost, through an accredited firm on twenty days' notice. No auditor, certificate number, audit period or report date is published. A trust center runs at compliance.imanage.com, hosted on Vanta.
Exhibit B of the Software as a Service Agreement commits NetDocuments to an annual SOC 2 Type 2 audit for security, availability and privacy and to maintaining ISO 27001 certification or a comparable successor. It says all data centers fall within the annual ISO 27001 audit and that the listed controls are verified in both. No auditor, audit period or report date is published. The agreement names a trust website, trust.netdocuments.com, a TrustShare portal offering Due Diligence Response material.
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.
AI processing stays on the iManage platform, with content not moved outside it, and the AI is available only on the cloudimanage.com endpoint. The subprocessor list names Microsoft Corporation (Azure). The DPA commits to 60 days' notice before any new subprocessor touches customer data, with an objection right and a termination remedy. The models and their providers are not named: the AI page refers throughout to "our third-party model providers" without naming one. The Azure entry shows where processing happens, not whose model runs. The Microsoft relationship is described in product terms, a Copilot plugin and AI Services feeding Copilot, which is a different fact from the provider of the models behind Ask iManage.
The Legal AI page says ndMAX is powered by Microsoft Cognitive Services and Azure OpenAI and their suite of OpenAI models. Only inputs and outputs are shared with the LLM, they are not kept beyond the exchange, and an agreement with Microsoft keeps customer content from triggering Microsoft's abuse monitoring. The same FAQ reserves the right to change what sits underneath. The solutions are described as model agnostic, so better models may be used as they are developed, after internal testing. No specific model is named and no inference location is stated. The only notice mechanism in the agreement is the general notice of material changes to Common Subcontractors in section 12.2, which is not a commitment about models. MCP connectivity, which lets a firm's own ChatGPT, Claude, Copilot or Harvey reach NetDocuments content, reflects the customer's model choice, not the vendor's supply chain.
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.
Every path on the site ends at Book a Demo, and no price, band or unit figure is published. The AI FAQ states that Mailbox Assistant, AI Services and Ask iManage are not included in a standard cloud subscription and must be bought as additional products. The product catalog splits the platform into named modules a buyer can map to a quote. The agreement adds the mechanics. Fees are set in the Order in a named currency, orders cannot be canceled and payments are not refundable, and each order renews automatically for one year terms unless either party gives 30 days' notice. Late payment accrues 1.5 percent per month, disputed fees must be raised within 30 days, and service credits are a percentage of one twelfth of the annual subscription fee. Section 3.2 confirms the license is per user by prohibiting multiple users from sharing a per user feature. Fees may also be set by a Partner rather than by iManage.
Every purchase path on the site ends at Contact Sales or a demo request, and no price, band or unit figure appears on the site. The agreement supplies the structure. Fees are set in an Order Form as recurring Subscription Fees with a Billing Commencement Date. Under section 4.2, a customer exceeding the user, lawyer, document or other license metrics in the Order Form is invoiced for the overage. Section 4.4 caps annual increases at CPI plus five percent, no more than once a year, section 8.1 requires disputed invoices to be raised within thirty days, and Exhibit A sets service credits as a share of the annual fee. Tier names appear in product material, with ndMAX Enterprise named as the plan that receives Smart Answers and expanded MCP connectivity. The unit, the cap on increases and the plan structure are published before a sales call; the price is not.
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.
The site has separate pages for global, midsize and small law firms and for financial services, accounting, government, media and entertainment and other knowledge workers. Department pages cover corporate legal, compliance, finance, human resources and knowledge management, and the customer evidence spans a US law firm and a global corporate legal department. Practice coverage is described through the work the AI does, not by practice area. It answers questions across the repository, extracts clauses, compares redlines, summarizes, structures results into tables by attributes such as judges and jurisdictions, and applies a corporate legal team's contract playbook, with transaction work covered by Closing Folders. No practice area, jurisdiction or language is named as out of scope. The stated limit is technical: AI capabilities exist only on the cloudimanage.com endpoint, and customers are still being migrated there.
The site has separate pages for small, midsize and large law firms, corporations, in house legal departments, public sector, federal government, and state and local government and higher education. Regional pages cover Asia, Australia and New Zealand, North America, South America, and the UK and Europe. The vendor says it supports more than 7,000 law firms, corporate legal departments and public sector organizations. Practice coverage is described through tasks rather than areas. The ndMAX Studio library covers automatic profiling, NDA analysis, contract risk analysis, playbook creation and application, deposition preparation, judge analytics, offer letter workflows and translation. The benchmark is split evenly between transactional and litigation matters, the closest thing to a statement of where the AI has been tested. No practice area, jurisdiction or language is named as out of scope, and the eDOCS line for on premises customers has no stated boundary with the cloud product.
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?
The AI page answers the training question for both iManage and its model providers and extends the no training promise to AI inputs and outputs, adding that data in the cloud is encrypted and that iManage does not have access to the underlying content. Two qualifiers come with it. The sentence is prefaced "by default". The same answer discloses that customers may opt in to certain services that let iManage collect limited insights for the sole purpose of improving those services, described as optional and disclosed at the time of use.
Nothing published says what an insight is or whether it can reach document content. The Cloud Services Agreement and its Data Protection Agreement never name training, either way. Processing is confined to Documented Instructions and to incidental business operations: delivering functionality, fixing problems and providing support. A separate undertaking bars deriving information from customer data for advertising or similar commercial purposes and selling personal data.
The ndMAX FAQ says only inputs and outputs are shared with the LLM, that they are not kept beyond the exchange, and that they are not used to train it. The App Builder page adds that an agreement with Microsoft ensures customer data is not used to train the Azure OpenAI model and is not subject to human or machine monitoring of sensitive content. The statement covers the LLM, which is Microsoft's model, and nothing on those pages or in the agreement says whether NetDocuments uses customer content to improve its own systems.
The agreement limits use of Customer Repository Data to providing the Services and never names training. It separately defines Platform Data as data and statistics generated through use of the Services, which NetDocuments may use to analyze performance and usage, to improve the Services and, in anonymized aggregate form, for benchmarking. That clause names no model and covers usage data rather than repository content.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No retention period is published for what a lawyer types into the AI. The vendor states that data processed by iManage AI stays on the platform under the same governance as everything else, which says where it goes and not for how long. The document regime around it is precise: under the Data Protection Agreement the customer can access, extract and delete Customer Data at any time during the term, iManage keeps it for 90 days after the subscription ends so the customer can extract it, then disables the account and deletes within 30 days, with backups never retained beyond 90 days, and the platform sells Records Manager and Disposition Manager for the customer's own retention policies.
None of that is stated to apply to Ask iManage prompts and generated answers specifically, and no zero retention option is offered.
The ndMAX FAQ says inputs and outputs are not kept beyond the exchange needed to produce the output, a stated period of none rather than a window the customer configures. No zero retention setting or alternative window is offered. An output a user saves to the repository becomes Customer Repository Data, governed by the customer's own retention and the agreement's deletion terms. Exhibit B commits to document level activity logs the customer can review for ninety days, with NetDocuments keeping log information for at least a year; that is audit metadata, not prompt content.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
iManage is itself the source system, and the January 2026 Ask iManage release states that all AI interactions stay inside the governed platform with native enforcement of permissions, information barriers and security policies, and that content is not moved outside the environment. The same applies to third party tools reaching content through the Model Context Protocol. Security Policy Manager is sold as a product for building those barriers with multi level security, and the product page describes the assistant as aware of permissions and respecting access and metadata.
The enforcement point is not published: whether a barrier is applied before the search runs or filters results afterwards, which decides whether an agent can infer that walled content exists.
Ethical walls are a documented product, with access controls at user, document and workspace level and reports on who accessed which document. Three statements place the AI inside them. The Smart Answers release of 4 March 2026 says answers are produced within existing security, governance and ethical wall controls, and that MCP connectivity works within existing permissions, ethical walls and audit controls with no content leaving the platform.
On the Legal AI page, the Director of Knowledge Management at Davis Wright Tremaine says the tools already respect the firm's client and matter based security and walls. The enforcement mechanism at the retrieval layer is not published, including whether a wall applies before or after the search runs, which bears on whether an agent could infer that walled content exists.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The agreement commits to notice where lawfully permitted and adds a protocol for law enforcement requests. Section 6.4 obliges the receiving party, before disclosing compelled confidential information, to notify the disclosing party in writing so it can oppose the disclosure or seek a protective order, and to give reasonable assistance, with any disclosure limited to the portion legally required. Under section 6.5, iManage will not disclose to law enforcement unless required by law and will try to redirect the agency to the customer.
If compelled, it will notify the customer and provide a copy of the demand, assess the legitimacy of the request including the sender's identity, seek clarification of scope and oppose blanket requests. It will not give any agency unfettered access, the platform encryption keys or the ability to break the encryption, or access where iManage knows the data is to be used for purposes other than those stated. No transparency report or request statistics are published.
Section 6.2 of the Software as a Service Agreement permits disclosure of the other party's confidential information to comply with law or a court order. It says that for NetDocuments this may include Customer Repository Data, and requires prior notice of the compelled disclosure where legally permissible, plus reasonable assistance at the disclosing party's expense if that party contests it. No transparency report, request statistics or law enforcement guidelines page is published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Ask iManage answers from the firm's own repository and cites back to it, and the vendor stresses that it uses the firm's actual documents and never leaves iManage Work. No external collection of law, filings or public material and no third party content source is named. The rights basis for the material the AI reads sits in the agreement rather than in a license: section 8.4 has the customer warrant that it has the necessary rights and consents in the Customer Data, and section 5.2 leaves ownership with the customer.
The product ships no body of law: Smart Answers draws on the firm's own repository and matter history with citations, and the Legal Context Graph organizes that same content. Rights in the customer's material are allocated by the agreement rather than licensed by the vendor. Section 9.3 has the customer warrant it may possess, store and transmit its repository data, and section 5.2.1 has NetDocuments disclaim ownership of it.
The August 2026 extension of Legal Authorities to the Legal Context Graph implies a source of law outside the firm's repository, and the press release, benchmark report and agreement state no license, provenance or update schedule for it. The benchmark documents, stated to come from public regulatory filings and court dockets, are a test set rather than a product source.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The assistant answers from the firm's own documents and emails and cites to them, and does not claim to retrieve reported cases. No citator, treatment signal or prompt to verify legal authority is described. A firm using Ask iManage to find a precedent in its own files relies on a separate research tool for good law status.
The product answers from the firm's own documents and matter history and cites back to them. The Legal AI page, the Smart Answers press release and the benchmark report describe no treatment signal, citator license or verification prompt for legal citations. In August 2026 NetDocuments extended Legal Authorities to the Legal Context Graph, and it publishes a product page on that feature. Most citations point to the firm's own files rather than reported authority.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The published three step method covers interpreting the question, retrieving the most relevant material and generating a cited answer, and stops there. The product page claims grounded outputs rather than hallucinations because the system draws only from real documents, which concerns the source material rather than a path for declining to answer. No confidence score, no state for having no answer, and no evaluation of either is published.
The Legal Context Engineering Benchmark of 18 August 2026 defines Unanswerable as one of six question types in its 300 question set, covering questions the record is silent on, so abstention is tested deliberately. The report publishes a transcript in which the agent declines to give a date it cannot support from the documents, and scores that answer against the rubric openly. The published example shows abstention in the run without the context layer. The report gives no breakdown of how often the system abstains correctly against how often it should have.
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 kept by Damien Charlotin holds no entry naming iManage or Ask iManage. The assistant answers from a firm's own repository and cites documents the firm already holds rather than generating legal authority.
The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming NetDocuments, ndMAX or Smart Answers; its records that name legal-specific products name other vendors. The assistant answers from the firm's own documents and cites back to them rather than producing legal authority.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
iManage frames the AI around explainable and auditable outcomes in regulated settings, information barriers and conflicts management. It states that its platform approach lets organizational data be used securely, responsibly and ethically, and its essay series addresses how law firms should approach AI adoption. The AI page, the Ask iManage page, the essays and the January 2026 release name no ABA formal opinion, state bar opinion, regulator's AI guidance or court standing order. The professional responsibility material that does exist is about confidentiality and conflicts.
The Ethical Walls page frames its controls around preventing conflicts of interest, maintaining client confidentiality and ethical standards, and showing compliance to clients and regulators, which engages a lawyer's duties directly. The Ethical Walls page, the Legal AI page and the resource listings name no ABA formal opinion, state bar opinion, court standing order or regulator's AI guidance, and the AI adoption resources focus on investment and results rather than professional responsibility.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The AI is sold on accelerated productivity, reduced manual effort and time reclaimed for work of greater value, and the January 2026 release describes attorneys reaching an answer instead of wading through search results. The platform is sold to law firms that bill clients for the work it speeds up. The Ask iManage page, the AI page and the release do not address how AI assisted work is recorded against a matter, whether compressed time is disclosed to the client, or what a firm should say when research that took hours now takes minutes.
The vendor sells products adjacent to time recording and a conflicts and intake product, and neither is presented as answering the fee question.
The product sits inside law firms' fee relationships with clients. A named customer at Buchanan says one AI app was calculated to save over 1,500 hours of work a year. The Legal Context Engineering Benchmark quantifies a different saving: 48 percent off the cost of a correct AI answer, about $940,000 a year for a 2,000 person firm. That is the firm's own AI spend, not anything on a client's invoice. Nothing on the Legal AI page or in the benchmark report addresses how AI assisted work is recorded on a matter for billing, whether time saved by the assistant is disclosed to the client, or what a firm should tell a client whose work took an hour instead of six.
The platform holds documents rather than issuing invoices, and it is bought by firms that bill clients for the work it speeds up.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A maintained subprocessor page names Microsoft Corporation (Azure), with an email subscription for change notices. The Data Protection Agreement is published in full as Exhibit C to the public Cloud Services Agreement, with the 2021 Standard Contractual Clauses and the UK Addendum in its schedule, alongside a security exhibit setting out the controls. The DPA commits to 60 days' notice before a new subprocessor touches customer data, a 30 day objection right and a termination remedy if the objection is not cured.
The AI page refers to "our third-party model providers" and never names them, and the Azure entry states where processing runs, not whose model reads the documents.
A firm answering a client's AI clause can point to the ndMAX FAQ, which names Microsoft Cognitive Services and Azure OpenAI as what sits behind the generative features, states that inputs and outputs are not kept beyond the exchange and are not used to train the model, and records an agreement with Microsoft exempting customer content from abuse monitoring. The full Software as a Service Agreement and its security exhibit are published and forwardable, covering incident notice and control commitments.
Section 12.2 of the agreement reserves the use of Common Subcontractors with notice of material changes but publishes no list of who they are, so there is no current subprocessor register to forward. The Data Processing Addendum, which is drafted to be passed on, is provided on request under section 6.3 rather than published.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Each answer is anchored with citations so a user can verify the sources it rests on, the vendor describes AI outcomes as explainable and auditable in regulated settings, and the platform sells Threat Manager for monitoring user activity and audit reporting across the repository. Between them a firm can show which documents an answer drew on and who accessed what. No export for each document covering the model used, the retrieval performed and the human verification applied is published, and no disclosure template or guidance for a court's standing order on AI use is offered.
Exhibit B of the agreement commits to logging that lets a customer review document-level events and administrative changes for the previous ninety days, with NetDocuments retaining log information for at least a year, and the Ethical Walls page describes reporting on exactly who accessed which documents; on the output side, Smart Answers returns answers with citations to the source documents. Between them a firm can establish which documents an assistant touched and what an answer was grounded in.
No per-document export covering the model used, the retrieval performed and the human verification applied is published, and no disclosure template or guidance for a judge's standing order on AI use is offered.
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.
- UPL and Professional Responsibility Posture
- Good Law Verification
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
iManage
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Integration / interoperability
The iManage connector is now available in Harvey's Connector Library, which Harvey made generally available the same day.
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Integration / interoperability
iManage released a ChatGPT plugin as part of OpenAI's Astra for Law launch.
Source
NetDocuments
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Product / capability
NetDocuments added six prebuilt AI apps to ndMAX Studio, taking the catalog to 45 and extending it into family law and estate planning.
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Product / capability
The ndMAX Legal AI Assistant now lets users share a copy of an AI Assistant thread with other users in their organization, and the recipient can read the full conversation and continue it.
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Integration / interoperability
NetDocuments released a ChatGPT plugin as part of the Astra for Law launch.
Source
In summary
iManage
iManage is a cloud document and email management platform for law firms, corporate legal departments, financial services, accounting and government. It is built around iManage Work, with products for information barriers, records, conflicts and knowledge search. Its AI layer, sold separately, includes AI Enrichment and Ask iManage, which answers questions from the firm's own repository with citations the user can open. According to the AI Legal Index, iManage's published agreement caps liability at the greater of twelve months' fees or $50,000 and commits to 60 days' notice before any new subprocessor.
NetDocuments
NetDocuments is a cloud document and email management platform for law firms, corporate legal departments and public sector legal teams, based in Lehi, Utah, and used inside Word, Outlook and Teams. Its AI suite, ndMAX, includes a Legal AI Assistant, Tabular Review, an App Builder and Smart Answers, which answers from the firm's repository with citations. The AI Legal Index records that on 18 August 2026 NetDocuments published a benchmark measuring answer quality across 300 questions on ten real matters, together with its method. Its agreement commits to store repository data in the region on the order form. Its AI runs on Microsoft Azure OpenAI.
Questions buyers ask
iManage vs NetDocuments: which is better for a law firm?
They are close, and they differ on evidence. NetDocuments publishes measured AI accuracy and contractual data residency. iManage publishes a subprocessor list with a strong change notice right and a detailed law enforcement protocol. Both enforce the firm's own permissions and ethical walls inside their AI, and both sell the AI as an addition to the platform. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does iManage train AI on client documents?
iManage states that by default neither it nor its third party model providers use customer data in the iManage Cloud, including AI inputs and outputs, to train or retrain models, and that it has no access to the underlying encrypted content. Customers may opt in to services that let iManage collect limited insights to improve those services. The Cloud Services Agreement never names training, so the commitment is a published policy rather than a contract term. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Do iManage and NetDocuments enforce ethical walls in their AI?
Both state that they do. iManage says all AI interactions stay inside the governed platform with native enforcement of permissions, information barriers and security policies, including for outside tools connecting through the Model Context Protocol. NetDocuments says Smart Answers and its MCP connections operate within existing permissions, ethical walls and audit controls, with no content leaving the platform. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Which AI model does NetDocuments use?
NetDocuments names Microsoft Cognitive Services and Azure OpenAI and their suite of OpenAI models as the engine behind ndMAX, and states that only inputs and outputs are shared with the model, that they are not kept beyond producing the answer, and that they are not used to train it. An agreement with Microsoft keeps customer content out of abuse monitoring. It reserves the right to change models as better ones appear. iManage refers to third party model providers without naming them. 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 to weigh. NetDocuments' benchmark is its own internal test rather than third party validation, and its published example of the system declining to answer comes from the run without its context layer. NetDocuments' agreement removes every liability limit for a customer that breaches its AI restrictions, while the customer's own recovery stays capped at one year of fees. Both training commitments are published policies rather than contract terms. iManage's is prefaced by default, with an optional insights program whose scope is unpublished, and NetDocuments' covers the Microsoft model rather than its own use. Neither vendor reviewed this page.