GITNUXSOFTWARE ADVICE
Legal Professional ServicesTop 10 Best Provisional Patent Application Software of 2026
Top 10 Provisional Patent Application Software roundup with a technical comparison for inventors and patent teams, including UpCounsel, Rocket Lawyer, LawDepot.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
UpCounsel
Matter API for schema-based intake provisioning and workflow task automation.
Built for fits when teams need API-driven provisional intake and governed matter workflows..
Patent attorney software by Rocket Lawyer
Editor pickGuided provisional application questionnaire that generates filing-ready document packets.
Built for fits when teams need consistent provisional drafts routed to counsel review..
LawDepot
Editor pickGuided provisional drafting forms that generate a structured application draft from captured fields.
Built for fits when small teams need repeatable provisional drafts without system integrations..
Related reading
Comparison Table
This comparison table maps Provisional Patent Application Software tools by integration depth, data model, and the automation and API surface exposed for document generation and filing workflows. Readers can compare schema design and provisioning patterns, plus admin governance features like RBAC, audit log coverage, and configuration controls that affect throughput and extensibility across teams. Included tools such as UpCounsel, Rocket Lawyer attorney software, LawDepot, HotDocs, and Contract Express are evaluated on these mechanisms rather than feature lists.
UpCounsel
document workflowUpCounsel runs a software-driven intake and document workflow that supports assembling provisional patent application materials for attorney review.
Matter API for schema-based intake provisioning and workflow task automation.
UpCounsel’s core mechanism is a matter-based data model that connects client intake, inventorship details, and drafting artifacts to a filing package timeline. The automation surface includes configuration for status-driven tasks and attorney review handoffs, with an API meant to support provisioning and external system synchronization. Governance controls typically include role-based access and audit logs that track key actions across the lifecycle of a provisional filing packet. Integration depth is strongest when external systems need to push structured inventorship and invention narratives into the workflow rather than copy content manually.
A tradeoff is that the automation and API surface focuses on matter workflows and document packaging rather than giving low-level control over every drafting clause. UpCounsel fits when legal ops or product teams want consistent intake schemas, controlled approvals, and repeatable provisioning for multiple provisional applications each month.
- +Matter-centric data model ties intake fields to filing packages
- +API supports provisioning and automation triggers for workflow syncing
- +Role-based access and audit log entries support governance across matters
- +Schema-driven metadata helps keep inventorship and claims aligned
- –Drafting automation targets packaging steps more than clause-level tuning
- –Some workflows still require manual attorney review and document iteration
Legal operations teams
Provision provisional workflows from internal records
Lower intake variance across filings
IP counsel teams
Run attorney review on structured packages
Faster handoffs with audit trail
Show 2 more scenarios
Product and R&D programs
Standardize invention intake across groups
More repeatable invention capture
Uses configuration and metadata capture to route submissions into consistent provisional packet creation.
Compliance and governance leads
Enforce RBAC and auditability
Clear accountability for changes
Maintains role-scoped access and audit log records for key matter actions and updates.
Best for: Fits when teams need API-driven provisional intake and governed matter workflows.
More related reading
Patent attorney software by Rocket Lawyer
forms automationRocket Lawyer offers a software-first document flow for preparing patent paperwork including provisional application form inputs and generated documents.
Guided provisional application questionnaire that generates filing-ready document packets.
Rocket Lawyer supports provisional patent application workflows through guided questionnaires, clause-like input fields, and generated documents that map directly to filing components. Document assembly follows a schema-driven path from captured details to the final application package, which reduces manual copy and paste errors. Integration depth is best judged at the data and document layer since automation is largely tied to its own form and generation pipeline. Admin and governance controls are oriented around account ownership, roles, and audit visibility for generated and updated materials.
A tradeoff appears when organizations need custom automation logic beyond the provided questionnaire schema and document templates. Rocket Lawyer fits teams that need consistent provisional packages quickly and then route the generated files to internal counsel review or an external filing workflow. The platform works best when the attachment set and submission sequence align with its document generation structure.
- +Schema-based application inputs reduce manual drafting variance
- +Document generation composes complete provisional filing packets
- +Account governance supports role-based access and controlled edits
- –Limited extensibility for custom automation beyond built-in templates
- –Integration is strongest at document outputs rather than workflow events
- –Data model flexibility can be constrained by the guided questionnaire schema
Solo inventors
Draft provisional package with fewer errors
Faster draft completion
Patent firms
Route generated packets to attorney review
Reduced rework cycles
Show 2 more scenarios
Startup legal ops
Maintain consistent filing document structure
More predictable submissions
A structured data capture flow helps keep repeated provisional filings uniform across teams.
In-house IP teams
Assemble provisional materials from standard templates
Lower administrative overhead
Document assembly consolidates disclosures and supporting sections into a single submission-ready set.
Best for: Fits when teams need consistent provisional drafts routed to counsel review.
LawDepot
questionnaire builderLawDepot provides guided questionnaire-driven document creation and account-based storage for provisional-related filings and drafts.
Guided provisional drafting forms that generate a structured application draft from captured fields.
LawDepot fits provisional patent application work where schema-driven inputs reduce omissions. The data model emphasizes inventor and disclosure fields that flow into a generated draft, which supports predictable revisions across attempts. The automation surface is mainly template-driven generation with limited visible hooks for external workflow orchestration.
A tradeoff appears in integration depth for enterprise systems. LawDepot does not present a documented API surface or an admin-grade RBAC model in the drafting flow, which limits governance options for regulated teams. LawDepot works well for solo inventors or small teams that need repeatable drafting output without building custom provisioning or automation.
- +Schema-driven provisional inputs reduce missing sections during drafting
- +Generated document structure supports consistent revisions across iterations
- +Form workflow matches typical invention disclosure capture
- –Limited visible API and extensibility for external automation
- –Governance controls like RBAC and audit log are not evident
- –Automation is template-driven rather than workflow-configurable
Solo inventors
Draft a provisional before disclosure sharing
Fewer omissions in drafts
Small patent teams
Standardize provisional templates per client
More consistent deliverables
Show 1 more scenario
Freelance patent writers
Reuse structured disclosure inputs
Lower drafting rework
Repeatable form inputs reduce rework when generating near-identical application drafts.
Best for: Fits when small teams need repeatable provisional drafts without system integrations.
HotDocs
rules-based generationHotDocs generates documents from structured questions and templates, enabling programmable provisional application data models and repeatable outputs.
Guided interview templates with variables and conditional rules that drive repeatable provisional application drafts.
HotDocs provides document generation built on reusable templates for provisional patent applications, with structured input fields driving consistent drafts. Automation is expressed through template variables, conditional logic, and guided interview flows that reduce manual editing across filing cycles.
Integration depth centers on connecting HotDocs outputs to upstream and downstream systems via exports, connectors, and available API and web services. The data model is template-first, with schema-like field definitions that govern what prompts, documents, and downstream mappings can support.
- +Template variables and interview flows enforce consistent input collection
- +Conditional logic reduces rework across variant filing scenarios
- +Exports support downstream filing workflows and document control
- +API and web services enable integration and automation orchestration
- –Template-first schema can limit dynamic data model changes at runtime
- –Complex governance requires careful role and template permission design
- –Auditability depends on external system logging and review workflows
- –High-throughput runs can bottleneck on document rendering steps
Best for: Fits when legal teams need structured, interview-driven draft generation for provisional filings.
Contract Express
clause assemblyContract Express uses clause assembly and structured inputs to produce consistent legal documents, including provisional application support drafts.
Guided provisional application drafting with template-driven document generation and controlled review workflow.
Contract Express generates and manages provisional patent application drafts by guiding form capture into a document workflow. Its value comes from a contract-style document system that supports clause and template configuration for consistent filings.
Integration depth is centered on how well the tool exports structured drafting data into external document and workflow systems. Automation and governance rely on role-based access controls and controlled review steps tied to a traceable document lifecycle.
- +Document workflow built around structured provisional filing inputs
- +Template and clause configuration supports repeatable drafting schemas
- +Role-based access controls support controlled authoring and review
- +Draft-to-document lifecycle supports auditability of changes
- –Automation surface limits extensibility compared with API-first drafting tools
- –External data integration depends on export formats rather than native schema mapping
- –Complex multi-step workflows require careful configuration discipline
Best for: Fits when patent teams need schema-driven drafting with controlled review steps.
SpringCM
DMS governanceSpringCM provides DMS and workflow automation for managing provisional draft versions with audit trails and configurable governance.
Workflow automation with schema-based metadata and audit logging across draft and review stages.
SpringCM is a provisional patent application software choice for teams that need document and collaboration workflows tied to a review pipeline. It centers on a controlled content repository with permissions, audit trails, and schema-based metadata for application artifacts.
SpringCM also supports automation via configurable workflow rules and exposes an API surface for integration, provisioning, and process orchestration. Governance features like RBAC, administrative controls, and audit logging fit organizations that require traceability across drafts, reviews, and submissions.
- +RBAC and configurable permissions tied to records and workflow states
- +Audit log coverage for document and workflow changes
- +API support for custom integration, provisioning, and automation
- +Metadata schema modeling to standardize application artifact attributes
- –Workflow automation relies on configuration patterns that can limit edge cases
- –Metadata schema changes can create migration and governance overhead
- –Deep integrations may require additional middleware for throughput and mapping
- –Automation visibility depends on consistent workflow state configuration
Best for: Fits when IP teams need governed workflows, schema metadata, and API-driven integration for provisional drafting.
iManage
matter DMSiManage manages matter-centric document workflows with permission controls, audit logs, and retention policies that support provisional application drafts.
Policy-driven workflow automation bound to iManage’s matter and permission data model.
iManage centers Provisional Patent Application Software around controlled document capture, matter context, and policy-driven workflow execution. Its data model organizes work across matters, documents, and permissions with schema constraints that support governance and auditability.
Automation options pair configurable workflows with an API surface designed for integration into existing document management, DMS, and case systems. Admin tooling emphasizes RBAC, retention controls, and audit log visibility that support long-lived records and cross-team governance.
- +Matter-linked data model keeps records consistently indexed and permissioned
- +Configurable workflow automation reduces ad hoc document handling
- +RBAC plus granular permissions support controlled user and group access
- +Audit log coverage supports traceability for provisioning and document actions
- +Extensibility via API supports integration into external case and DMS systems
- –Workflow configuration can require careful schema alignment to avoid rework
- –Automation depends on correct integration patterns for throughput at scale
- –Admin governance setup can take multiple coordinated configuration steps
- –API surface integration may require custom mapping between data models
Best for: Fits when legal teams need governed automation tied to matters, documents, and audit logs.
NetDocuments
enterprise DMSNetDocuments provides matter-based document storage with metadata controls, workflow automation, and audit logging for provisional application work products.
NetDocuments API and automation model tied to its metadata schema and permissions.
NetDocuments supports document and matter-centric records management built around a configurable metadata schema and a strong permissions model. Its integration depth shows up through API-based workflows, programmatic search, and event-driven automation patterns that map to legal practice processes.
Admin and governance controls emphasize tenant-level configuration, RBAC for access boundaries, and audit logging for traceability. Automation and provisioning are oriented toward predictable data structures, which helps teams maintain schema consistency across matters.
- +Configurable metadata schema for document and matter records
- +API supports programmatic search, metadata updates, and workflow triggers
- +RBAC and permission boundaries for user and role access
- +Audit log captures user actions for governance and investigations
- –Automation requires careful schema design to avoid inconsistent metadata
- –Admin configuration changes can require coordinated rollout across matters
- –Extensibility depends on available endpoints for specific workflow steps
- –High-throughput operations need documented capacity planning for imports
Best for: Fits when legal teams need controlled schema, API automation, and audit-ready governance across matters.
Confluence
collaboration workspaceConfluence supports structured drafting spaces with permissions, version history, and automation integrations for provisional application content management.
Atlassian Access plus SCIM provisioning with audit log and group-based access control.
Confluence serves as a document-centric workspace with page versioning, macros, and content permissions for managing shared technical knowledge. It integrates deeply with Atlassian ecosystems through Jira, Bitbucket, and Atlassian Access, with REST APIs and webhooks for automation and external systems.
The data model centers on spaces, pages, attachments, and embedded metadata like labels and content properties that can be queried through the API. Admin and governance controls cover organization-wide SSO, SCIM provisioning, RBAC via groups and roles, and audit log visibility for key events.
- +REST APIs and webhooks cover pages, spaces, and content properties
- +Atlassian Access supports SSO, SCIM provisioning, and RBAC governance
- +Jira and other Atlassian integrations reduce manual cross-linking
- +Fine-grained page and space permissions support structured knowledge access
- –Macro-heavy pages can increase rendering and migration complexity
- –Content models rely on pages and spaces, which limits workflow schema rigor
- –Automation often depends on scripting around API constraints and rate limits
- –Granular controls are available but require consistent taxonomy practices
Best for: Fits when teams need permissioned knowledge bases with API-driven automation across Atlassian tooling.
Notion
structured knowledgeNotion enables configurable databases and templates for provisional application outlines, with access controls and change history for governance.
Database relations and properties provide a schema-like structure for invention and claim elements.
Notion fits teams that need a shared specification workspace for a provisional patent application with document and reference links in one place. Its data model organizes content into pages, databases, properties, and relation fields, which supports structured claim or invention summaries rather than only flat text.
Notion’s integration surface includes the Notion API for programmatic page and database operations and webhooks via the Automation product, which covers ingestion, updates, and workflow triggers. Admin and governance controls include workspace-level settings for members, connected apps, and auditability features such as activity logs for visibility into changes.
- +Database schemas capture invention fields, dates, and claim elements consistently
- +Relations link prior art, embodiments, and draft sections with persistent IDs
- +Notion API supports programmatic page and database reads and writes
- +Automation rules enable triggered updates across pages and databases
- +Granular RBAC supports role-based access at workspace and content levels
- –Frequent content edits can complicate change tracking for patent writing workflows
- –Automation coverage depends on supported triggers and actions per connector
- –Long-form formatting and numbering can require careful structure management
- –Admin governance relies on connected app management and review discipline
- –High-volume API usage needs rate and batching design to avoid throttling
Best for: Fits when patent drafting needs database-backed structure with API-driven updates and RBAC control.
How to Choose the Right Provisional Patent Application Software
This buyer’s guide covers Provisional Patent Application Software workflows across UpCounsel, Patent attorney software by Rocket Lawyer, LawDepot, HotDocs, Contract Express, SpringCM, iManage, NetDocuments, Confluence, and Notion.
The guide focuses on integration depth, data model design, automation and API surface, and admin and governance controls across provisional intake, drafting, collaboration, and audit-ready recordkeeping.
Each section ties evaluation criteria to concrete capabilities such as schema-driven metadata, RBAC, audit log coverage, document generation templates, and API or webhook automation.
Software that converts provisional intake fields into governed drafts, packets, and auditable records
Provisional Patent Application Software turns structured invention and inventorship inputs into provisional application drafting artifacts and filing packets while tracking review and revision history across matter work. This software also enforces governance by tying content to roles, workflow states, and audit logs.
For teams that need API-driven orchestration and matter-scoped workflow automation, UpCounsel centers on matter-centric data and a Matter API for schema-based intake provisioning. For teams that prefer questionnaire-first drafting outputs, Rocket Lawyer and LawDepot generate filing-ready documents from guided inputs and structured fields.
Integration depth, data schema control, automation surface, and governance coverage
Evaluating provisional software starts with the data model because every downstream drafting step, workflow state, and audit trail depends on how invention fields map into documents and packages. UpCounsel ties intake fields to filing packages with a schema-driven matter data model, which reduces variance when drafts move from intake to counsel review.
Automation and integration depth matter when drafting happens across multiple systems like case management, document control, and internal engineering knowledge hubs. Tools like HotDocs and SpringCM provide automation through template variables and workflow rules, while NetDocuments and Confluence emphasize API and event-driven triggers tied to metadata and permissions.
Matter-scoped schema data model that maps intake fields to filing packets
A schema-backed data model keeps inventorship details aligned across draft versions and exported packets. UpCounsel connects matter data to filing package generation steps, and SpringCM standardizes application artifact attributes using schema-based metadata.
API and webhook automation for provisioning, workflow triggers, and downstream syncing
Native API access enables external systems to provision records, trigger workflow steps, and update structured metadata during provisional drafting cycles. UpCounsel supports a Matter API and automation triggers for workflow syncing, while NetDocuments exposes an API and automation model tied to its metadata schema and permissions.
Interview-driven drafting templates with conditional logic
Interview flows reduce missing sections by guiding authors through structured questions and mapping answers into generated documents. HotDocs uses template variables and conditional rules to drive repeatable provisional application drafts, and Rocket Lawyer generates complete provisional filing packets from a guided questionnaire.
Clause and template configuration with controlled review lifecycle
Template and clause configuration supports consistent document assembly when teams need repeatable drafting formats. Contract Express combines template-driven document generation with role-based access controls and controlled review steps tied to a traceable document lifecycle.
RBAC plus audit log coverage for document and workflow events
Governance requires both permission controls and audit log visibility across provisioning, document actions, and workflow state changes. UpCounsel includes role-based access and audit log entries across matter versions, and SpringCM provides audit trails for draft and review stage changes with RBAC and administrative controls.
Admin controls for permissions, retention, provisioning, and access boundaries
Admin tooling defines who can change schemas, configure workflows, and access long-lived records tied to matters and drafts. iManage provides RBAC plus retention controls and audit log visibility for controlled provisional handling, while Confluence adds Atlassian Access capabilities like SCIM provisioning and organization-wide audit log coverage.
A selection path from data schema requirements to governance and automation throughput
Start with the workflow topology because provisional drafting can be either questionnaire-driven document generation or governed document management with workflow automation. If drafting must be driven by API-driven intake and matter workflow orchestration, UpCounsel fits teams that need a schema-first matter data model and an automation surface.
Then confirm governance and audit requirements before choosing a tool family because document versioning alone does not guarantee audit log coverage for provisioning and workflow actions. SpringCM, iManage, and NetDocuments emphasize audit logging tied to workflow and metadata changes, while Confluence and Notion emphasize knowledge workspace structure with API-driven automation and RBAC.
Map the required data model to the tool’s schema behavior
Define which invention fields and metadata must persist across edits, exports, and counsel review so schema changes do not break drafting continuity. UpCounsel ties intake fields to filing packages using schema-driven metadata, and Notion provides a database-backed structure with properties and relations for invention and claim elements.
Match drafting generation style to the team’s repeatability needs
If consistent outputs depend on guided interviews and conditional prompting, choose HotDocs or Rocket Lawyer for template variables and questionnaire-driven packet generation. If teams need clause and template assembly with controlled review steps, Contract Express offers template and clause configuration tied to a document lifecycle.
Validate automation and API surface for provisioning and workflow triggers
If external systems must create records, update metadata, and trigger workflow states, prioritize tools with documented API or webhooks. UpCounsel supports API-based provisioning and workflow task automation, and NetDocuments ties API workflows and triggers to a configurable metadata schema.
Confirm governance depth with RBAC and audit logs for drafts and workflow events
If governance requires permissions plus audit log visibility across draft creation, review steps, and workflow transitions, evaluate SpringCM, UpCounsel, and iManage for RBAC and audit trails. Contract Express also ties role-based access controls to controlled review workflow steps for traceable document changes.
Plan admin configuration and throughput for multi-matter operations
If multiple matters run in parallel, ensure the tool handles workflow state configuration and metadata updates without creating manual rework. HotDocs can bottleneck at high-throughput due to document rendering, while SpringCM and NetDocuments require careful schema design to avoid governance overhead and inconsistent metadata across matters.
Who benefits from provisional patent software and workflow control
Different provisional drafting teams need different centers of gravity. Some teams need API-driven intake and governed matter workflows, while others need questionnaire-first document generation with consistent outputs.
Enterprise IP operations often need DMS-like governance with RBAC and audit logs, while product and knowledge teams may prefer database-backed structured drafting workspaces with relational fields.
IP teams and law firms that require API-driven provisional intake and governed matter workflows
UpCounsel fits teams that need a Matter API for schema-based intake provisioning and workflow task automation with role-based access and audit log entries across versions.
Patent counsel teams that need consistent questionnaire-based drafting routed to review
Patent attorney software by Rocket Lawyer and LawDepot serve teams that want guided inputs that generate filing-ready document packets with schema-based application fields and revision history.
Legal teams that prioritize interview-driven repeatable drafting with conditional logic
HotDocs fits teams that need interview templates with variables and conditional rules to reduce rework across variant provisional scenarios while supporting exports and integration via connectors and web services.
Organizations that need governed document collaboration with audit trails and workflow automation
SpringCM and iManage fit teams that require RBAC, administrative controls, audit logging, and schema-based metadata tied to workflow states for controlled review pipelines.
Knowledge-work teams using databases or enterprise document stores for structured invention tracking
Notion fits drafting needs built on database schemas and relations with the Notion API and Automation webhooks, while NetDocuments fits teams that require API-based metadata schema automation with audit-ready governance across matters.
Pitfalls that break provisional workflows during drafting, review, and export
Many selection errors come from mismatching workflow automation and governance requirements to the tool’s actual automation surface and data model flexibility. Template-first systems can generate consistent outputs, but runtime schema changes and governance complexity can require upfront template and permission design.
Drafting workflows also fail when integration is treated as optional even though provisioning, metadata updates, and audit trails require stable API and event surfaces. The failure modes show up as manual iteration loops, inconsistent metadata, or audit gaps across provisioning and document lifecycle steps.
Choosing template-driven drafting without confirming governance and audit logging depth
HotDocs can depend on external logging and review workflows for auditability, so teams needing end-to-end audit events should evaluate SpringCM or UpCounsel for RBAC and audit log coverage tied to workflow and matter changes.
Over-relying on export-centric integrations instead of schema-aware data mapping
Rocket Lawyer and Contract Express emphasize document outputs and export formats, so organizations that need schema mapping for workflow events should prioritize tools like UpCounsel or NetDocuments that connect automation to structured data and metadata models.
Underestimating the governance cost of schema changes across matters
SpringCM notes that metadata schema changes can create migration and governance overhead, and NetDocuments requires careful schema design to avoid inconsistent metadata. Teams should design stable schema rules early instead of relying on frequent runtime adjustments.
Assuming interview templates eliminate edge cases without review iterations
HotDocs and LawDepot reduce rework with interview flows, but some workflows still require manual attorney review and document iteration for drafting accuracy. Contract Express also needs careful multi-step workflow configuration discipline for complex scenarios.
Skipping throughput planning for high-volume document rendering and automation
HotDocs can bottleneck on document rendering steps at high throughput, while NetDocuments imports and automation require documented capacity planning for imports. High-volume operations should validate pipeline behavior and rendering load before committing.
How We Selected and Ranked These Tools
We evaluated UpCounsel, Patent attorney software by Rocket Lawyer, LawDepot, HotDocs, Contract Express, SpringCM, iManage, NetDocuments, Confluence, and Notion on features coverage, ease of use, and value, with features carrying the most weight because provisional drafting outcomes depend on schema, automation, and governance mechanisms. Ease of use and value each influenced the final score to reflect how quickly teams can stand up repeatable drafting and review workflows.
UpCounsel separated itself by combining a matter-centric data model with a Matter API for schema-based intake provisioning and workflow task automation, which lifted its features score and supported higher overall performance. That API-driven provisioning and governable workflow automation directly addresses integration depth and admin governance control, which are the main drivers of reliable provisional drafting at scale.
Frequently Asked Questions About Provisional Patent Application Software
How do Provisional Patent Application tools differ in how they model filing data?
Which tools support API-driven provisioning and automation across drafting workflows?
What options exist for integrating provisional drafting workflows with a document management system?
How do SSO and admin provisioning work across these platforms?
How is RBAC enforced for drafts, reviews, and final filing documents?
What happens when teams need to migrate existing provisional drafts and structured fields?
Which tools are best for template-driven conditional logic versus fully guided questionnaires?
How do audit logs and traceability features differ between collaboration-first and drafting-first systems?
How does extensibility work when teams need custom automation beyond built-in workflows?
What setup steps typically matter most for producing consistent provisional application outputs?
Conclusion
After evaluating 10 legal professional services, UpCounsel stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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