GITNUXSOFTWARE ADVICE
Legal Professional ServicesTop 10 Best Doc Review Software of 2026
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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Comparison Table
This comparison table reviews leading doc review software used for eDiscovery, focusing on how tools support search, review workflows, tagging, analytics, and production exports. It also highlights key differences across platforms such as Everlaw, Relativity, Logikcull, Exterro, discovery+ and others so buyers can map feature coverage and deployment needs to specific case workflows.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Everlaw Provides document review workflows for legal teams with search, analytics, coding, and collaboration to manage large-scale eDiscovery review. | enterprise eDiscovery | 8.6/10 | 9.1/10 | 8.4/10 | 8.2/10 |
| 2 | Relativity Delivers hosted legal review for document sets with configurable workflows, search, coding, and production tooling for eDiscovery and litigation. | litigation platform | 8.2/10 | 8.7/10 | 7.6/10 | 8.0/10 |
| 3 | Logikcull Runs cloud-based doc review with Matter-level organization, fast search, tagging, and production features for small to mid-size legal teams. | cloud doc review | 7.5/10 | 8.1/10 | 7.4/10 | 6.8/10 |
| 4 | Exterro Supports legal review and case management with document processing, issue tagging, and defensible production for eDiscovery and compliance matters. | review analytics | 7.8/10 | 8.3/10 | 7.6/10 | 7.4/10 |
| 5 | discovery+ Provides collaborative cloud-based legal document review with searchable processing and coding workflows for eDiscovery teams. | cloud eDiscovery | 5.5/10 | 4.5/10 | 7.5/10 | 4.8/10 |
| 6 | Everlaw Analytics Adds analytics and interactive controls for legal document review by surfacing patterns, prioritizing review, and supporting defensible decisions. | review analytics | 8.2/10 | 8.7/10 | 7.9/10 | 7.7/10 |
| 7 | Nuix Combines AI-assisted processing with review and investigation workflows for large document collections used in legal discovery. | AI eDiscovery | 8.1/10 | 8.7/10 | 7.4/10 | 8.0/10 |
| 8 | OpenText Axcelerate Legal Review Facilitates collaborative document review with coding, workflow control, and production support for legal discovery programs. | enterprise review | 8.1/10 | 8.4/10 | 7.7/10 | 8.1/10 |
| 9 | iManage Manages matter work and document review collaboration through secure workflows and governance for legal professional services teams. | matter collaboration | 7.8/10 | 8.2/10 | 7.4/10 | 7.5/10 |
| 10 | NetDocuments Provides governed cloud document management with collaboration controls and workflow capabilities used to support legal review processes. | document governance | 7.8/10 | 8.1/10 | 7.3/10 | 7.8/10 |
Provides document review workflows for legal teams with search, analytics, coding, and collaboration to manage large-scale eDiscovery review.
Delivers hosted legal review for document sets with configurable workflows, search, coding, and production tooling for eDiscovery and litigation.
Runs cloud-based doc review with Matter-level organization, fast search, tagging, and production features for small to mid-size legal teams.
Supports legal review and case management with document processing, issue tagging, and defensible production for eDiscovery and compliance matters.
Provides collaborative cloud-based legal document review with searchable processing and coding workflows for eDiscovery teams.
Adds analytics and interactive controls for legal document review by surfacing patterns, prioritizing review, and supporting defensible decisions.
Combines AI-assisted processing with review and investigation workflows for large document collections used in legal discovery.
Facilitates collaborative document review with coding, workflow control, and production support for legal discovery programs.
Manages matter work and document review collaboration through secure workflows and governance for legal professional services teams.
Provides governed cloud document management with collaboration controls and workflow capabilities used to support legal review processes.
Everlaw
enterprise eDiscoveryProvides document review workflows for legal teams with search, analytics, coding, and collaboration to manage large-scale eDiscovery review.
Analytics and progress dashboards that surface review performance and risk signals
Everlaw stands out with advanced analytics and workflow automation built specifically for large-scale legal review. Core capabilities include document management, coding and issue workflows, evidence organization, and collaborative review with fine-grained permissions. Strong search, filters, and predictive insights support defensible review decisions, while visualizations help teams monitor progress across matters.
Pros
- Powerful analytics and charts for defensible review and activity monitoring
- Workflow automation that reduces repetitive coding and assignment work
- Fast searching with strong filters for high-volume document sets
- Collaborative review with robust permissions and audit trails
Cons
- Setup and workflow configuration take time for complex matters
- Power-user features can feel dense without structured training
- Large projects can require careful index and settings management
- Some customizations add complexity to the review process
Best For
High-volume legal review teams needing analytics and workflow automation
Relativity
litigation platformDelivers hosted legal review for document sets with configurable workflows, search, coding, and production tooling for eDiscovery and litigation.
Relativity Assisted Review for prioritizing documents during coding and review
Relativity stands out by combining document review with eDiscovery analytics, so teams can connect review decisions to search, categorization, and reporting in one system. It supports task-based review workflows with configurable fields, production management, and redaction tools for defensible outputs. Relativity also includes administrative controls for user permissions, dataset governance, and audit trails that support litigation and compliance needs. Reviewers can work through near-duplicate detection, tagging, and coding workflows tied to core eDiscovery functions.
Pros
- Highly configurable review workflows with coding, tagging, and field validation
- Tight integration with eDiscovery search, analytics, and document operations
- Production and redaction tooling supports defensible review outputs
- Robust governance with permissions and audit trails for review accountability
Cons
- Setup and admin configuration can require significant eDiscovery expertise
- Reviewer experience depends heavily on configuration quality and workflow design
- Large matter configuration can slow navigation without strong information architecture
Best For
Litigation and compliance teams needing integrated review, analytics, and production workflows
Logikcull
cloud doc reviewRuns cloud-based doc review with Matter-level organization, fast search, tagging, and production features for small to mid-size legal teams.
Machine learning–driven predictive ranking that continuously prioritizes likely responsive documents
Logikcull centers doc review around fast, automated culling with continuous relevance sorting and an interactive evidence workspace. It supports EDRM-style workflows with search filters, issue coding, and audit-friendly export trails. Teams can run analytics to surface duplicates, near-duplicates, and likely responsive documents while keeping review state synchronized across users. Reviewers also benefit from streamlined redaction and production controls for downstream deliverables.
Pros
- Automated relevance ranking reduces time spent on low-signal documents
- Near-duplicate and duplicate detection speeds review at scale
- Issue tagging and batch decisions support consistent workflow execution
Cons
- Advanced configuration can require specialist review setup knowledge
- Collaboration controls feel less granular than leading enterprise platforms
- Analytics depth can be uneven across complex, mixed-language matters
Best For
Litigation and investigations teams needing fast, workflow-driven doc review automation
Exterro
review analyticsSupports legal review and case management with document processing, issue tagging, and defensible production for eDiscovery and compliance matters.
Integrated defensibility and audit trails for reviewer actions during governed review
Exterro stands out for combining doc review workflow tooling with enterprise eDiscovery governance features built for legal teams. It supports review activities such as tagging, coding, and issue tracking across large document sets while coordinating matters and reviewers. Strong workflow controls help standardize decisions and audit reviewer actions during production and defensibility workflows.
Pros
- Review workflow controls help standardize coding and decisioning
- Audit trails support defensibility for reviewer actions
- Matter organization supports managing complex multi-issue reviews
Cons
- Interface can feel heavy for smaller review teams
- Advanced configuration requires process discipline to stay consistent
- Training time rises with governance and review workflow depth
Best For
Enterprises managing complex, policy-driven doc review across large matters
discovery+
cloud eDiscoveryProvides collaborative cloud-based legal document review with searchable processing and coding workflows for eDiscovery teams.
Discovery-style title browsing and fast video playback for training and reference material
Discovery+ distinguishes itself as a streaming video library rather than a dedicated document review platform. It supports media playback, saves, and search-like discovery of titles, which can help teams review training recordings and recorded guidance. For actual doc review workflows, it lacks core capabilities like version control, annotation, approval chains, and audit logs. As a result, it functions best as a reference playback tool, not a system of record for document review.
Pros
- Fast, reliable playback experience for review videos and training content
- Strong content discovery via browsing and title search
- Works across common devices like mobile and smart TVs
Cons
- No document annotation, markup, or comment threads
- No version history or approval workflow for formal review processes
- Limited auditability for compliance-grade document reviews
Best For
Teams sharing recorded guidance where formal doc review features are unnecessary
Everlaw Analytics
review analyticsAdds analytics and interactive controls for legal document review by surfacing patterns, prioritizing review, and supporting defensible decisions.
Everlaw Analytics tools that surface review patterns and support analytics-assisted prioritization
Everlaw Analytics centers on large-scale eDiscovery workflows built specifically for document review, with structured analytics tied to review decisions. The platform supports searchable document sets, coding, issue tracking, and review controls designed for consistent, auditable production. Built-in analytics reveal review patterns and help prioritize documents for deeper scrutiny. Collaboration features support teams that need shared workspaces and governed review progress across matters.
Pros
- Powerful analytics to guide prioritization and quality checks during review
- Strong collaboration controls for consistent coding across large review teams
- Robust search and review tooling for high-volume document sets
- Audit-friendly workflow supports defensible review decisions
- Flexible coding and issue management for complex matters
Cons
- Review workflows can feel heavy without dedicated configuration
- Learning curve is noticeable for analytics and workflow settings
- Workspace complexity can slow navigation for smaller document sets
Best For
Litigation teams needing analytics-driven doc review with governed collaboration
Nuix
AI eDiscoveryCombines AI-assisted processing with review and investigation workflows for large document collections used in legal discovery.
Automated data enrichment with entity extraction and analytical tagging during processing and review
Nuix stands out with scalable evidence processing and strong analytics for large, complex investigations and eDiscovery reviews. Core capabilities include automated data ingestion, normalization, enrichment, and faceted search for review workflows. Built-in entity extraction and relationship-style insights help reviewers prioritize documents and reduce manual sorting in high-volume matters.
Pros
- Strong scale for ingest, indexing, and review across large evidence sets
- Faceted search and filtering support fast triage in document-heavy matters
- Automation and enrichment reduce manual pre-review cleanup work
- Entity extraction and analytics accelerate issue spotting during review
Cons
- Review workflows often require configuration and analyst time to optimize
- User experience can feel complex for teams used to simpler review tools
Best For
Large eDiscovery and investigation teams needing automated enrichment and analytics
OpenText Axcelerate Legal Review
enterprise reviewFacilitates collaborative document review with coding, workflow control, and production support for legal discovery programs.
AI-assisted review support with workflow-driven issue coding and reviewer tracking
OpenText Axcelerate Legal Review stands out with AI-assisted document review support and strong e-discovery style workflows for legal teams. It provides redaction, issue coding, and controllable reviewer work products for managed review cycles. The platform supports collaborative review at scale with audit-friendly tracking and defensible review outputs. Integration with OpenText legal ecosystems can streamline data handoff into broader case management and analytics workflows.
Pros
- AI-assisted review support that reduces manual effort on large document sets
- Redaction and issue coding features designed for defensible legal review workflows
- Audit trails and reviewer tracking support consistent, review-ready outputs
- Works well in managed review cycles with structured work product generation
- Integrates with OpenText legal platforms for smoother case workflow handoff
Cons
- Setup and configuration for advanced workflows can feel heavy for smaller matters
- Reviewer UX depends on admin configuration and can vary across projects
- Advanced automation features require trained review operations to realize benefits
Best For
Legal review teams needing defensible e-discovery workflows with AI assistance
iManage
matter collaborationManages matter work and document review collaboration through secure workflows and governance for legal professional services teams.
Granular access control and audit trails across matter-based document workflows
iManage stands out with enterprise-grade document governance tightly integrated with legal work platforms. It supports structured workflows, matter-centric controls, and role-based access for doc review processes that need auditability and consistency. The platform emphasizes content management foundations like indexing, retention, and permissions that reduce review chaos across teams. Strong reporting and traceability help teams validate what was reviewed, by whom, and when.
Pros
- Matter-based controls keep review access aligned to case governance policies
- Robust audit trails support defensible review histories and change tracking
- Strong content management improves search precision for large document collections
- Workflow options support repeatable review steps with consistent routing
Cons
- Setup and administration effort can be heavy for smaller review teams
- Review-specific experiences can feel less streamlined than dedicated eDiscovery tools
- Complex permission models may slow onboarding and increase training time
Best For
Enterprises running governed matter workflows needing strong audit and permissions
NetDocuments
document governanceProvides governed cloud document management with collaboration controls and workflow capabilities used to support legal review processes.
Retention and disposition controls with immutable audit history
NetDocuments stands out with enterprise-grade document governance built around a centralized repository and strong retention controls. It supports document review workflows with versioning, permissions, audit trails, and matter-focused organization that fits legal and compliance teams. Advanced search and metadata-driven retrieval help reviewers locate the right documents quickly during structured review cycles.
Pros
- Robust permissioning with audit trails for regulated review workflows
- Metadata and versioning keep review sets organized over time
- Enterprise search accelerates locating documents during active review
Cons
- Review setup can feel complex without strong administrative guidance
- Workflow flexibility depends on configuration and administrator support
- User navigation can be slower when permissions and metadata are heavy
Best For
Legal teams needing compliant document governance and audit-ready reviews
Conclusion
After evaluating 10 legal professional services, Everlaw 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.
How to Choose the Right Doc Review Software
This buyer’s guide explains how to select doc review software for litigation and compliance workflows using tools like Everlaw, Relativity, Logikcull, Exterro, and Nuix. It also covers governed collaboration and audit needs with iManage and NetDocuments, plus AI-assisted review workflows in OpenText Axcelerate Legal Review. The guide maps specific capabilities like analytics dashboards, predictive ranking, audit trails, and evidence enrichment to the teams that benefit most.
What Is Doc Review Software?
Doc Review Software supports collaborative legal review of large document sets through structured coding, issue tagging, and governed collaboration workflows. It helps resolve search and triage problems by combining fast filtering with reviewer work products, like defensible coding outputs and redaction controls. Teams use it to standardize decisions, track reviewer actions, and produce audit-ready records during litigation and investigations. Platforms like Everlaw and Relativity provide the core system-of-record for managed review, including coding workflows, permissions, and production support.
Key Features to Look For
The right feature set determines whether review decisions stay consistent, auditable, and efficient across high-volume teams and complex matters.
Analytics and progress dashboards for defensible review decisions
Everlaw provides analytics and progress dashboards that surface review performance and risk signals so teams can monitor review momentum across matters. Everlaw Analytics adds analytics-driven prioritization and pattern visibility to support quality checks and governed collaboration.
Predictive prioritization and assisted review workflows
Logikcull uses machine learning–driven predictive ranking that continuously prioritizes likely responsive documents to reduce time spent on low-signal items. Relativity Assisted Review supports prioritizing documents during coding and review so teams can focus reviewer attention where it matters most.
Task-based coding, issue tagging, and workflow automation
Relativity delivers configurable review workflows with coding, tagging, and field validation so review steps follow defined rules. Everlaw emphasizes workflow automation that reduces repetitive coding and assignment work during large-scale review.
Search, filtering, and near-duplicate detection for fast triage
Logikcull combines fast search with near-duplicate and duplicate detection to speed up review at scale. Nuix adds faceted search and filtering plus scalable processing so reviewers can triage large collections with enriched metadata and fast navigation.
Integrated production and redaction for defensible outputs
Relativity includes production management and redaction tooling so coded decisions flow into defensible review outputs. OpenText Axcelerate Legal Review supports redaction and issue coding with controllable reviewer work products for managed review cycles.
Governance: granular permissions and audit trails across review actions
Everlaw supports collaborative review with robust permissions and audit trails so actions remain traceable for defensibility. iManage focuses on granular access control and audit trails across matter-based document workflows, while Exterro adds integrated defensibility and audit trails for reviewer actions during governed review.
How to Choose the Right Doc Review Software
Selection should start with the workflow type, evidence scale, and defensibility requirements that drive day-to-day reviewer work.
Match review scale to analytics and search performance needs
High-volume legal review teams that need measurable review performance should prioritize analytics and monitoring capabilities from Everlaw and Everlaw Analytics. Large eDiscovery and investigation teams that need automated enrichment and faceted triage should evaluate Nuix because it focuses on ingestion, normalization, enrichment, and faceted search for review workflows.
Choose predictive assistance based on how decisions are made during coding
Teams seeking continuous relevance sorting should consider Logikcull for machine learning–driven predictive ranking that continuously prioritizes likely responsive documents. Teams needing workflow-integrated prioritization tied to coding and review controls should look at Relativity and its Relativity Assisted Review.
Ensure defensibility through audit trails and governance controls
Organizations that require evidence of who did what and when should prioritize audit trails and governed collaboration features in Everlaw and Exterro. Enterprises that must align review access to matter governance should evaluate iManage for granular access control and audit trails across matter-based document workflows.
Validate that review outputs can flow into production and redaction
Litigation and compliance teams that need defensible outputs should confirm production management and redaction tooling in Relativity and OpenText Axcelerate Legal Review. Review programs that rely on structured work product generation should also account for OpenText Axcelerate Legal Review’s managed review cycles with workflow-driven issue coding and reviewer tracking.
Plan for configuration effort before standardizing the review process
Complex matters often require setup and workflow configuration time in Everlaw, Exterro, and Relativity, so internal review operations should budget for workflow design. Platforms like Nuix and OpenText Axcelerate Legal Review also depend on configuration and trained operations to fully realize automation and AI-assisted benefits, while Logikcull’s advanced setup can require specialist review setup knowledge.
Who Needs Doc Review Software?
Doc review software fits legal organizations that must manage governed collaboration, defensible outputs, and fast triage across document-heavy datasets.
High-volume legal review teams needing analytics and workflow automation
Everlaw and Everlaw Analytics fit teams that need analytics and progress dashboards to surface review performance and risk signals. These tools also combine workflow automation with governed collaboration and audit trails for large-scale review operations.
Litigation and compliance teams needing integrated review, analytics, and production tooling
Relativity suits teams that want review workflows connected to eDiscovery search, analytics, and document operations. Relativity Assisted Review supports prioritization during coding, and built-in production and redaction tooling supports defensible outputs.
Litigation and investigations teams needing fast, workflow-driven doc review automation
Logikcull targets teams that benefit from machine learning–driven predictive ranking and near-duplicate and duplicate detection to accelerate reviewer throughput. Its continuous relevance sorting supports faster culling when mixed evidence volumes slow traditional review.
Enterprises managing complex policy-driven review across large matters with auditability
Exterro supports governed review with integrated defensibility and audit trails for reviewer actions during large, policy-driven matters. iManage and NetDocuments fit teams that must enforce matter-based access control and maintain audit-ready histories, with iManage emphasizing granular permissions and NetDocuments emphasizing retention and immutable audit history.
Common Mistakes to Avoid
Common failures come from mismatching workflow governance to reviewer adoption, underestimating configuration effort, or expecting non-doc-review tools to act as the system of record.
Choosing a training playback tool instead of a document review system of record
Discovery+ works as a reference playback and title browsing tool for training and recorded guidance, not as a formal doc review platform. Discovery+ lacks core doc review capabilities like annotation, markup, comment threads, and audit logs that governed review needs.
Underestimating configuration and workflow design effort for complex matters
Everlaw, Relativity, and Exterro can require significant setup and workflow configuration time for complex cases, which can slow launch if review operations are not staffed. Nuix and OpenText Axcelerate Legal Review similarly rely on configuration and trained review operations to realize automation and AI-assisted benefits.
Assuming every team workflow will work without governance-level audit requirements
Tools that do not emphasize auditability can break defensibility needs when reviewer actions must be traceable. Everlaw, Exterro, iManage, and NetDocuments explicitly center audit trails and governance so reviewer histories remain validated during production.
Focusing only on search speed and ignoring analytics-driven quality checks
Fast searching alone does not ensure consistent coding and defensible review outcomes, especially across large teams. Everlaw Analytics and Everlaw’s analytics and progress dashboards provide review pattern visibility and risk signals that support quality checks beyond basic filtering.
How We Selected and Ranked These Tools
we evaluated each tool on three sub-dimensions with features weighted at 0.40, ease of use weighted at 0.30, and value weighted at 0.30. The overall rating is calculated as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Everlaw separated from lower-ranked tools through strong features on analytics and workflow automation, including analytics and progress dashboards that surface review performance and risk signals alongside workflow automation that reduces repetitive coding and assignment work.
Frequently Asked Questions About Doc Review Software
Which doc review tool best supports large-scale analytics and defensible decision-making?
Everlaw and Everlaw Analytics both tie review actions to structured analytics and provide dashboards that surface progress and risk signals. Everlaw is built for review workflow automation at scale, while Everlaw Analytics adds analytics-first support that helps prioritize documents for deeper scrutiny. Relativity also supports analytics connected to eDiscovery reporting, but Everlaw is the more direct fit for review-performance monitoring inside the review workflow.
How do Everlaw, Relativity, and Logikcull differ for workflow automation during coding and issue tracking?
Everlaw focuses on workflow automation with fine-grained permissions, coding and issue workflows, and evidence organization. Relativity emphasizes task-based review workflows tied to configurable review fields and production management for defensible outputs. Logikcull centers on automated culling with continuous relevance sorting, keeping review state synchronized while reviewers code issues and track outcomes.
Which tools are strongest for handling near-duplicate and predictive ranking at review time?
Relativity supports Assisted Review to prioritize documents during coding and review, which reduces manual sorting effort. Logikcull uses machine learning–driven predictive ranking that continuously reorders likely responsive documents as reviewers work. Everlaw adds predictive insights and near-duplicate style prioritization via search, filters, and analytics, but Logikcull most directly targets culling and relevance sorting as the core workflow.
What options support audit trails and defensibility workflows for reviewer actions?
Exterro is designed for governed review with integrated defensibility and audit trails that standardize decisions and track reviewer actions during production workflows. NetDocuments provides immutable audit history plus retention and disposition controls tied to document governance. Everlaw and Relativity both support controlled collaboration with auditability features, but Exterro’s workflow governance is the most explicitly centered on defensibility controls.
Which doc review platforms integrate best with broader eDiscovery processing and production management workflows?
Relativity combines document review with eDiscovery analytics and production management so review decisions map to search, categorization, and reporting. Nuix supports large investigations with evidence processing, normalization, enrichment, and faceted search that feeds review workflows. OpenText Axcelerate Legal Review adds AI-assisted review support with redaction and issue coding that fits managed review cycles tied to legal eDiscovery-style workflows.
When should an organization use a governed matter workflow platform like iManage or NetDocuments instead of a review-first system?
iManage fits organizations that need enterprise-grade governance with matter-centric controls, role-based access, and reporting that validates what was reviewed and by whom. NetDocuments provides centralized repository management with versioning, permissions, audit trails, and retention and disposition controls. Everlaw, Relativity, and Exterro focus more directly on the document review workflow itself, while iManage and NetDocuments emphasize governance foundations that reduce review chaos across teams.
What tool is best for investigators who need entity extraction and relationship-style insights during evidence review?
Nuix is built for automated enrichment with entity extraction and analytical tagging during processing and review. This helps reviewers prioritize documents by surfacing connections and reducing manual sorting in high-volume investigations. Logikcull can prioritize likely responsive documents through predictive ranking, but it is not positioned as the entity-and-relationships enrichment system that Nuix provides.
Which solution should be avoided for formal doc review workflows because it is not a system of record?
Discovery+ is a streaming video library designed for playback and title discovery, so it lacks core doc review functions like version control, annotation workflows, approval chains, and audit logs. For formal document review with coding, tagging, redaction, and defensibility outputs, Everlaw, Relativity, or Exterro provide review-state management and audit-friendly workflows. Discovery+ works best as a reference tool for recorded guidance, not as the review system of record.
How can teams handle redaction, issue coding, and reviewer work products during review cycles?
Relativity includes redaction tools and production-oriented outputs connected to configured review workflows. OpenText Axcelerate Legal Review supports redaction, issue coding, and controllable reviewer work products across managed review cycles. Exterro provides workflow controls for tagging and coding with audit reviewer actions, which helps maintain consistent work products in governed reviews.
Tools reviewed
Referenced in the comparison table and product reviews above.
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