
GITNUXSOFTWARE ADVICE
Legal Professional ServicesTop 10 Best Process Server Case Management Software of 2026
Top 10 ranking of Process Server Case Management Software for case tracking and reporting, with tradeoffs for ProcessServerPro and ServeManager.
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.
ProcessServerPro
API-accessible service attempt events with status-based automation triggers
Built for fits when mid-size teams need governed automation tied to service attempts..
ServeManager
Editor pickService attempt tracking schema that records attempt sequence, outcome, and proof artifacts per case.
Built for fits when case teams need workflow automation and controlled integration without spreadsheet reconciliation..
Process Server Manager
Editor pickService attempt timeline tied to case status history and server assignment records.
Built for fits when agencies need structured attempt tracking and role-based case governance..
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Comparison Table
The comparison table evaluates process server case management tools across integration depth, data model schema, and the automation plus API surface used for provisioning and workflow orchestration. It also maps admin and governance controls such as RBAC, audit log coverage, and configuration boundaries that affect throughput and extensibility when adding clients, jurisdictions, or case types.
ProcessServerPro
specialist workflowProcess server case management with client and job tracking workflows, document handling, and built-in operational reporting for service of process assignments.
API-accessible service attempt events with status-based automation triggers
ProcessServerPro organizes records around cases and service events, mapping each attempt to a structured service outcome, location details, and timestamps. The automation surface centers on configurable triggers for reminders and task routing based on case status and event outcomes. Integration depth is driven by documented API endpoints that support record sync and event-driven workflows for external docketing and reporting systems.
A key tradeoff is that automation relies on the platform’s configured schema for cases and service events rather than arbitrary custom objects, which can limit highly specialized workflows. ProcessServerPro fits when organizations need consistent service attempt tracking and governed automation across multiple users, with extensibility through API-based integrations for external systems.
- +Case event data model ties attempts to outcomes and timestamps
- +Automation rules drive status changes and task assignments consistently
- +API supports record syncing and event workflows for integrations
- +RBAC and audit log provide governance over access and changes
- –Automation depends on predefined case and service event schema
- –Highly bespoke entities may require API workarounds
- –Complex trigger chains need careful configuration to avoid noise
Litigation ops managers
Standardize service workflows across teams
Reduced manual follow-ups
Process serving supervisors
Audit service attempt history
Faster dispute resolution
Show 2 more scenarios
Agency system integrators
Sync cases with external docketing
Lower duplicate data
API endpoints support provisioning workflows and event-driven sync for case and service records.
Compliance and governance leads
Control access and change trails
Stronger internal controls
RBAC limits editing actions and the audit log records operational events tied to governance needs.
Best for: Fits when mid-size teams need governed automation tied to service attempts.
More related reading
ServeManager
case trackingProcess server case management that manages assignments, scheduling, status updates, and completion documentation across active service requests.
Service attempt tracking schema that records attempt sequence, outcome, and proof artifacts per case.
ServeManager is a process server case management system with a case-first schema that maps service events to attempts, results, and proofs. The data model supports scheduling and assignment so work moves from intake to field completion without manual reconciliation. Automation rules handle common state transitions such as assigned, attempted, and completed. Admin controls cover user roles and permission boundaries so dispatch and auditing stay separated.
A tradeoff is that deeper customization depends on understanding the case schema because workflow configuration follows that schema. ServeManager fits teams that need controlled throughput across multiple servers and office staff with consistent audit trails. It also fits integration scenarios where external dispatch, document capture, or reporting tools must synchronize status and service outcomes.
- +Case-first schema ties attempts, outcomes, and proofs to one record
- +Automation rules move service states through the workflow
- +RBAC-style controls separate dispatch work from admin governance
- +API and integration surface support status sync to external systems
- –Workflow customization requires mapping changes to the case data model
- –Complex approval paths can add configuration overhead for new practices
Dispatch managers and coordinators
Assign attempts by location and schedule
Faster completion and fewer rework loops
Operations admins
Govern access and audit service changes
Clear accountability for case outcomes
Show 2 more scenarios
Systems integrators
Sync case status via API
Lower manual data entry volume
Automation and API surface enable provisioning and status updates to external tools.
Field servers
Record attempt results and proofs in workflow
More reliable proofs and outcomes
Service event capture keeps attempts consistent and tied to the originating case.
Best for: Fits when case teams need workflow automation and controlled integration without spreadsheet reconciliation.
Process Server Manager
operations ledgerProcess server case management that organizes jobs by client, location, and status with operational controls for service tracking and task history.
Service attempt timeline tied to case status history and server assignment records.
Process Server Manager organizes service work around case entities that can capture service addresses, server assignments, and attempt outcomes in a consistent schema. The automation surface fits recurring steps like scheduling, attempt logging, and status transitions, which reduces re-keying across repeated jobs. Admin and governance controls emphasize role-based access and controlled task visibility so offices can separate intake, field operations, and review roles. The data model keeps a timeline-friendly record of service attempts so reporting and exception handling map directly to case status.
A tradeoff appears in deeper integrations and API-driven provisioning, where the automation depth depends on available integration mechanisms rather than a documented event stream for custom external systems. Teams see the best results when internal operations need structured attempt tracking and role-separated workflows more than bespoke integrations. Usage fits agencies managing multiple servers who need consistent attempt capture, client updates, and case status checkpoints across a shared office workflow.
- +Case-centric schema keeps server attempts and outcomes queryable
- +Role-based access supports separation between intake and field work
- +Automation reduces re-entry across scheduling and attempt logging
- +Status transitions tie directly to service lifecycle records
- –API extensibility may lag teams needing custom event-driven integration
- –Complex workflow tailoring can require careful configuration discipline
Small process serving office
Track attempts across multiple servers
Fewer status mismatches
Operations manager
Control intake to server dispatch
Tighter dispatch control
Show 2 more scenarios
Legal ops coordinator
Standardize client updates
More consistent notifications
Case fields and status checkpoints drive repeatable client communication milestones.
Regional dispatch team
Handle exceptions and reattempts
Faster reservice workflows
Workflow automation supports reattempt cycles tied to documented attempt history.
Best for: Fits when agencies need structured attempt tracking and role-based case governance.
Zendesk
workflow platformCustomer support ticketing extended with workflows, role-based access, automation rules, and API-based integrations for tracking service-of-process cases as work items.
Triggers, automations, and webhooks tied to ticket events for external sync and automated routing.
Zendesk is case management software built around support workflows, ticket objects, and agent workspaces rather than dedicated process-server records. It is distinct for its API-first integration surface, with REST endpoints for tickets, users, organizations, triggers, and webhooks.
Core capabilities include configurable automations, rule-based routing, and granular assignment controls that map well to intake, service status updates, and evidence collection inside ticket fields. Governance is handled through role-based access controls and activity auditing, which supports multi-team operations that need controlled changes and traceability.
- +REST API covers tickets, users, organizations, and views for system integration
- +Trigger and automation rules reduce manual case status updates
- +Webhooks provide event-based sync for external case systems
- +Role-based permissions separate agent, admin, and restricted access
- +Audit trails support review of changes and agent actions
- –Process-server data model must be approximated using ticket fields and custom objects
- –Workflow logic can become complex when modeling multi-party case states
- –Reporting over deeply structured service events may require careful schema design
- –High-volume event automation needs governance to avoid rule conflicts
- –Cross-case transactional operations require orchestration outside Zendesk
Best for: Fits when case workflows can be modeled as tickets with automated status changes and audited edits.
Freshdesk
workflow platformAgent work management using automation, role-based permissions, and an API for modeling process server case intake and status updates as tickets.
Automation rules plus triggers that act on ticket status and custom fields.
Freshdesk handles case intake, ticket workflows, and assignment for process-serving operations, using ticket objects as the core data model. Automation rules, SLA policies, and triggers route work based on status, priority, and custom fields that can represent service stages.
Freshdesk adds extensibility through a REST API for ticket and contact records, plus webhooks for event-driven integrations. Admin and governance rely on role-based access control, audit logging for key actions, and configurable queues for operational control.
- +Ticket-centric data model maps service stages to statuses and custom fields
- +Automation rules route cases by custom fields, priority, and workflow events
- +REST API supports provisioning and updates for tickets, contacts, and agents
- +Webhooks enable event-driven sync into case management or CRM systems
- +RBAC controls access to queues, views, and admin capabilities
- –Process-server entities like serve attempts need custom schemas and disciplined field use
- –Workflow granularity depends on ticket fields, which can create complex rule chains
- –Automation and API surface are weaker for geospatial tracking than dedicated field apps
- –Reporting relies on ticket metrics, so multi-actor service timelines require careful modeling
Best for: Fits when teams need ticket-based workflow automation with API-driven integrations for case status tracking.
Airtable
data model firstRelational database for job, client, and attempt records with programmable automations, schema configuration, and API access for custom case workflows.
Linked record data model plus automation triggers that run from case and service attempt changes.
Airtable fits process server case management work where case records need relational context and fast human entry across teams. Its data model uses tables, linked records, and customizable views that can mirror case, service attempts, documents, and schedules.
Automation and the API surface support record-triggered workflows, webhooks, and scripted actions that connect internal operations to external systems. Administration and governance rely on workspace controls, RBAC, and activity auditability to manage access to shared schemas and case data.
- +Relational data model links cases, parties, and service attempts with schema control
- +Extensive scripting and automation triggers for record changes and workflow steps
- +REST and API support custom integrations and higher-throughput data synchronization
- +RBAC and workspace governance control access to bases and interfaces
- –Custom schemas can grow complex without disciplined data modeling conventions
- –Automation throughput can require careful batching to avoid workflow bottlenecks
- –Document handling needs external storage patterns for heavier attachments
- –Multi-step operational workflows can become harder to audit without standardized logging
Best for: Fits when legal ops teams need relational case data plus API-driven automation without custom database builds.
Monday.com
automation work mgmtWork management built on configurable boards and fields with automation rules and an API used to implement service-of-process case states and assignment routing.
Automation Center rules that trigger on field changes and update linked records across boards.
Monday.com is a case-management workspace for process servers that prioritizes configurable workflows over fixed templates. Matter data lives in boards with a structured schema, custom fields, and cross-linking across parties, locations, and filings.
Integration depth comes from webhooks, REST API access, and automation rules that move work across statuses and assignees. Governance relies on role-based permissions, workspace controls, and audit visibility for administrative actions.
- +Board-based data model supports custom schemas for matters, service attempts, and court events
- +REST API and webhooks cover record CRUD, which enables external docket and CRM synchronization
- +Automation rules update statuses, owners, and due dates without custom code
- +Cross-board linking helps maintain relationships between defendants, locations, and filings
- +RBAC permissions restrict access to boards, fields, and views for named user groups
- +Workflow history provides traceability for changes to key fields and statuses
- –Case-specific dashboards require manual configuration across many boards and fields
- –Complex multi-step automations can be hard to debug across triggers and linked records
- –Fine-grained field-level permissions are limited compared with dedicated legal systems
- –Data consistency depends on disciplined schema design when multiple teams add fields
- –High-volume status updates can increase automation throughput complexity
Best for: Fits when teams need no-code automation plus an API-connected workflow around configurable case records.
Smartsheet
case trackingSpreadsheet-grade case tracking with structured schemas, automated notifications, and an API used for throughput metrics and case status governance.
Smartsheet Control Center and automated workflows tied to sheet fields and form submissions.
Process server case management on Smartsheet centers on configurable sheets, form-driven intake, and workflow automation that coordinates notices, attempts, and status updates. Smartsheet’s data model supports structured records with cells, attachments, and automated fields that keep case artifacts consistent across teams.
System integration is driven by an API, webhook-style event patterns, and connectors that can sync parties, court dates, and service events into other case systems. Admin governance includes user roles, permissioning controls, and audit visibility to track changes to case data and automation behavior.
- +API plus automation hooks for syncing service status into external systems
- +Configurable sheet data model for representing cases, attempts, and documents
- +Workflow automation tied to form submission and status transitions
- +RBAC-style permissions that limit access by workspace and sheets
- +Audit trail for changes to cells and automation executions
- –Many advanced governance patterns require careful workspace and sheet design
- –High-volume case throughput can stress automation complexity and execution order
- –Cross-system referential integrity depends on API-driven validation
- –Custom schema changes can cascade across automations and dependent sheets
Best for: Fits when teams need case records, automation, and integration control without custom app code.
Trello
lightweight workflowKanban-style case workflow modeling with rule-based automation, granular member permissions, and an API for integrating client and attempt updates.
Butler automation rules trigger on card events and update task fields across lists on a board.
Trello runs case workflows as boards, lists, and cards that represent process server tasks and evidentiary artifacts. Integration depth comes mainly through REST APIs and webhooks, plus add-ons like Power-Ups that extend the data model beyond native fields.
Automation is handled with rules like Butler for card moves, due dates, and recurring tasks, with execution tied to board activity. Governance relies on workspace and board settings, plus admin controls over members, permissions, and connected integrations.
- +Board and card schema maps to case steps, documents, and status tracking
- +REST API and webhooks support external case systems and sync workflows
- +Butler rules automate card lifecycle events like move, assign, and due date
- +Power-Ups add field types and integrations without altering core structure
- –Native reporting is limited for case metrics like SLA adherence
- –Many data operations require client-side modeling since no rigid case schema exists
- –Permission boundaries are board-scoped, which complicates cross-case governance
- –Automation coverage depends on what Butler exposes versus custom API logic
Best for: Fits when teams need visual case tracking and API-driven task synchronization without custom case schemas.
Notion
database workspaceConfigurable database templates for clients, cases, attempts, and documents with automations via integrations and API access for custom operational views.
Notion API for CRUD access, database queries, and integration-based synchronization
Notion fits process-server teams that already rely on documents and collaborative case notes, because its database-centric data model turns spreadsheets and forms into structured records. Case workflows are built with relational databases, custom views, and templates for tasks like hearing tracking, deadline reminders, and evidence logs.
Automation is mostly configuration-based through Notion automations, with an extensibility path via the Notion API, OAuth connections, and integration capabilities for syncing and provisioning. Governance relies on workspace-level RBAC-like permissions, role assignment controls, and audit logging that can support compliance and change tracking for case data.
- +Relational data model links defendants, filings, addresses, and hearings
- +Reusable templates support consistent intake and service steps
- +Notion API enables custom integrations and data synchronization
- +View filters and timelines help manage deadlines across cases
- +RBAC-style permissions restrict access at database and page levels
- +Audit logs support traceability for content and admin changes
- –Process-server-specific workflows require custom schema design
- –Automation coverage is limited versus event-driven systems and queues
- –High-throughput logging can be harder than purpose-built case systems
- –Field validation and workflow state constraints need manual enforcement
- –Reporting depends on query-friendly schema and disciplined data entry
Best for: Fits when teams want case records, evidence, and deadlines in one configurable workspace.
How to Choose the Right Process Server Case Management Software
This buyer's guide covers ProcessServerPro, ServeManager, Process Server Manager, Zendesk, Freshdesk, Airtable, monday.com, Smartsheet, Trello, and Notion for process server case management workflows.
The focus is integration depth, the underlying data model, automation and API surface, and admin and governance controls across dedicated case tools and adjacent work platforms.
Process server case management systems that model attempts, proofs, and filings
Process server case management software tracks case records and service attempt timelines. It connects parties, locations, attempts, outcomes, and proof artifacts so teams can update service status without losing historical context.
Tools like ProcessServerPro and ServeManager implement a case-first schema where service attempt events and proof artifacts stay tied to one record. Zendesk and Freshdesk can also manage service-of-process work, but they approximate process server entities using ticket fields and automation rules.
Integration, data model fidelity, automation surface, and governance controls
Selection hinges on whether a tool supports the actual service workflow as data, not just as a list of tasks. A case-first schema makes service attempt sequencing and proof linkage queryable, while ticket or board tools require disciplined field modeling.
Integration depth matters when downstream systems ingest status changes or proof events. API and automation surfaces also determine how much work can be standardized through triggers, webhooks, and event-driven sync instead of manual updates.
Case-first data model for attempt sequencing and proof linkage
ProcessServerPro ties parties, service attempts, and timestamps into a case-centric model so attempt outcomes remain queryable. ServeManager records attempt sequence, outcome, and proof artifacts per case so evidence stays attached to the correct attempt.
Automation rules that move service states through a defined lifecycle
ProcessServerPro automation rules drive status changes and task assignments across the case lifecycle. ServeManager automates service state transitions, while Process Server Manager ties status transitions to service lifecycle records and server assignment history.
API and event sync for status changes and external workflow orchestration
ProcessServerPro exposes API-accessible service attempt events so external systems can ingest status-based automation triggers. Zendesk and Freshdesk provide REST APIs plus webhooks that fire on ticket events, which supports event-based sync for external case tracking.
Automation and integration mechanics that support configuration over custom app code
monday.com uses automation rules and an API that moves work across statuses and assignees, with an Automation Center that triggers on field changes. Trello uses Butler rules that trigger on card events and update task fields across lists, which suits teams that want automation without building a custom schema.
Admin and governance controls with audit visibility for case updates
ProcessServerPro includes RBAC-style governance and audit logging for governed access and change traceability. Zendesk also provides role-based permissions and activity auditing tied to agent actions, which supports multi-team operations.
Schema extensibility strategy for custom service practices
ProcessServerPro and ServeManager support automation based on a predefined case and service event schema, which keeps integrations consistent but can require careful schema work for bespoke entities. Airtable and Notion provide schema configuration through relational structures, which enables custom models but requires disciplined conventions to keep audit and automation logic stable.
A decision framework for service attempt data, automation triggers, and governed integration
Start with the data model needed for service-of-process reality. If service attempt sequence, outcomes, and proof artifacts must stay tied together, ProcessServerPro and ServeManager fit the case-first requirement.
Then verify the automation and API surface that moves work and emits events. Finally, confirm governance controls like RBAC and audit logging so case status changes remain traceable when multiple roles update records.
Map the service workflow to the tool’s native entities before evaluating automations
Define the core objects needed for tracking, including case, parties, service attempts, proof artifacts, and status history. ProcessServerPro and ServeManager implement a case and attempt model that keeps attempt events tied to outcomes and timestamps, which reduces the risk of orphaned evidence.
Validate automation triggers and event granularity on service attempts
Require automation that triggers on attempt events and can consistently move status states and assign tasks. ProcessServerPro automates status changes through predefined case and service event schema, while ServeManager automates service state transitions based on its attempt tracking schema with sequence and proof artifacts.
Confirm the integration surface matches what downstream systems consume
If downstream systems ingest attempt status and proof events, ProcessServerPro supports API-accessible service attempt events that can be used in event workflows. If the workflow is ticket-based, Zendesk and Freshdesk provide REST endpoints plus triggers and webhooks tied to ticket events for external sync.
Test governance controls for role separation and audit traceability
Require RBAC-style access separation so dispatch, field work, and administration map to different permissions. ProcessServerPro includes RBAC and audit logging, while Zendesk includes role-based permissions and activity auditing for controlled changes and traceability.
Choose extensibility that fits the team’s configuration discipline
If custom event-driven integration and deeply structured service events are required, prefer tools with explicit attempt and service event data constructs like ProcessServerPro and ServeManager. If the operation accepts a configurable relational model, Airtable and Notion can implement linked attempts and evidentiary records but require consistent schema conventions to keep audit and automation reliable.
Who benefits from case-centric process server software versus work-platform alternatives
Different teams need different tradeoffs between purpose-built service attempt modeling and configurable work-management platforms. Case-centric tools reduce modeling effort when service attempts and proof artifacts must be consistently attached to outcomes.
Work platforms can still work, but they require deliberate field schema design when the workflow includes multi-party case states and evidence-heavy attempt timelines.
Mid-size process server teams needing governed automation tied to service attempts
ProcessServerPro fits because it ties case events to attempts with API-accessible service attempt events and status-based automation triggers. ServeManager also fits because it centers a case and service data model with attempt sequence, outcome, and proof artifacts.
Agencies that need structured attempt timelines and role-based intake versus field work governance
Process Server Manager fits because it keeps a case-oriented model with server assignment records and status history tied to service lifecycle records. It also supports role-based access so intake and field work can be separated with structured permissions.
Operations teams that want to run service-of-process workflows as tickets with audit and event sync
Zendesk fits because it provides REST APIs plus triggers, automations, and webhooks tied to ticket events. Freshdesk fits because it provides automation rules and triggers that act on ticket status and custom fields with a REST API and webhooks for event-driven sync.
Legal operations teams that need relational case data plus programmable automation without building a custom app
Airtable fits because it uses a relational data model with linked records for cases and service attempts and supports automation triggers from record changes. Notion fits when teams also want case records, evidence, and deadlines in one configurable workspace using relational databases and the Notion API.
Teams that prefer board or card workflows with no-code automation and API-based synchronization
monday.com fits because it supports configurable boards with an API and an Automation Center that triggers on field changes and updates linked records. Trello fits because Butler automation rules trigger on card events and update task fields across lists, supported by REST APIs and webhooks.
Pitfalls that break attempt traceability, automation stability, and governance
Most failures come from modeling mismatch between the service attempt lifecycle and the tool’s native entities. Another common failure is building complex automation chains without a schema that keeps event semantics stable.
Governance gaps also cause status and evidence drift when multiple roles update the same records without audit visibility.
Approximating attempt events with generic task fields that cannot preserve evidence linkage
Zendesk and Freshdesk can work when service stages fit ticket fields, but reporting over deeply structured service events needs careful schema design. Airtable and Notion can model attempts with linked records, but the system still requires disciplined schema conventions to keep proof artifacts tied to the correct attempt.
Building automation chains that trigger on broad status changes instead of attempt events
monday.com and Trello can automate status or card moves, but complex multi-step automations can be hard to debug across linked records or board triggers. ProcessServerPro and ServeManager support status-based automation triggers that are tied to attempt event semantics, which reduces noise when configuration is done carefully.
Changing the underlying schema late without aligning automation rules and integrations
ProcessServerPro automation depends on a predefined case and service event schema, so bespoke entities may need API workarounds if schema expectations are missed. Smartsheet and Airtable can handle schema changes, but advanced governance patterns depend on careful workspace and sheet design or stable linked-record modeling.
Skipping role separation and audit log verification for high-churn operations
Tools that model work as tickets or boards can hide traceability if audit and permissions are not configured correctly. ProcessServerPro and Zendesk provide audit trails tied to access and actions, which makes it easier to validate who changed case statuses and when.
How We Selected and Ranked These Tools
We evaluated ProcessServerPro, ServeManager, Process Server Manager, Zendesk, Freshdesk, Airtable, Monday.com, Smartsheet, Trello, and Notion using features, ease of use, and value as the scoring pillars. Features carried the most weight at 40 percent, while ease of use and value each accounted for 30 percent. Each tool was scored using the concrete capability signals in the provided information, including whether the tool exposes an API and event surface, how the data model ties attempts to outcomes and proof, and how governance is implemented through RBAC and audit logging.
ProcessServerPro separated itself from the lower-ranked tools through its API-accessible service attempt events with status-based automation triggers and its RBAC plus audit logging for governance over changes and access, which directly elevated the features score and supported predictable automation throughput in case lifecycles.
Frequently Asked Questions About Process Server Case Management Software
Which tools expose the most usable API surfaces for syncing case events and service attempts?
How do SSO and access governance differ between case-native tools and ticket or workspace platforms?
What data model choices matter when migrating from spreadsheets or legacy case logs?
Which option provides the cleanest audit trail for changes across case status, assignments, and evidence?
How should teams choose between automation-first case workflows and ticket-style workflows?
What extensibility paths exist if dispatch logic needs custom triggers or routing rules?
How do these tools handle role separation between admins, case managers, servers, and staff users?
What are the common integration problems when mapping court dates, locations, and evidence artifacts into an existing stack?
Which tools support faster rollout for operational teams that require form-driven intake and consistent records?
Conclusion
After evaluating 10 legal professional services, ProcessServerPro 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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