CRM migration

Migrate from Dibcase Legal Case Management to Freshsales

Field-level mapping, validation, and rollback between Dibcase Legal Case Management and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.

Dibcase Legal Case Management logo

Dibcase Legal Case Management

Source

Freshsales

Destination

Freshsales logo

Compatibility

83%

10 of 12

objects map 1:1 between Dibcase Legal Case Management and Freshsales.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Dibcase Legal Case Management is a practice-management platform built for Social Security disability and VA claims firms, with core objects for Clients, Matters, Lead Stages, Documents, and SSA ERE integration. It stores firm-specific practice-area configuration, lead pipeline stages, and per-client billing tiers. Freshsales is a sales CRM that organizes data around Contacts, Accounts (companies), Leads, Deals, and Activities — it has no native case-matter concept and uses lifecycle stages and deal stages for pipeline tracking instead. FlitStack AI migrates Dibcase Clients to Freshsales Contacts (with primary Account assignment), Matters to Freshsales Deals (one Deal per matter), and Dibcase Lead Stages to Freshsales custom lifecycle_stage pick-list fields on Contact and Lead objects. Document attachments re-upload to Freshsales's file storage with original filenames and parent-record links preserved. SSA ERE batch-queue records, practice-area custom fields, and SSA spreadsheet imports have no native Freshsales equivalent — those migrate as custom fields or lookup objects, and your team rebuilds any ERE-monitoring logic in Freshsales's workflows. We use Dibcase's direct data export as the primary extraction mechanism (Dibcase provides scoped API access and CSV export tooling) combined with structured record reads to build a migration package. We run a sample migration against a representative slice of your data before committing the full load, with a delta-pickup window capturing any Dibcase changes during cutover.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Dibcase Legal Case Management logo

Dibcase Legal Case Management

What's pushing teams away

  • Narrow practice-area focus on Social Security disability and VA claims makes the platform poorly suited for firms handling family law, criminal defense, or general civil matters.
  • Limited ecosystem compared to mainstream legal CRMs means fewer third-party integrations, fewer app marketplace add-ons, and fewer specialized implementation partners.
  • Small review sample and relatively unknown vendor status raises concerns about long-term product support, roadmap stability, and exit options if the company pivots or shutters.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Dibcase Legal Case Management objects map to Freshsales

Each row shows how a Dibcase Legal Case Management object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Dibcase Legal Case Management

Client

maps to

Freshsales

Contact

1:1
Fully supported

Direct map. Each Dibcase Client becomes one Freshsales Contact. The client's primary matter becomes the first Deal associated to that contact. Dibcase's client status values (Active, Deferred, Inactive, Other) map to a custom contact_status__c pick-list field on the Contact object. The mapping preserves all client contact details including name, email, phone, address, and custom fields while linking the contact to the appropriate firm Account.

Dibcase Legal Case Management

Client

maps to

Freshsales

Account

many:1
Fully supported

Dibcase stores firm/organization data on the Client record itself. We extract the firm name field and create a corresponding Freshsales Account, then link the Contact to it via the primary AccountId lookup. If no firm name exists, the contact lands without an Account — flagged for manual review.

Dibcase Legal Case Management

Matter

maps to

Freshsales

Deal

1:1
Fully supported

Each Dibcase Matter maps to one Freshsales Deal. The matter name becomes the Deal name, and Dibcase's matter status (New, In Progress, Pending SSA, Hearing, Approved, Denied) becomes a Freshsales custom matter_status__c pick-list. Freshsales deal stage (Appointment Scheduled → Proposal → Negotiation → Closed Won) is assigned based on matter type — SSA matters use a dedicated SSA pipeline with stage names that mirror Dibcase workflow states.

Dibcase Legal Case Management

Matter

maps to

Freshsales

Lead

1:many
Fully supported

Matters in Dibcase lead stages (New Lead, Rejected Lead, Closed Lead) that haven't converted to full matters route to Freshsales Leads. Once Dibcase shows a matter has been formally opened (SSA filing started), that record splits to a Freshsales Deal instead, preserving the Dibcase matter ID in a source_matter_id__c field.

Dibcase Legal Case Management

Lead Stage (kanban pipeline)

maps to

Freshsales

Custom pipeline + Deal Stage

1:1
Fully supported

Dibcase's lead-stage kanban cards (New Lead → Pending SSA → Hearing → Decision) become a Freshsales Sales Pipeline with custom Deal Stage names. Each Dibcase lead stage gets a corresponding Freshsales stage so the pipeline view mirrors the firm's case workflow. Stage-entered timestamps are preserved as stage_entry_date__c custom datetime fields on the Deal.

Dibcase Legal Case Management

Document / File

maps to

Freshsales

Freshsales Files

1:1
Fully supported

Dibcase documents attached to matters are downloaded and re-uploaded to Freshsales Files, linked to the corresponding Deal record. Dropbox/GDrive connected folders are flagged for manual re-link after migration — Freshsales's native file storage replaces the Dibcase cloud folder structure. File size limits apply: Freshsales caps files at 25MB per upload.

Dibcase Legal Case Management

SSA ERE Import Records

maps to

Freshsales

Custom Object

1:1
Fully supported

Dibcase's SSA ERE batch-queue records (SSA forms, hearing dates, status updates pulled from the SSA ERE website) have no Freshsales native equivalent. We migrate them as a custom SSA_Events__c object with fields for ssn_last_four__c, hearing_date__c, ecs_status__c, and source_updated_at__c. Your team rebuilds ERE monitoring using Freshsales workflows or a reconnected Chronicle integration.

Dibcase Legal Case Management

Task / Calendar Event

maps to

Freshsales

Task / Event

1:1
Fully supported

Dibcase tasks and calendar events map to Freshsales Tasks and Events with original timestamps, due dates, and assigned attorney/representative preserved. Dibcase's SSA hearing reminders carry through as Freshsales Events with the hearing_date__c field populated. Task priority maps to Freshsales task priority (High / Medium / Low).

Dibcase Legal Case Management

Time Entry

maps to

Freshsales

Custom Object

1:1
Fully supported

Dibcase time-tracking entries (attorney hours, paralegal time, case-related tasks) have no direct Freshsales equivalent. We migrate them as a Time_Entry__c custom object linked to the Contact and Deal, with fields for entry_date__c, hours__c, billing_type__c, and description__c. Freshsales's native billing is separate from time tracking — your team configures time-entry workflows in Freshsales or connects a billing add-on.

Dibcase Legal Case Management

Billing / Fees Record

maps to

Freshsales

Custom Object

1:1
Fully supported

Dibcase stores fee agreements, outstanding balances, and billing records per client. Freshsales has no native billing module (that is handled by separate Freshworks products). We preserve fee records as a Fees__c custom object with amount__c, status__c, due_date__c, and billing_type__c fields for reference and reconciliation — your finance team maps these to Freshbooks or QuickBooks after cutover.

Dibcase Legal Case Management

Custom Matter Fields (practice-area specific)

maps to

Freshsales

Custom Fields on Contact / Deal

1:1
Fully supported

Dibcase custom fields built for SSD, VA, personal injury, and workers' compensation practice areas map to Freshsales custom fields. Each practice-area type requires its own field set — SSA disability fields (ICD_codes__c, onset_date__c, disability_type__c) and PI fields (incident_date__c, at_fault_party__c) live as separate field groups attached to the Deal object. Your admin pre-creates the field schema before data lands.

Dibcase Legal Case Management

SSA Spreadsheet Import (ERE data)

maps to

Freshsales

Custom Field on Deal

1:1
Fully supported

Dibcase's SSA ERE spreadsheet import (OHO and A/C spreadsheets downloaded from the SSA ERE website) stores row-level SSA case-update data. We migrate this as an ERE_Last_Import__c long-text area field on the Deal with the raw data preserved. Any automated ERE monitoring logic built in Dibcase has to be rebuilt using Freshsales workflow rules or a reconnected Chronicle Legal integration.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Dibcase Legal Case Management logo

Dibcase Legal Case Management gotchas

Medium

Client status tier-counting rule excludes Leads and Archived clients

High

ERE automation is SSA-edition-specific and session-dependent

High

No public API means migration runs through CSV/Excel exports

Medium

Document folder index does not include ERE-native attachments

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Dibcase's SSA lead-stage pipeline has no direct Freshsales equivalent — stage names must be rebuilt as a custom pipeline

    Dibcase organizes SSA case flow through a customizable kanban of lead stages (New Lead → Pending SSA → Hearing → Decision). Freshsales uses standard Deal Stage names tied to sales sales processes. FlitStack AI maps each Dibcase stage to a Freshsales Deal Stage in a dedicated SSA pipeline, but the stage names themselves are recreated as custom pick-list values on the Deal object. Stage-transition timestamps from Dibcase are preserved in a stage_entry_date__c custom datetime field. Because Freshsales pipelines are per-object (not global), you need to configure the SSA pipeline in Freshsales before data lands so the stage value-mapping has a target schema.

  • SSA ERE batch-queue records and ERE monitoring have no native Freshsales home — rebuilding is required

    Dibcase's most distinctive feature for Social Security firms is the built-in SSA ERE import (batch queue processing, hearing-date monitoring, Chronicle Legal integration for SSA portal updates). Freshsales has no SSA-specific module. FlitStack migrates ERE import records as a custom SSA_Events__c object so the data is preserved, but any automated ERE polling, hearing reminders, and SSA status-change alerts built in Dibcase must be rebuilt in Freshsales using workflow rules or a reconnected Chronicle Legal integration. Firms relying heavily on ERE automation should budget for that rebuild as a separate project step.

  • Client-count tier pricing does not translate — per-seat Freshsales pricing may cost more or less depending on team size

    Dibcase charges by client count ($59–$299/month for 50–500 billable clients) with unlimited users. Freshsales charges per seat ($9–$59/user/month). For a 5-person firm with 200 clients, Dibcase runs $199/month while Freshsales at $39/user for 5 seats runs $195/month — roughly equivalent. But if your team grows to 10 users while client count stays at 200, Dibcase remains $199/month while Freshsales hits $390/month. We flag the pricing model delta in the migration plan so your finance team can model the cost trajectory before committing to the move.

  • Dibcase's practice-area custom fields require Freshsales admin to pre-create the field schema

    Dibcase supports custom fields per practice area (SSD fields like ICD_codes__c, onset_date__c, VA rating fields, PI incident_date__c, workers' comp carrier fields). Freshsales custom fields are created at the object level and aren't practice-area-scoped — a field named disability_type__c on a Deal applies to all Deals. We deliver a field-schema blueprint before migration specifying which custom fields to create, their types, and which practice-area types should use them. Fields must exist in Freshsales before the migration run commits records, otherwise unmapped fields drop.

  • SSA spreadsheet imports (ERE OHO and A/C data) are preserved as text blobs, not structured records

    Dibcase lets firms download SSA OHO and A/C spreadsheets from the SSA ERE website and import them to update case statuses in batch. Those spreadsheet rows contain government-records data in SSA-specific column formats. Freshsales has no SSA form schema. FlitStack migrates the most recent ERE import timestamp and summary data as an ERE_Last_Import__c long-text field on the Deal — preserving the fact that an import occurred and when. Row-level SSA government records remain accessible only in Dibcase's export unless you connect a dedicated SSA integration post-migration.

Migration approach

Six steps for a successful Dibcase Legal Case Management to Freshsales data migration

  1. Extract and profile Dibcase data

    FlitStack connects to Dibcase using your API credentials and scoped read access to pull all Clients, Matters, Lead Stages, Documents, Tasks, Time Entries, and SSA ERE records. We run a data-quality profile against the export — identifying missing email addresses on contacts, matter records with no assigned attorney, documents exceeding Freshsales file-size limits, and duplicate client records. You receive a data-profile report before any mapping work begins so you can decide how to handle dirty records.

  2. Design Freshsales custom field schema

    Based on the data-profile report, FlitStack delivers a Freshsales field-schema blueprint specifying every custom field to create (SSA_Events__c, Time_Entry__c, Fees__c, Practice_Area__c, ICD_codes__c, Hearing_Date__c, etc.), their types (pick-list, datetime, decimal, long-text), and which Freshsales objects they attach to. Your Freshsales admin (or our team) creates the schema in your Freshsales instance before the migration run. This step is the longest planning work for Dibcase migrations because practice-area diversity drives field count.

  3. Run sample migration with field-level diff

    A representative slice of your Dibcase data — typically 100–300 records spanning clients, matters in each lead stage, documents, and tasks — migrates to Freshsales against the live schema. FlitStack generates a field-level diff showing every source value mapped to its destination field, flagging any fields that didn't populate or hit Freshsales validation errors. You review the diff and approve before the full run commits. This is where SSA stage mapping, matter-status pick-list values, and attorney-owner resolution get validated.

  4. Execute full migration with delta-pickup window

    The full Dibcase dataset loads into Freshsales using the approved mapping. A delta-pickup window opens at migration start and runs 24–48 hours after the initial load completes, capturing any new or modified Dibcase records created during the cutover window. All documents are re-uploaded to Freshsales Files with parent-record links. SSA ERE records, time entries, and fee records land in their respective custom objects. An audit log records every record operation — create, update, link — so reconciliation is traceable.

  5. Reconcile and rebuild ERE workflows

    After data lands in Freshsales, FlitStack delivers a reconciliation report comparing Dibcase record counts and field totals against Freshsales totals. Any gaps are investigated and fixed. The ERE monitoring rebuild begins here — firms reconnect Chronicle Legal for SSA ERE polling, rebuild SSA hearing-reminder workflows in Freshsales's workflow builder, and configure practice-area-specific automation rules. Freshsales sequences, SLA rules, and auto-assignment rules also need to be rebuilt at this stage if they existed in Dibcase.

Platform deep dives

Context on both ends of the pair

Dibcase Legal Case Management logo

Dibcase Legal Case Management

Source

Strengths

  • Integrated ERE automation handles SSA online system logins, batch downloads, and exhibit pulls without manual browser sessions.
  • Pre-built SSA and VA government form templates cover the full disability practice document set with auto-formatting.
  • Client-size pricing model scales predictably for growing firms with no per-user seat charges on any tier.
  • Batch queue processing with status visibility and audit logging supports high-volume multi-SSN workloads common in disability practices.
  • Cloud-based U.S. infrastructure with data sovereignty assurances and integrated Dropbox, Google Drive, and AWS storage options.

Weaknesses

  • No publicly documented API limits automated migration to CSV/Excel export workflows, which requires manual field mapping for complex custom objects.
  • Platform scope is narrow to Social Security disability and adjacent claims; firms branching into other practice areas will outgrow the feature set.
  • Small review corpus (13 GetApp, 2 G2, 13 Capterra) and limited market visibility make independent vendor risk assessment difficult.
  • Tier limits are defined by client count, so firms near tier boundaries face disruptive auto-upgrades mid-growth cycle.
  • Chronicle Legal integration is specific to disability-adjacent workflow tools; generic ERP or HRMS integrations are not available.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Dibcase Legal Case Management and Freshsales.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Dibcase Legal Case Management: Not publicly documented.

  • Data volume sensitivity

    B

    Dibcase Legal Case Management doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Dibcase Legal Case Management to Freshsales migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Dibcase Legal Case Management to Freshsales data migrations

Answers to the questions buyers ask most during Dibcase Legal Case Management to Freshsales migration scoping. Not seeing yours? Book a call.

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Most Dibcase-to-Freshsales migrations complete in 48–72 hours of clock time for under 10,000 records. Larger setups with 50,000+ records, multiple practice areas, or heavy SSA ERE batch-queue data extend to 7–10 days. The longest planning step is designing the Freshsales custom field schema for each practice area before data lands — plan 3–5 days for schema setup and sample migration review before the full run commits.

Adjacent paths

Related migrations to explore

Ready when you are

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