CRM migration

Migrate from InfoTrack to Pipedrive

Field-level mapping, validation, and rollback between InfoTrack and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

InfoTrack logo

InfoTrack

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between InfoTrack and Pipedrive.

Complexity

CModerate

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

InfoTrack is a litigation workflow platform built around matters, parties, court filings, and process-serving records — it is not a traditional CRM, which makes the migration to Pipedrive a structural data-model translation rather than a direct object swap. There is no native InfoTrack-to-Pipedrive connector because the platforms share almost no equivalent concepts. FlitStack AI handles this by treating InfoTrack matters as Pipedrive Deals, parties as People, opposing counsel and plaintiff/defendant organizations as Organizations, and court-specific fields (case number, jurisdiction, filing status, service attempt count) as custom fields on the deal record. Document links are preserved as notes on the deal. Activity history — eFiling orders, service attempts, expense records — migrates as Activity records with original timestamps and assigned owners. Workflows, automations, and integration hooks built in InfoTrack (eFiling triggers, court-return webhooks, Clio or Time Matters sync rules) have no equivalent in Pipedrive and must be rebuilt as Pipedrive Automations after migration. We export via InfoTrack's API and CSV export tools, transform the payload to match Pipedrive's bulk-import schema, then run the migration through Pipedrive's import API with a delta-pickup window for in-flight matters at 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

InfoTrack logo

InfoTrack

What's pushing teams away

  • Court-stamped documents and expenses stop syncing back to the Matter when the eFiling service connection drops or the integration with the case management system expires, requiring manual re-authentication to resolve.
  • Credit card processing fees apply to every transaction, and ACH carries a state-variable flat fee that accumulates into a visible line item on invoices for high-volume litigation firms.
  • No public API means there is no programmatic way to extract bulk data from InfoTrack—all data retrieval requires manual CSV export from the admin UI, which limits what can be migrated to a new platform without vendor coordination.
  • Integration keys can be lost if the account admin closes the browser during onboarding, requiring a support request to regenerate the unique firm integration key for re-establishing the case management connection.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How InfoTrack objects map to Pipedrive

Each row shows how a InfoTrack object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

InfoTrack

Matter

maps to

Pipedrive

Deal

1:1
Fully supported

InfoTrack matters map directly to Pipedrive Deals. Each matter's name, status, open/closed date, assigned user, and linked parties migrate as deal fields. Custom properties (case_number, jurisdiction, filing_status) are created as Pipedrive custom deal_fields before migration so the import populates them on first write.

InfoTrack

Party (Attorney/Contact)

maps to

Pipedrive

Person

1:1
Fully supported

Attorney contacts stored in InfoTrack — name, email, phone, firm name, bar number, role (plaintiff_attorney, defense_counsel) — map to Pipedrive People records. Role-specific data migrates to Person custom fields. Multiple attorney roles per matter are preserved as deal-linked Person records with role labels.

InfoTrack

Party (Organization — Law Firm / Opposing Party)

maps to

Pipedrive

Organization

1:1
Fully supported

InfoTrack party records typed as organizations (law firms, opposing party companies) map to Pipedrive Organizations. Organization name, address, and industry (Legal Services) migrate directly. Notes from InfoTrack party records transfer to the Organization notes field. In cases where a single InfoTrack matter links multiple law firms or opposing entities, each organization receives its own Organization record linked to the same deal.

InfoTrack

Filing Record

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

Each InfoTrack filing event (filing_type, filed_date, court, status) becomes a Pipedrive Activity of type 'Task' linked to the corresponding Deal. The activity subject carries the filing description; custom fields carry the court and filing-type details. Original timestamps and assigned user are preserved.

InfoTrack

Service Record

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

Process-serving records — service_attempt_count, service_address, server_name, status (attempted, served, not_served), returned_date — migrate as Pipedrive Activities on the deal. Service status is value-mapped to Pipedrive's deal status or a custom pick-list field for granular tracking. Each service attempt retains its original timestamp and assigned process server so your team can reconstruct the full service history in Pipedrive.

InfoTrack

Expense / Cost Record

maps to

Pipedrive

Activity (Note) + Custom Field

1:1
Fully supported

InfoTrack expense records linked to a matter (filing fee, service cost, service_charge) migrate as deal Activity notes containing the cost description and amount. For reporting, a custom currency field on the deal aggregates total matter cost as a sum of migrated expense records.

InfoTrack

Document Link

maps to

Pipedrive

Note

1:1
Fully supported

InfoTrack document links (filed_copies, signed_documents, return_filings) are URLs pointing to stored files. These migrate as Pipedrive Notes on the deal with the document label as the note title and the URL in the note body. Pipedrive does not host files natively; URLs are preserved as references for re-linkage post-migration.

InfoTrack

Matter Custom Properties (case_number, jurisdiction, filing_status, judge, hearing_date)

maps to

Pipedrive

Deal Custom Fields

1:1
Fully supported

InfoTrack custom properties have no Pipedrive native equivalent. Before migration, FlitStack creates custom fields on the Pipedrive Deal object — text fields for case_number and judge, date fields for hearing_date, and pick-list fields for jurisdiction and filing_status. Custom field keys are mapped value-by-value during import.

InfoTrack

Matter Linkages (related_matters, parent_matter)

maps to

Pipedrive

Deal-to-Deal Link

1:1
Fully supported

InfoTrack matter relationships (consolidated cases, related proceedings, master-docket structure) do not have a direct Pipedrive equivalent. Related matter IDs are stored as a custom multi-select text field on each deal. For active litigation tracking, a deal-to-deal link can be created manually post-migration or via Pipedrive's Activities or Products linking.

InfoTrack

InfoTrack User / Assigned Attorney

maps to

Pipedrive

User

1:1
Fully supported

InfoTrack user records are resolved to Pipedrive users by email match. Active InfoTrack users must have Pipedrive user accounts created before migration so matter assignments resolve to valid OwnerIds. Unmatched users are flagged and assigned to a fallback owner before the migration runs.

InfoTrack

eFiling Order

maps to

Pipedrive

Activity (Task)

1:1
Fully supported

eFiling orders placed through InfoTrack (order_id, service_type, court_system, submission_status) become Pipedrive Activities on the deal with a descriptive subject line. The order ID is stored as a custom field on the activity for traceability back to InfoTrack. Court system and service type are mapped to additional custom fields on the Activity record, preserving the full context of each eFiling submission for audit and compliance purposes.

InfoTrack

Clio Sync / Time Matters Sync Config

maps to

Pipedrive

No Equivalent

1:1
Fully supported

InfoTrack's bi-directional sync with Clio or Time Matters has no Pipedrive equivalent. Sync configurations cannot be migrated. Post-migration, firms must set up Pipedrive's integration with their practice management system separately. FlitStack provides an integration setup guide as part of the post-migration handoff.

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.

InfoTrack logo

InfoTrack gotchas

High

InfoTrack is a workflow layer with no standalone CRM data model

Medium

Custom folder sync for documents requires Time Matters 16.6+

High

No public API means bulk export requires manual CSV downloads

Medium

Integration keys must be regenerated when reconnecting to a new case management system

Medium

Per-order invoice granularity complicates matter-level billing reconstruction

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Legal-specific matter fields have no Pipedrive native equivalent — custom fields are mandatory

    InfoTrack matter records carry court-specific fields — case_number, court_jurisdiction, filing_status, judge_name, hearing_date, and service attempt counts — that have no counterpart in Pipedrive's default Deal object schema. Pipedrive's standard deal_fields API must be called to create these as custom fields before any matter data can import. If custom field creation is skipped, these values drop silently during bulk import. FlitStack's pre-flight checklist includes the full list of required custom field definitions, field types (text, pick-list, date, numeric), and pick-list option values. Firms that use jurisdiction-specific filing statuses (e.g., 'accepted_with_modifications', 'rejected_without_prejudice') must add each as a pick-list option in Pipedrive's field settings before migration — Pipedrive rejects values not in the allowed pick-list.

  • InfoTrack matter-to-party links require manual deal-person association after bulk import

    InfoTrack stores N:N relationships between matters and parties — one matter can have multiple attorneys, opposing parties, and law firms attached. Pipedrive's deal-person association is managed via the deal_participant_key or Person-to-Deal link, but bulk import through Pipedrive's CSV import tool does not support multi-participant assignment in a single row. Each matter with more than one party contact requires a secondary association pass after the initial import using Pipedrive's API or a post-import script. FlitStack generates this association batch as part of the migration deliverable, but the pass must run after the deal import completes to avoid foreign-key errors on the first write.

  • Pipedrive bulk import caps at 25,000 records per pass — large InfoTrack matter histories require batching

    Pipedrive's native import tool supports a maximum of 25,000 records per pass for instantaneous import. InfoTrack firms with active litigation dockets can accumulate far more than 25,000 total records when matter history, filing records, service attempts, and activity logs are counted together. FlitStack splits large migrations into sequential batches of 25,000 records, with each batch importing separately and a delta-sync pass at the end to reconcile any records modified during the batching window. Batching adds one to two days to the migration timeline and increases the risk of partial data if the split logic does not preserve deal-activity parent-child integrity across batches.

  • InfoTrack integration automations (Clio sync, Time Matters webhook, court-return triggers) do not migrate and must be rebuilt

    InfoTrack's value for litigation firms comes partly from its integration hooks — the Clio bi-directional sync, Time Matters integration, and court-return webhook triggers that auto-update matter status when a filing is accepted or a document is returned. Pipedrive has no native equivalents to these legal workflow triggers. Pipedrive Automations can be configured to respond to deal-field changes (e.g., set a deal stage when a custom filing_status field is updated), but the trigger logic, conditions, and downstream actions must be authored from scratch in Pipedrive's automation builder. FlitStack exports the InfoTrack automation definitions as a reference document, but the rebuild work falls outside the data migration scope and is quoted as a separate implementation task.

  • InfoTrack document URLs stored as external links cannot be verified for access after migration

    InfoTrack's document management stores court-filed documents as URLs returned from the eFiling API (e.g., court-portal links, EF-IL links). These URLs point to InfoTrack's hosted document store or directly to court portals. When migrated to Pipedrive, these URLs are written as Note content. Pipedrive does not validate or re-host these files — if InfoTrack revokes access, changes document URLs, or the firm cancels its InfoTrack subscription post-migration, the document links in Pipedrive become broken references. Firms should re-attach documents to Pipedrive by downloading from InfoTrack and re-uploading to Pipedrive's file storage or a linked cloud drive before canceling InfoTrack access.

Migration approach

Six steps for a successful InfoTrack to Pipedrive data migration

  1. Export and audit InfoTrack data via API and CSV

    FlitStack connects to InfoTrack using scoped read access (admin-level API token) to export all matter records, party records, filing orders, service logs, expense records, and document link metadata. We run a data-quality audit against the export — identifying orphaned parties, missing matter owners, inconsistent filing status values, and multi-party matters with more than one linked contact. You receive a written audit report before migration begins so decisions about data cleanup can be made before any write operations occur.

  2. Configure Pipedrive custom fields and schema

    Before any data is written to Pipedrive, FlitStack provisions the required custom fields on the Deal, Person, Organization, and Activity objects using Pipedrive's field API. Fields include case_number (text), court_jurisdiction (pick-list), filing_status (pick-list), judge (text), filing_date (date), hearing_date (date), attempt_count (numeric), service_status (pick-list), and process_server (text). Pick-list options are populated with the exact values present in your InfoTrack data. Pipedrive users must be created and assigned roles before this step so owner resolution works during import.

  3. Transform and map InfoTrack records to Pipedrive schema

    The exported InfoTrack records are transformed into Pipedrive's import format (CSV or API-payload). Matters become Deals with custom fields populated from InfoTrack properties. Party contacts become People and Organizations linked to the deal. Filing orders and service records become Activities on the deal with original timestamps and owners. Multi-party matters are resolved into one primary Person link plus additional participant associations generated as a separate association-batch file for post-import application. Document URLs are written as Notes on the deal.

  4. Run sample migration and field-level diff

    A representative slice of 100–500 InfoTrack records migrates first — spanning matters across different jurisdictions, filing statuses, and party counts. FlitStack generates a field-level diff comparing source values against the Pipedrive destination records so you can verify that case numbers, filing statuses, service attempt counts, and owner assignments landed correctly. Issues identified in the sample (incorrect pick-list mappings, missing custom field options, owner resolution failures) are corrected before the full run. This pass also validates that the Pipedrive custom fields were created with the correct field keys used in the field_mapping plan.

  5. Full migration with delta-pickup and post-import association batch

    The complete InfoTrack dataset migrates to Pipedrive. A delta-pickup window (typically 24–48 hours) runs alongside the full migration to capture any matters created or modified in InfoTrack during the cutover window. After the primary import completes, the association batch (multi-party deal-person links) is applied via Pipedrive's API. A post-migration QA pass validates record counts, spot-checks deal fields, confirms activity linkage, and verifies that no custom field values were truncated or dropped during import. FlitStack delivers an audit log and one-click rollback capability if reconciliation uncovers data integrity issues.

  6. Integration rebuild and post-migration handoff

    FlitStack delivers a rebuild reference document listing every InfoTrack integration and automation with its trigger conditions, actions, and configuration parameters. Your Pipedrive admin (or our implementation team) uses this document to configure Pipedrive Automations for equivalent workflows. Document re-attachment from InfoTrack to Pipedrive's file storage is included in this phase. A 30-day post-migration support window covers any data discrepancies, user access issues, or field-mapping corrections that surface during real use.

Platform deep dives

Context on both ends of the pair

InfoTrack logo

InfoTrack

Source

Strengths

  • Covers US federal, bankruptcy, and state court eFiling in a single platform with real-time docket syncing.
  • Bidirectional sync with integrated case management systems means court-returned documents and expenses land directly in the Matter without manual steps.
  • Pay-per-use model with no subscription, no per-seat licensing, and no setup fees for firms with variable litigation volume.
  • Integrated process serving network with up to five attempts per order and automated status updates.
  • Pre-population of court forms from Matter data reduces data entry errors and accelerates filing turnaround.

Weaknesses

  • InfoTrack is not a standalone practice management system—it requires an integrated case management system to manage contacts, matters, and client billing.
  • No documented public API for bulk data retrieval; all exports require manual CSV download from the admin panel.
  • Limited to US federal and state court workflows; not applicable for international, immigration, or transactional law practices.
  • Credit card processing fees and state-variable ACH fees add cost complexity for high-volume litigation firms.
  • Integration key loss during onboarding requires a support ticket to resolve, creating friction when reconfiguring integrations.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Moderate CRM migration. 1 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across InfoTrack and Pipedrive.

  • Object compatibility

    C

    1 of 8 objects need a manual workaround.

  • 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

    InfoTrack: Not publicly documented.

  • Data volume sensitivity

    B

    InfoTrack doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your InfoTrack to Pipedrive 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 InfoTrack to Pipedrive data migrations

Answers to the questions buyers ask most during InfoTrack to Pipedrive migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your InfoTrack to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most InfoTrack-to-Pipedrive migrations complete in 48–72 hours for under 25,000 total records. The pre-migration audit and Pipedrive schema configuration (creating custom fields, setting pick-list options, provisioning users) adds 2–3 business days of planning. Large firms with 50,000+ matters, multi-party relationships, and active eFiling history extend to 5–10 days. Pipedrive's 25,000-record import limit requires batching for large datasets, which adds one to two days per additional batch.

Adjacent paths

Related migrations to explore

Ready when you are

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