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CRM migration

HubSpot to Intapp DealCloud Migration

What actually moves, what has to be rebuilt, and how to prove the result matches. HubSpot is A horizontal CRM that professional-services firms often adopt through marketing first; Intapp DealCloud is Deal and relationship management for transactional practices and professional services.

The hard part of this move is not the export. It is the difference in how the two systems think. HubSpot works in contact records; Intapp DealCloud works in deal or opportunity records. Get that mapping wrong and every report built on it afterwards is wrong too. This page covers the field map, what does not survive, what it costs, and the reconciliation step that decides whether anyone trusts Intapp DealCloud in month two.

The two systems, side by side

HubSpotIntapp DealCloud
Primary recordContactDeal or Opportunity
GroupingCompany associationsCompany, coverage teams and relationship tiers
Activity historyEngagements: notes, calls, emails, meetingsInteractions, meetings and pipeline history
DocumentsAttachments on records, plus the file managerLinked from external storage
Getting data outCSV export per object and a well-documented API.Platform export tooling and the DealCloud API.
Who administers itNone, though marketing usually owns it.A dedicated BD or operations team.
PricingFree tier through enterprise seats.Custom quoted.
Record models drive the field map below. Where the two rows differ, that line is a decision rather than a mapping.

What breaks

  • HubSpot works in contact records and Intapp DealCloud works in deal or opportunity records. That is a re-modelling exercise, and it is the first decision, not a mapping detail.
  • Grouping changes: Company associations becomes Company, coverage teams and relationship tiers. Somebody has to define what a group means in the target before load.
  • Activity history moves with partial fidelity. HubSpot stores it as engagements: notes, calls, emails, meetings; Intapp DealCloud expects interactions, meetings and pipeline history.
  • Automations, reports, dashboards and permissions never transfer. Budget them as build work.
  • Every connected system has to be repointed and retested: the DMS, billing, e-signature and the shared inbox.

Known hazards on each side

Leaving HubSpot:

  • Associations between contacts, companies and deals are what carry structure, and flat exports lose them.
  • Marketing email and workflow history does not migrate to a vertical system.
  • Property names drift over time because anyone can create them.

Arriving in Intapp DealCloud:

  • Deals are not matters, and mapping between the two loses either pipeline or delivery detail.
  • Coverage models and relationship tiers are firm-specific configuration.
  • Interaction capture is often automated, so the volume of history is large.

The field map

ConceptIn HubSpotIn Intapp DealCloudWhat to watch
Primary recordContactDeal or OpportunityDifferent shape. Decide the mapping before any data moves.
GroupingCompany associationsCompany, coverage teams and relationship tiersThe target groups records differently, so grouping is created rather than copied.
Activity historyEngagements: notes, calls, emails, meetingsInteractions, meetings and pipeline historyExpect partial fidelity. Types, timestamps and authorship survive; structure often does not.
DocumentsAttachments on records, plus the file managerLinked from external storageUsually a separate extract and load from the record data.
Owner and assignmentAssigned user or advisor fieldsAssigned user or team fieldsMap departed staff explicitly. Records assigned to nobody disappear from every view.
Custom fieldsFirm-specific fields added over timeCreated to match, or consciously droppedThe audit here is the work. Undocumented fields that reports depend on are the usual surprise.
Map against fifty real records, including the ugly ones, rather than against the schema. Every remap is a decision with a compliance consequence, so record who made it.

Cost and timeline

PhaseTypical range
Data audit and cleanup$3,000 to $25,000
Migration execution$5,000 to $50,000
Target configurationTwo to six weeks
Ongoing administrationAbsorbed by existing operations staff
Published 2026 ranges. Cleanup and customization discovered mid-project commonly pushes first-year cost 30 to 50 percent past the original estimate.

The five phases

  1. Audit HubSpot. Count records per object, find duplicates and orphans, and decide what does not come with you. Get that decision signed off before mapping.
  2. Map against real records. Use the table above as the starting point, then walk fifty live records field by field.
  3. Dry run into a Intapp DealCloud sandbox. Load the full set, not a sample. Sample loads hide the failures that only appear at volume.
  4. Cut over on a quiet window. Freeze writes in HubSpot, load, repoint every integration, unfreeze. Keep HubSpot read-only for at least a quarter.
  5. Reconcile. Compare Intapp DealCloud to HubSpot record by record and field by field, and produce a variance report.

The full version of this plan, with the failure evidence behind it, is in the CRM migration playbook.

The compliance clause

State retention rules and the firm's duties over the client file survive the migration. A matter that lands in the target without its history is a records gap, not a cosmetic issue. Keep the field map, the variance report and the mapping sign-offs with the records, because the decisions you made in phase two are part of the record too.

Spend your first two weeks on HubSpot and your last two weeks on reconciliation. Loading Intapp DealCloud is the part any vendor can do. Migrations that go wrong almost always shortened one of the two ends.

Where Caddi fits

Caddi does the mechanical half and then keeps doing it. Show it the task once and it reads HubSpot, applies your field map, loads Intapp DealCloud, and then compares both sides record by record and hands back a variance report you can act on. Because it runs over APIs across your stack, the same agent covers the parts a migration tool ignores: documents filed to the right deal or opportunity with the right metadata, and the post-cutover hygiene that otherwise becomes someone's Monday.

Caddi automation for these systems: HubSpot and Intapp DealCloud.

Related migrations

Migration without the manual pass

Move and reconcile HubSpot into Intapp DealCloud

Caddi reads HubSpot, applies your field map, loads Intapp DealCloud, then compares both sides record by record and reports the variances.

Frequently asked questions

How do you migrate from HubSpot to Intapp DealCloud?

Audit the HubSpot data first, then map fields against fifty real records rather than against the schema, dry run the full set into a Intapp DealCloud sandbox, cut over on a quiet window with writes frozen, and reconcile record by record afterwards. CSV export per object and a well-documented API. Intapp DealCloud then needs the records loaded in dependency order, with documents as a separate pass.

What does not transfer from HubSpot to Intapp DealCloud?

HubSpot works in contact records and Intapp DealCloud works in deal or opportunity records. That is a re-modelling exercise, and it is the first decision, not a mapping detail. Grouping changes: Company associations becomes Company, coverage teams and relationship tiers. Somebody has to define what a group means in the target before load. Activity history moves with partial fidelity. HubSpot stores it as engagements: notes, calls, emails, meetings; Intapp DealCloud expects interactions, meetings and pipeline history.

How long does a HubSpot to Intapp DealCloud migration take?

Six to twelve weeks is realistic for a clean mid-size move, and three to six months where Intapp DealCloud is being implemented at the same time. Firms with years of history in HubSpot should budget several weeks of cleanup before any data moves.

Who administers Intapp DealCloud afterwards?

A dedicated BD or operations team. That is one of the reasons this move is lighter than a platform migration.

What are the compliance implications for law firms?

State retention rules and duties over the client file survive the migration. A gap in matter history is a finding, not a cosmetic issue, so keep the field map, the variance report and the sign-offs with the records.