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Product

One governed lakehouse for your entire firm.

Microsoft Fabric Datalake unifies your DMS, practice management, billing, and CRM data into a single OneLake lakehouse — governed once, reported on everywhere, and ready to power AI when you are.

Built for regulated industries

OneLake Native Architecture
Purview Governance
Entra ID Row-Level Security
Runs In Your Azure Tenant
AI-Ready Data Layer

Your firm's data lives in five systems that don't talk to each other.

Documents sit in iManage or NetDocuments. Matters and billing live in Aderant, Elite 3E, or ProLaw. Relationships live in your CRM. Getting a single answer to "how profitable is this practice group" means an analyst manually reconciling exports in Excel — and by the time it's done, the numbers are already stale.

Microsoft Fabric Datalake gives your firm one governed OneLake lakehouse instead. Every system feeds it, every report reads from it, and it's ready to serve as the foundation for AI the moment you need it.

Single source of truth

Every system's data lands in one OneLake lakehouse instead of a dozen exports and pivot tables.

Governed at the source

Purview and row-level security tie data access to the Entra ID roles your firm already manages.

AI and reporting ready

The same governed data layer feeds Power BI dashboards today and self-hosted AI tomorrow.

One lakehouse. Every source system.

Purpose-built for law firm data — not a generic data warehouse migration.

OneLake Lakehouse

A single, open (Delta Parquet) copy of your firm's data — no more duplicated exports living in five different tools.

Prebuilt DMS & PMS Connectors

Data Factory pipelines that pull from iManage, NetDocuments, Aderant, Elite 3E, and ProLaw on a schedule you control.

Medallion Architecture

Bronze, silver, and gold layering turns raw exports into clean, business-ready tables without hand-built ETL scripts.

Power BI Direct Lake Reporting

Executive dashboards query OneLake directly — no import refresh lag, no duplicated semantic models.

Purview Governance & Sensitivity Labels

Client and matter confidentiality rules follow the data automatically, from ingestion through to a partner's dashboard.

Entra ID-Based Row-Level Security

Associates see associate-level data, partners see partner-level data — enforced at the data layer, not per-report.

AI-Ready Data Layer

The same governed lakehouse becomes the data foundation for Self-Hosted AI, Copilot, or custom model fine-tuning.

Real-Time Pipelines

Eventstream and scheduled Data Factory pipelines keep billing, realization, and utilization numbers current, not month-old.

Right-Sized Fabric Capacity

We size and monitor your Fabric capacity (F-SKU) so reporting workloads don't blow through your Microsoft budget.

From five systems to one governed lakehouse.

A proven build process designed around legal operations and finance teams, not just IT.

  1. 01

    Discovery & Data Mapping

    We inventory every system holding firm data — DMS, PMS, CRM, billing, timekeeping — and map source fields to a target model.

  2. 02

    OneLake Provisioning & Security Model

    We stand up your Fabric workspace and capacity, and configure the Entra ID-based security model that governs who sees what.

  3. 03

    Pipeline Development — Bronze Layer

    Data Factory pipelines connect each source system and land raw data into bronze tables on a schedule you control.

  4. 04

    Transformation — Silver & Gold Layers

    We clean, conform, and model the data into business-ready tables: matter profitability, realization, utilization, and more.

  5. 05

    Semantic Model & Power BI Dashboards

    We build the firm-wide semantic model and executive and practice-group dashboards on Power BI Direct Lake.

  6. 06

    Governance, Training & Go-Live

    Purview sensitivity labels are applied, your analysts and IT team are trained, and we go live with ongoing pipeline monitoring.

Real use cases. Real results.

What finance, operations, and IT teams do with the lakehouse on day one.

Financial Reporting

Firm-wide profitability in one dashboard, not five spreadsheets.

Billing data from your PMS and matter data from your DMS combine into a single profitability view by practice group, office, or partner — no manual reconciliation.

Days-long close reduced to same-day reporting
Realization & Collections

See realization trends by practice group as they happen.

Scheduled pipelines keep billing and collections data current, so leadership sees trends in near real time instead of waiting for month-end exports.

Real-time realization tracking, not month-end
Partner Compensation Prep

Comp committees get clean, reconciled numbers automatically.

The gold-layer tables that feed dashboards are the same numbers compensation committees rely on — no separate reconciliation project every cycle.

Zero manual reconciliation for comp season
AI Foundation

The same lakehouse can power your Self-Hosted AI deployment.

Clean, permissioned data in OneLake is exactly what retrieval-augmented search and fine-tuning need — so your AI initiative isn't starting from a blank slate.

One governed data layer for reporting and AI

Built on the Microsoft data platform you already license.

No third-party data warehouse. No separate vendor relationship to manage.

Microsoft FabricOneLakeData FactoryDataflow Gen2Lakehouse (Delta)Power BIDirect LakeMicrosoft PurviewEventstreamAzure SynapseEntra IDCopilot for Power BI

Frequently Asked Questions

Power BI is the reporting layer your firm already knows. Microsoft Fabric is the full data platform underneath it — OneLake storage, Data Factory pipelines, Synapse-style compute engines, and Power BI — all sharing a single copy of your data instead of a dozen scattered exports and duplicated semantic models.
Yes — Fabric runs on its own capacity (an F-SKU) billed through Azure, separate from your Microsoft 365 subscription. We size and forecast that cost during scoping based on your data volume and reporting workload, so there are no surprises on your Microsoft bill.
We build Data Factory pipelines against each system's native API or export — matter, billing, and timekeeping data from your practice management system, document metadata from your DMS — landing in OneLake on a schedule you control. No manual exports, no brittle spreadsheet macros.
Inside OneLake, within your firm's own Microsoft 365 and Azure tenant. DataWarrant doesn't host, copy, or move your data to any separate environment — we build and configure the pipelines and governance model inside infrastructure you already own.
No. Existing reports can keep running as-is while new dashboards are built on the governed lakehouse, and repointed to it over time as your team is ready. We design the migration so nothing breaks on day one.
Yes — this is one of the most common next steps. The same governed OneLake layer is the ideal data foundation for AI: document retrieval, natural-language matter search, and fine-tuning all need clean, permissioned data, which is exactly what the lakehouse provides. See our Self-Hosted AI product for how the two connect.
The build follows six phases: discovery and data mapping, OneLake provisioning and security setup, pipeline development, transformation into business-ready tables, semantic model and dashboard delivery, then governance, training, and go-live. Timeline depends on how many source systems are in scope — we'll lay out a concrete schedule during discovery. We stay engaged after launch to tune pipelines as your source systems change.

Ready to unify your firm's data?

Fill out a quick form and our team will follow up with an architecture proposal tailored to your firm's systems, reporting needs, and Microsoft footprint — no commitment required.