Data Analytics & Business Intelligence for Legal & LegalTech
in Madrid
We help law firms, legal departments, and LegalTech startups in Madrid with Make smarter decisions with data you can trust.
What we build for Legal & LegalTech
Data Warehousing
Centralised data storage with Snowflake, BigQuery, or Redshift
ETL Pipelines
Automated data extraction, transformation, and loading
Custom Dashboards
Interactive dashboards tailored to your KPIs and workflows
Self-Service Analytics
Empower teams to explore data without SQL knowledge
Embedded Analytics
Integrate analytics directly into your product or portal
Data Governance
Quality monitoring, lineage tracking, and access controls
Working with a team that understands Legal & LegalTech made all the difference. They knew our challenges before we explained them.
— Legal & LegalTech Client
Five steps to success
Step 1
Data Audit
Map your data sources, quality, and current analytics gaps
Step 2
Architecture Design
Design your data warehouse, pipelines, and analytics stack
Step 3
Pipeline Development
Build reliable ETL/ELT pipelines with monitoring
Step 4
Dashboard Creation
Design and build dashboards for each stakeholder group
Step 5
Training & Adoption
Train teams and drive adoption of data-driven culture
The results you can expect
Make data-driven decisions with real-time dashboards and alerts
Unify data from dozens of sources into a single source of truth
Reduce reporting time from days to minutes with automated pipelines
Discover hidden trends and opportunities in your data
Empower non-technical teams with self-service analytics
Ensure data quality with validation, monitoring, and governance
Have questions?
We build with Metabase, Looker, Tableau, Power BI, and custom solutions. Tool choice depends on your team, budget, and requirements.
We implement validation at every stage — source checks, transformation tests, anomaly detection, and reconciliation processes.
Yes — we build pipelines that extract from databases, APIs, spreadsheets, and third-party tools into a unified data warehouse.
A foundational data warehouse and dashboards take 6-12 weeks. Ongoing development adds new data sources and dashboards iteratively.
We implement role-based access, data masking, encryption, and audit logging to protect sensitive business data.