What is data cleaning and why does it matter so much? 

In the legal world, data quality is just as important as litigation strategy.  

Data cleaning is the process of organizing, reviewing, standardizing, and validating legal information, whether related to judicial or administrative cases. 

This process helps prevent missed deadlines, errors in reports, decisions based on inaccurate data, and even financial losses due to poor case management. In an era of automation, bad data leads to bad decisions.. 

Signs your legal team urgently needs data cleaning 

  • Duplicate or outdated spreadsheets about cases
  • Discrepancies between internal system data and court portals
  • Lack of standardization in names, case types, and subjects
  • Difficulty generating reliable reports for audits or management
  • Missed deadlines due to improperly handled notifications

saneamento-de-contratos

Direct benefits of data cleaning for judicial processes 

  • Reduced rework caused by duplicates or manual errors
  • Improved integration with bots and automated systems
  • Greater security and regulatory compliance (LGPD, compliance)
  • Better risk control and predictability
  • Solid foundation for strategic analysis and legal data science

How to start data cleaning based on best practices 

  1. Identify data sources (internal systems, spreadsheets, external portals) 
  2. Map critical fields: such as case number, type, subject, status, deadlines 
  3. Create standards and validations based on business rules 
  4. Cross-check data with official sources (e.g., e-SAJ, PJe, TRFs) 
  5. Document and maintain a clean data base continuously 

Conclusion: No clean data, no smart management 

Legal teams that want to operate with predictability, automation, and efficiency need to start with trustworthy data. Data cleaning is not a cost — it’s an investment in control and intelligence. 

Want to know where to start? Talk to our team and request a diagnosis of your legal database.