Global Law Firm Transforms Marketing and Early Case Assessment with Augmented Analytics
Customer Company Size
Large Corporate
Region
- America
- Asia
- Europe
- Middle East
Country
- United States
Product
- Tellius
Tech Stack
- Augmented Analytics
- Machine Learning Modeling
- Natural Language Processing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Revenue Growth
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Professional Service
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
The customer is a top 100 global law firm with a revenue of $1 billion. The firm employs over 1,000 attorneys and operates across 16 offices located in the United States, Europe, Asia, and the Middle East. The firm is committed to building a data-driven culture to empower its case teams, marketing, finance, and operations departments. By leveraging data, the firm aims to surface new insights, make better decisions for case strategy, and accelerate opportunities to increase revenue, improve profitability, and offer the best representation to clients. The firm is led by Peter Geovanes, the Head of Data Strategy, AI, and Analytics, who is focused on transforming the firm's approach to data and analytics.
The Challenge
The law firm faced significant challenges with its data analytics environment. The firm used point solutions for every part of the business, resulting in a lack of a centralized ERP for operations or a data warehouse as a central repository. This made it difficult to incorporate data from third-party vendors into the analysis, which was crucial for having a unified view of data. Additionally, the existing analytical tools were outdated and overly complicated, requiring analysts to spend many hours manually manipulating data and creating reports and queries. This lack of self-service intelligence in their analytics portfolio further hindered the firm's ability to quickly gain insights and make informed decisions.
The Solution
The firm chose Tellius as its analytics platform to address its challenges. Tellius enables the firm to combine data from multiple sources, including accounting, case management, and external third-party data feeds. The platform harmonizes and enriches data to highlight important signals and metrics, creating unified views for analysis. Tellius's automated analytics capabilities allow the firm to quickly identify underlying patterns, segments, and outliers in the data, revealing insights that were previously unseen. This has significantly reduced the time required to identify new business opportunities. Additionally, Tellius offers self-service analytics with natural language processing, empowering non-technical users to interact with data and visualizations easily. The platform also supports machine learning modeling, enabling the firm to advance into predictive analytics without investing in a separate system. By using Tellius, the firm avoids high per-user fees and maximizes the benefits of analytics across the enterprise.
Operational Impact
Quantitative Benefit
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