Case Study
Services We Delivered
Artificial Intelligence and Machine Learning
Industry
Legal
The Client
The client is a national law firm with 475 attorneys and government relations professionals across 17 offices, serving regional, national, and international clients, including more than 40% of the Fortune 500. Their work spans complex legal, regulatory, and business advisory, where high-quality research plays a critical role in driving accurate and timely decision-making.
The Challenge
- Fragmented Research Workflow: Information was scattered across tools and sources, making it hard to create a unified view.
- High Time and Effort: Complex queries required extensive manual searching, validation, and synthesis.
- Limited Depth from Tools: Traditional and basic AI tools lacked the depth needed for nuanced legal research.
- Low Trust in AI Outputs: Missing citations and traceability reduced confidence in generated insights.
- Inconsistent Quality: Research outcomes varied across teams, leading to uneven quality.
- Scalability Issues: Increasing research volume made it difficult to maintain speed and consistency.
The Solution
- Agentic AI-Powered Research Engine: Built a customized deep research tool capable of autonomously handling complex, multi-step legal queries, gathering information, and synthesizing structured insights with minimal human intervention.
- Real-Time Search Integration: Integrated live data sources to ensure all research outputs are based on the most current legal, regulatory, and market information.
- Context-Aware Insight Generation: Enabled the system to understand legal context and connect information across cases, jurisdictions, and regulations to deliver more relevant insights.
- Centralized Research Platform: Created a unified workspace for teams to access, manage, and collaborate on research, eliminating silos and improving consistency.
- Validation & Traceability Layer: Ensured every insight is backed by verifiable sources, increasing transparency and trust in AI-generated outputs.
- Scalable Architecture: Designed the solution to support firm-wide adoption across multiple offices and teams, enabling long-term scalability.
The Results
- 60% reduction in research time, enabling faster case preparation and decision-making
- 3x improvement in insight accuracy, enhancing the quality of legal recommendations
- 40% increase in team productivity, allowing attorneys to focus on high-value tasks
- Reduced manual verification efforts across research workflows
- Improved collaboration and consistency across distributed teams
- Faster delivery of data-backed insights, leading to higher client satisfaction
Struggling with time-consuming, fragmented research?
We help organizations build AI-powered research systems that turn complex questions into clear, source-backed insights, faster and with far less effort.