Project Overview

Briefly was growing rapidly as more clients turned to its marketplace to find legal professionals across multiple practice areas. While demand continued to increase, the company's client intake process remained heavily dependent on manual reviews performed by operations staff.

Each submission required teams to examine case information, verify documents, identify legal categories, perform conflict checks, and assign matters to qualified lawyers. These repetitive processes slowed response times and limited the company's ability to scale efficiently.

Our team designed an AI-assisted client intake automation platform that streamlined every stage of the screening process. By combining intelligent document analysis with workflow automation, Briefly was able to deliver faster lawyer matching while maintaining high standards for legal review.

The Challenge

The growing volume of legal inquiries created operational bottlenecks across the intake team. Every submission required manual validation before moving forward, resulting in inconsistent processing times and increasing workloads for staff.

Many clients submitted incomplete information, forcing reviewers to request additional documentation before assignments could begin. Case categorization varied between reviewers, occasionally leading to delays or incorrect lawyer matching. Conflict checks, priority assessments, and case routing were also handled manually, requiring multiple systems and repetitive administrative work.

Without centralized visibility into intake performance, managers found it difficult to identify workflow bottlenecks or optimize team capacity. The manual process affected both operational efficiency and the overall client experience.

Key Challenges

• Client submissions required extensive manual review before lawyer assignment.

• Legal matter categorization varied between reviewers, reducing consistency.

• Incomplete documentation frequently delayed case processing.

• Conflict checks involved repetitive administrative work.

• Case assignments relied on manual routing and coordination.

• Limited reporting made intake performance difficult to measure and optimize.

Our Approach

We built a centralized client intake and screening platform that combined AI-assisted document analysis with workflow automation. The solution automatically validated submissions, categorized legal matters, prioritized urgent cases, and coordinated approvals before assigning clients to the most suitable legal professionals.

Automation handled repetitive administrative tasks while allowing legal specialists to retain oversight for complex or high-risk cases, ensuring both efficiency and quality throughout the intake process.

Key Actions

• Implemented intelligent intake forms that dynamically requested information based on the client's legal matter.

• Developed AI-powered case categorization using document analysis and natural language processing.

• Built automated document validation workflows that detected incomplete or missing information before review.

• Created conflict screening workflows that automatically flagged potential conflicts prior to lawyer assignment.

• Integrated the intake platform with CRM and case management systems to eliminate duplicate data entry.

Results & Conclusion

The automated screening platform significantly improved the speed and consistency of Briefly's client intake process. Manual review time decreased by 57%, allowing operations teams to focus on complex legal matters instead of repetitive administrative tasks.

Average client response times improved by more than 70%, helping prospective clients connect with legal professionals much faster. Automated case categorization also improved lawyer matching accuracy by ensuring requests were consistently routed to specialists with the appropriate expertise.

The platform provided complete visibility into intake performance through centralized reporting, enabling continuous optimization of workflows and resource allocation.

Most importantly, Briefly established a scalable intake operation capable of supporting rapid marketplace growth while maintaining exceptional client service and legal quality standards.

Client Testimonial

"The automation platform has completely changed how we manage client intake. Our team now spends far less time reviewing repetitive submissions and far more time supporting clients with complex legal needs. Faster screening, better lawyer matching, and improved consistency have made a measurable impact across the business."

Michael Carter
Operations Director, Briefly

Key Metrics

1. 57% Reduction in Manual Review Time

2. 71% Faster Client Response Time

3. 46% Increase in Intake Processing Capacity

4. 35% Improvement in Lawyer Matching Accuracy

5. 84% Reduction in Incomplete Client Submissions

6. 3.9x ROI Achieved Within Six Months