Transforming Legal Services: How ProSearch Helped The Access Project Automate Critical Processes

In today’s fast-moving world, efficiency is essential—especially in legal advocacy, where delays can impact lives. The Access Project, a nonprofit dedicated to broadening legal services, encountered a significant challenge: attorney volunteers were spending excessive time manually reviewing and inputting data into their RAP Analyzer application. 

While thorough, this manual process created bottlenecks, slowing down vital legal services. Recognizing the need for automation, ProSearch stepped in with a pro bono solution, using technology to automate data extraction and processing from RAP sheets. 

A Smarter Solution: Automating RAP Sheet Processing 

ProSearch implemented a technology-driven approach to streamline how legal teams processed RAP sheets, official records used in criminal history evaluations. The goal was straightforward yet ambitious: reduce manual effort by automating the identification, extraction, and cross-referencing of key details within the RAP Analyzer Portal. 

To achieve this, the team leveraged optical character recognition (OCR), computer vision, and natural language processing (NLP). After testing multiple solutions, Python scripting proved the most effective, enabling efficient extraction of essential details such as court references and case numbers from scanned documents. 

Collaboration and Innovation 

This effort was a true collaboration between ProSearch’s data scientists and the Access Project’s legal teams. Members of the Linguistic and Data Science (LADS) team, including Data Engineer Xiao He and Data Analyst Catherine Zhu, worked diligently to refine extraction rules, continuously improving accuracy through quality control testing and adjustments. 

Initially, the team believed RAP sheets followed a limited number of formats. However, they quickly uncovered significant variations, requiring additional refinements. Some scanned documents had low resolution, leading to OCR errors, but the team implemented fuzzy matching algorithms to compensate and improve accuracy. 

Impact and Results 

ProSearch’s automation solution successfully identified and linked over 32,000 data points from RAP sheets, generating a cross-reference file for integration into the RAP Analyzer Portal. The impact is clear—this technology will save an estimated 150-335 hours per batch of RAP sheets, dramatically reducing manual workload. 

 By eliminating tedious administrative processes, attorneys can now focus on providing legal support to those in need, rather than being weighed down by time-consuming data entry. 

The Access Project’s dedication to justice, combined with ProSearch’s expertise in legal technology, demonstrates the power of innovation in advancing social equity. This partnership is proof that strategic solutions can drive meaningful change, ensuring that legal services remain accessible and efficient for all