The context
Chambers is a recognised authority in the global legal market. The company evaluates and ranks law firms using deep domain expertise and large volumes of information firms provide. Historically, law firms submitted this rich information through comprehensive Word documents and PDFs.
To accelerate growth and build new analytics capabilities, Chambers wanted to stop relying on manual files and instead collect information as structured, easy-to-use digital data as law firms submit it.
Building on Chambers' existing capabilities, the initiative focused on three goals:
- Capture structured data: Convert large, complex Word and PDF documents into clean, standardised digital data that automatically feeds into core business systems and reporting tools.
- Automate at a global scale: Build a platform to handle more than 65,000 annual submissions and 850,000 records smoothly, supporting Chambers’ market expansion.
- Accelerate time-to-market: Enable business and product teams to move rapidly from requirements to a fast, production-ready platform to meet tight launch timelines.
The approach
Parser worked with Chambers’ business and product teams to modernise the submission workflow and eliminate operational bottlenecks. By transforming unstructured documents into structured, valuable data assets, the team empowered internal research teams with clean, reliable information and unlocked new opportunities for commercial analytics.
Leveraging Chambers' extensive operational knowledge and research governance, the project focused on two key areas:
- Structuring data at the source: The team built online forms and an automated parsing engine to extract key information from complex submission documents at intake. The system reduced processing time from two minutes to about two seconds with exceptionally high accuracy, ensuring verified data reaches internal teams from the start.
- Connecting the technical foundation: Rather than building separate tools, the team connected the entire journey into a single, seamless system: the online form for submitting files, the automated engine that reads them, and the underlying database. By linking these parts directly, the system moves structured data into the tools Chambers' research teams use without friction.
The impact
- 2-second processing time: Document extraction time dropped from roughly 2 minutes to approximately 2 seconds per file.
- High parsing accuracy: Structured extraction minimized the amount of information requiring manual recovery.
- 65,000+ submissions scaled: The new platform comfortably handles Chambers' full global operating scale, covering more than 850,000 records annually.
- 15%+ data reuse: Structured submission data is already flowing into new commercial analytics products.
- 3-4x market opportunity: Capturing structured data at the source created a strong, scalable foundation for future automation, benchmarking, and market expansion.
