Legal teams spent countless hours reviewing documents and searching case law. Our AI-driven OCR solution extracts key information and automatically surfaces relevant precedents, allowing attorneys to focus on high-level strategy.
In the legal sector, time is quite literally money. Manually reviewing and annotating documents can consume entire days. By incorporating optical character recognition (OCR) and AI summarization, we enabled legal teams to expedite research while improving overall accuracy.
The Challenges
- Tedious Document Review: Attorneys had to read through massive sets of documents, extracting details by hand.
- High Error Risk: Human oversight could miss key names or references, jeopardizing case strategies.
- Inefficient Research: Linking extracted entities to relevant case law was a separate, manual process.
What We Did
- Cloud-Based OCR: Our engine scanned and digitized even low-quality PDFs, accurately extracting names, entities, and keywords.
- AI Summaries & Insights: Leveraging natural language processing, the system generated concise overviews and flagged critical details.
- Automated Legal Research: The platform cross-referenced recognized entities with a legal database to suggest pertinent case law and precedents.
80% Reduction in Review Time
Attorneys could quickly sort through high volumes of documents, focusing on analysis rather than grunt work.
Improved Accuracy
AI-driven extraction minimized the risk of overlooking crucial information.
Increased Strategic Focus
Freed from repetitive tasks, legal teams spent more time building stronger cases for their clients.
