Automating legal workflows & case management with AI

Project overview

Our client offers legal software solutions that are transforming case management and document processing.

They sought out Blankfactor’s help to build an artificial intelligence (AI)-powered summarizer and analysis tool. This solution needed to identify, extract, analyze, and summarize contracts and other legal documents to a high degree of precision.

Project goals

Collect a large dataset of legal contracts and documents to train the AI model – a diverse dataset representative of different types of legal documents
Preprocess dataset in preparation for training the AI model, including text cleaning, normalization, and tokenization
Train the AI model with the preprocessed dataset using machine learning algorithms
Implement an NPL layer enabling the AI tool identify key phrases, clauses, and entities within legal texts
Use supervised learning algorithms to build document classification capabilities into the AI tool
Use NLP techniques to enable analysis and summarization capabilities
Enable integration with other legal software tools such as case management systems, document management systems, and billing systems
Thoroughly test and validate the AI software to ensure that it is accurate, reliable, and provides highly accurate results

Team structure

Technical Architects

Senior Clojure Developers

Product and Project Managers

Quality Assurance

Tech stack

The result

Our AI software solution improves the efficiency of workflows and reduces manual effort in legal document processing.

The software allows end users to seamlessly identify data points and relevant clauses in a fraction of the time traditionally . Internal workflows have seen a massive spike in productivity, with users able to assign tasks, collaborate, and track progress more efficiently.

Case studies