Extracting contract insights with PwC’s AI-driven annotation on AWS

Artificial Intelligence Extracting contract insights with PwC’s AI-driven annotation on AWS This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when important insights are buried in lengthy, unstructured agreements. As contract volumes grow, finding specific clauses and assessing extracted terms can become increasingly difficult to scale. Today, many teams rely primarily on keyword and pattern-based extraction or contract management systems to analyze contracts. While these methods can work, they often fall short of providing consistent insights at a scale. As a result, many teams are exploring AI-based approaches that can combine large language models (LLMs) with automated extraction workflows. PwC’s AI-driven annotation (AIDA) solution, built on AWS, can extract structured insights from contracts through rule-based extraction and natural language queries. Using LLMs, AIDA can interpret complex legal language and extracts insights based on defined rules. Users can ask natural language questions about individual contracts or across multiple documents within a project and receive context-specific answers supported by linked citations. By reducing the need to manually search and interpret contract language, these capabilities help streamline review workflows. In customer implementations, AIDA has helped reduce manual contract review time by up to 90%, helping teams to retrieve key information more quickly and shorten review cycles. In this post, you will see how AIDA addresses these challenges. We walk through the architecture behind AIDA and demonstrate three core capabilities: template-based extraction, document-level chat, and global chat across documents. Solution overview AIDA is designed to convert unstructured documents into structured, searchable insights, streamlining the process to access and reuse critical contract information across systems. AIDA uses LLMs and a combination of AWS cloud-native and integrated services to help extract insights from contracts more effectively. The solution provides capabilities that can support organizational security, compliance, and risk management requirements, though customers remain responsible for configuring and operating the solution to meet their specific compliance obligations. As AIDA processes potentially sensitive contractual data, appropriate safeguards and human review workflows should be applied prior to business or legal reliance on AI-generated outputs. AIDA provides a holistic suite of capabilities designed to address existing challenges. The following key features highlight core functionality, which we explore in detail in the subsequent sections: - Customized Data Extraction: Extract scalable data enabled by user-defined rules and custom templates. Use the custom extraction field and logic per document and extract insights from thousands of contracts in parallel with consistent accuracy. - Natural Language Q&A Across Documents: Ask natural language questions and receive context-specific responses with linked citations to the source documents. - Integration with Model Systems: Integrate with model systems (for example, contract management systems and document repositories) that you can use to retrieve source data and deliver extracted insights. AIDA can support scalable contract analysis across a wide range of industries, including Media & Entertainment (M&E) and Real Estate—and competencies like Procurement, Legal, and Compliance. For instance, in the M&E sector,…