In this episode of Tech Talks Daily, I sit down with Lisen Kaci, co-founder of Discrepancy AI, a company that's pushing the boundaries of AI-powered document analysis. Lisen shares how Discrepancy AI transforms the way businesses handle unstructured documents like PDFs, invoices, financial records, and even heavily photocopied images. Through advanced AI, Discrepancy AI converts these into structured, searchable data, unlocking insights and improving workflows for legal firms, financial institutions, and beyond.

We explore the fascinating origins of Discrepancy AI and how it addresses the limitations of traditional Optical Character Recognition (OCR) technology, which hasn't evolved much since 1974. Lisen details how their AI goes beyond simple text extraction, working with complex formats like charts, graphs, and tables, and even analyzing pixel-level data to detect signs of document tampering or fraud. This capability is transforming the way industries approach document integrity and security.

Lisen also dives into the specific challenges legal firms face when processing massive volumes of documents, from contracts to tax filings. He discusses how AI can automate much of the tedious work, freeing up legal professionals to focus on higher-level tasks. With law firms increasingly interested in becoming AI-powered, Lisen shares his thoughts on how the industry is evolving toward more technology-driven practices.

We also touch on privacy concerns and how Discrepancy AI ensures that data is handled securely, without training on customer information. Looking ahead, Lisen predicts a future where law firms will fully integrate AI solutions, allowing them to offer faster, more accurate services to their clients.

Could AI truly revolutionize the legal industry, making processes more efficient and secure? Join us as we dive deep into the future of AI in legal tech with Lisen Kaci.