Pakistan’s legal system, long plagued by inefficiencies, delays, and a massive backlog of pending cases, may soon witness a revolutionary shift with the introduction of Qazi.ai. This AI-powered legal technology platform, currently in its alpha testing phase, is designed to provide legal assistance to both professionals and the general public. The project, spearheaded by developers Aadil Jaleel and Daniyal Yasin, aims to streamline case processing, improve legal research, and enhance accessibility to legal knowledge across the country.
With over 2.2 million cases pending in courts and 57,000 stuck in the Supreme Court alone, Pakistan’s judicial system is in dire need of modernization. The lack of automation and digital case management further exacerbates the issue, making legal proceedings time-consuming and inefficient. Qazi.ai seeks to address these challenges by introducing AI-driven solutions that assist in case filing, document drafting, mooting, and even judgment generation. Inspired by the Ottoman Qazis—renowned for their fair and efficient judiciary—the platform is envisioned as a digital legal assistant that will bridge the gap between traditional legal frameworks and modern technological advancements.
At its core, Qazi.ai operates on a multi-tiered model, catering to business-to-business (B2B), business-to-government (B2G), and business-to-consumer (B2C) segments. For legal professionals and law firms, it provides an AI-powered case management system that simplifies legal research, automates documentation, and enhances efficiency in litigation processes. Government institutions stand to benefit from streamlined case processing and increased court accessibility, reducing the burden on judges and legal clerks. The general public, often deterred from seeking legal help due to complexities and costs, will be able to access simplified legal guidance and draft basic legal documents through the platform.
Developing an AI-powered legal platform in Pakistan, however, comes with its own set of challenges. The most significant hurdle has been the lack of a centralized and digitized legal database. Unlike many developed nations where legal records are well-structured and easily accessible, Pakistan’s legal documents are often fragmented, handwritten, or stored in non-standardized formats. This has made it difficult to train AI models on local case law, requiring extensive efforts in data collection and structuring.
Beyond data availability, the cost of AI infrastructure presents another challenge. Running large-scale AI models requires high-performance computing resources, including GPUs and cloud storage, which come at a hefty price. Hosting on cloud platforms can result in monthly expenses ranging from Rs. 22 million to Rs. 65 million, depending on the scale of adoption. The total development and deployment cost of Qazi.ai across all key stakeholders—judiciary, law firms, and the public—is estimated at Rs. 220 million ($800,000).
Despite these challenges, Qazi.ai’s developers have leveraged cutting-edge AI technology to ensure efficiency and scalability. The platform is built on a Retrieval-Augmented Generation (RAG) architecture, utilizing Meta’s LLAMA open-source model as its foundational large language model (LLM). This open-source approach ensures greater data security, flexibility, and cost-effectiveness, though the team remains open to exploring alternative models if they offer superior performance or cost benefits.
Currently, Qazi.ai is in its alpha stage, available through invite-only access as it undergoes rigorous testing and refinement. The team is actively working on enhancing its capabilities and securing funding to scale deployment. The ultimate vision for Qazi.ai is not just limited to Pakistan; the founders aim to expand the platform into international markets, particularly in the United States, positioning it as a regional leader in AI-driven legal technology.
Future enhancements in Qazi.ai include advanced legal analytics to help predict case outcomes based on precedent, multilingual support in Urdu and regional languages to ensure accessibility for all Pakistanis, and integration with court and law firm systems for more efficient case management. One of the most ambitious goals is to refine AI-driven judgment generation models, assisting judges in making faster and more accurate rulings.
To accelerate its growth and gain international recognition, Qazi.ai is also participating in the Meet the Drapers competition, a startup pitch event created by Silicon Valley investor Tim Draper. The competition, which relies on public votes, presents an opportunity for Qazi.ai to attract global investors and further validate its potential as a game-changer in legal technology. Supporters can cast their votes by navigating to the “AI TikTok” section and selecting Qazi.ai.
With its pioneering approach to AI-powered legal assistance, Qazi.ai stands at the forefront of Pakistan’s judicial transformation. By bridging the gap between traditional legal frameworks and cutting-edge technology, it has the potential to enhance access to justice, reduce case backlogs, and modernize legal proceedings. If successfully implemented and widely adopted, Qazi.ai could redefine the future of law in Pakistan, making justice more efficient, transparent, and accessible to all.
