Adidem: Transforming Legal Dispute Resolution with AI-Driven Intelligence
- ByStartupStory | October 14, 2025
Chennai-based legaltech startup Adidem leverages AI/ML to expedite arbitration and litigation processes, enhancing efficiency and reducing costs for enterprises.
Introduction
Navigating the complexities of the Indian legal system often involves sifting through extensive documentation, managing voluminous emails, and enduring prolonged timelines. Recognizing these inefficiencies, veteran lawyer Rohan K George and technologist Adarsh Sosale co-founded Adidem in 2024. Their mission: to revolutionize dispute resolution by integrating artificial intelligence and machine learning into legal processes.
The Genesis of Adidem
Rohan K George, seasoned in the legal field, frequently encountered the challenges of manual reviews and cumbersome documentation in routine disputes. The advent of OpenAI’s ChatGPT 4.0 in 2023 sparked an idea to harness AI for legal automation. This led to his collaboration with Adarsh Sosale, who had previously developed an algorithmic contract generator. Together, they established Adidem, aiming to expedite arbitration and litigation through AI/ML technologies.
Addressing Industry Challenges
The legal industry, particularly companies handling a high volume of disputes, often grapples with manual processes. For instance, a home loan company might face numerous Non-Performing Assets (NPAs), leading to potential litigations. Traditionally, managing such cases involves reviewing extensive case files and communications, a process that is both time-consuming and resource-intensive. Adidem’s solution automates these tasks, streamlining workflows and reducing the need for additional manpower.
Adidem Dispute Intelligence (ADI): A Technological Leap
Adidem’s flagship product, ADI, functions as an AI-powered in-house counsel. It integrates with official court systems to gather data on new and ongoing cases, automating the analysis of disputes. The platform identifies key issues, inconsistencies, and conflict points, providing a comprehensive summary. This approach significantly reduces the time spent on tasks such as email validation, case file review, and drafting legal documents.
A standout feature of ADI is its patent-pending drafting system, which ensures contextual accuracy by linking specific documents and facts, thereby enhancing the quality of legal drafts.
Technological Infrastructure
Adidem employs a robust tech stack combining large language models (LLMs) like Gemini, Claude, and a refined version of Llama, alongside traditional Natural Language Processing (NLP) algorithms such as TF-IDF, BM25, and fine-tuned BERT models. This hybrid approach ensures traceability, reliability, and cost-efficiency in processing legal data.
Client Engagement and Feedback
Adidem’s initial collaboration with Cadre ODR, a dispute resolution company specializing in arbitration, demonstrated the platform’s efficacy. Subsequent pilots with other companies have yielded positive feedback, with clients noting significant reductions in case resolution times and enhanced efficiency in legal processes.
Future Prospects and Funding
Looking ahead, Adidem plans to raise a seed round of $500,000 to $1.5 million by the end of 2025. The company aims to invest in product development, particularly in integrating analyses with the body of Indian case law to facilitate easier case discovery. Adidem’s approach distinguishes it from international competitors by focusing on collaborative solutions and scalability within the Indian legal ecosystem.
Conclusion
Adidem is at the forefront of transforming legal dispute resolution in India. By leveraging AI and machine learning, the startup addresses longstanding inefficiencies, offering a scalable solution that enhances the speed and quality of legal processes. As the legal industry continues to evolve, Adidem’s innovative approach positions it as a key player in the future of legaltech.
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