A Professional Specialized Skill Training Program by Indian Arbitration Institution (IAI)
Eligibility: Any Basic Qualification or any Formal Education with Masters and any research or work experience.
Total Fees: Rs. 9,000/-
(Everything Included from Admission, Course Fees and Delivery of Certificate, no additional Fees Apart from it)
Mode: Online
Study Material:Â Will be provided through Learning Dashboard/Portal
Learning Type: Self Paced
Duration:Â 3 Months (Preferably, but can be completed anytime as soon as you give the Exam)
Enrollment:Â Any Time, there is no Fixed Enrolment Date or Day. A candidate can choose any time and the enrolment will be processed real time.
Exam: One Online Exam, MCQ and Subjective Type Questions of 100 Marks. Passing Marks 40%. If unsuccessful, you can give additional two attempts.
Procedure: Fill the Apply Now Form → Pay the Requisite Amount of Fees by Clicking Pay Now Button → Then Click on Payment Confirmation button and fill the form with all the Details → Then login to the Dashboard.
The intersection of artificial intelligence and dispute resolution represents a structural shift in international commercial practice, procedural justice, and legal analytics. The Post-Doctoral Research in AI & Arbitration (PODRAIA), offered by the Indian Arbitration Institution (IAI), is an advanced, post-terminal research-focused credential designed for scholars, senior arbitration practitioners, technologists, and legal academics. This program moves beyond basic technological literacy to explore the complex normative, jurisprudential, and algorithmic implications of integrating automated decision-making and cognitive computing into alternative dispute resolution (ADR).
Artificial intelligence is reshaping every stage of the arbitral lifecycle—from predictive arbitrator selection and automated conflict checks to predictive case analytics, machine-assisted document review (TAR), draft award evaluation, and fully algorithmic Online Dispute Resolution (ODR) mechanisms. However, this deployment creates critical legal questions: algorithmic bias, explainability, procedural transparency, the non-delegation of judicial functions, and the ultimate enforceability of arbitral awards under the New York Convention. The PODRAIA curriculum provides a rigorous platform for advanced inquiry into how arbitral tribunals, institutions, and counsel can implement autonomous systems without undermining party autonomy or due process.
Participants analyze comparative global regulatory models, including the European Union Artificial Intelligence Act, the Silicon Valley Arbitration & Mediation Center (SVAMC) Guidelines on AI in International Arbitration, and emerging international institutional protocols. The program trains researchers to conduct interdisciplinary research that bridges computational logic, procedural arbitration law, and legal philosophy.
Scholars are guided through specialized investigative methodologies, empirical modeling of arbitral decisions, and the formulation of publishable research monographs. By examining real-world simulations, institutional case studies, and systemic vulnerabilities, candidates build the expertise needed to critique, architect, and govern AI-integrated dispute platforms. Administered through the Indian Arbitration Institution, this post-doctoral skill training program positions fellows at the forefront of techno-legal research, international arbitration reform, and digital justice policy.
The tentative modules are as follows:
Module 1: Foundations of Artificial Intelligence and Cognitive Technologies in ADR
Architecture of machine learning, Natural Language Processing (NLP), and large language models (LLMs) in legal reasoning.
Evolution of Online Dispute Resolution (ODR) into autonomous and intelligent dispute resolution systems.
Party autonomy, digital sovereignty, and the procedural boundaries of automated tribunal administration.
Module 2: Algorithmic Selection of Arbitrators and Conflict Analysis
Data analytics, predictive modeling, and biographical mining for tribunal appointments.
Algorithmic detection of conflicts of interest, continuous disclosures, and institutional impartiality.
Mitigation of historical bias, algorithmic stereotyping, and lack of demographic diversity in training datasets.
Module 3: AI in Evidence Management, e-Discovery, and Factual Analytics
Technology-Assisted Review (TAR), predictive coding, and automated privilege logs in complex international disputes.
Evidentiary admissibility, provenance verification, and deepfake detection in electronic evidence.
Cybersecurity protocols, confidential data processing, and enterprise data privacy within arbitral proceedings.
Module 4: Machine Reasoning, Assistive Drafting, and Decision-Making Systems
Autonomous generation of procedural orders, evidentiary summaries, and draft awards.
The legal limits of tribunal delegation: distinguishing administrative AI assistance from adjudicative judgment.
Algorithmic explainability (the black box problem), reasoning standards, and compliance with the right to be heard.
Module 5: Enforceability of AI-Assisted Awards and Global Treaty Frameworks
Scrutiny of AI-involved arbitral awards under Article V of the New York Convention on the Recognition and Enforcement of Foreign Arbitral Awards.
Public policy exceptions, procedural due process violations, and challenges based on tribunal misconduct.
Comparative judicial attitudes toward AI-generated or AI-assisted awards across major arbitral seats.
Module 6: Governance, Soft Law, and International Regulatory Frameworks
The Silicon Valley Arbitration & Mediation Center (SVAMC) Guidelines on the Use of Artificial Intelligence in Arbitration.
Cross-border impact of the EU AI Act, high-risk legal system classifications, and global standards (ISO/IEC, OECD, UNESCO).
Institutional policies: ICC, LCIA, SIAC, and UNCITRAL approaches to technological integration.
Module 7: Advanced Research Methodologies in Computational Law and ADR
Empirical legal methods, quantitative analysis of arbitral awards, and natural language corpus linguistic studies.
Interdisciplinary frameworks: combining computational ethics, doctrinal legal analysis, and socio-legal critiques.
Methodological approaches to designing regulatory sandboxes for digital justice mechanisms.
Module 8: Post-Doctoral Monograph Design, Policy Reform, and Scholarly Publishing
Formulating advanced research projects and policy proposals on dispute resolution technology.
Peer-review publishing strategies for tier-one international arbitration, technology law, and legal philosophy journals.
Translating technical and doctrinal findings into actionable institutional rules and legislative drafts.
The integration of artificial intelligence into cross-border dispute resolution requires high-level interdisciplinary oversight. The PODRAIA provides the theoretical foundations and research competencies needed to lead in this emerging field.
First, this course addresses the growing need for specialized governance frameworks. As international law firms and institutions adopt generative AI, they require expert analysis on algorithmic transparency, data confidentiality, and tribunal integrity. PODRAIA equips scholars to design, evaluate, and audit automated systems to ensure they comply with international procedural standards.
Second, the program prepares candidates to resolve complex cross-border enforceability issues. While AI tools improve speed and efficiency, an incorrectly used tool can jeopardize an entire award under Article V of the New York Convention. Participants develop the technical and doctrinal precision necessary to protect awards against challenges rooted in algorithmic bias, unauthorized delegation, or breaches of natural justice.
Finally, the course serves as an academic and professional milestone. By combining research methodology with direct exposure to emerging global standards like the SVAMC Guidelines and the EU AI Act, candidates gain the specialized expertise needed to influence policy and lead institutional reform. Certified by the Indian Arbitration Institution, the program demonstrates an advanced mastery of international dispute resolution and cognitive computing.
The Post-Doctoral Research in AI & Arbitration credential equips specialists for senior leadership, academic advisory, and strategic policy roles worldwide:
Post-Doctoral Fellow and Senior Research Fellow: Leads advanced funded research, cross-faculty initiatives, and policy think tanks focused on the future of justice, computational law, and arbitration technology.
Arbitration Technology Counsel and ADR Innovation Director: Advises premier domestic and multinational law firms on integrating AI tools, auditing e-discovery processes, and managing technology risks in complex disputes.
Institutional Policy Advisor and Legal Registrar: Consults for international arbitral institutions (such as SIAC, LCIA, ICC, and PCA) to draft AI guidelines, manage automated case dockets, and oversee tech governance.
ADR Systems and ODR Platform Architect: Partners with legal technology developers to design compliant, automated, and explainable dispute resolution engines for enterprise platforms and global trade networks.
Senior Law Faculty and Chair of Legal Informatics: Directs specialized university departments, postgraduate seminars, and executive education programs in arbitration law, cyber law, and digital justice.
International Arbitrator and Expert Evaluator: Acts as an arbitrator, tribunal secretary, or independent expert witness in disputes involving algorithmic liability, data governance, and high-value technology contracts.
The Indian Arbitration Institution offers the PODRAIA through an accessible online structure tailored to senior academics, legal practitioners, and working researchers worldwide.
Eligibility Applicants must hold:
Any Basic Qualification or Formal Education with a Master's degree, along with demonstrated research experience or professional work experience in law, arbitration, technology, or related fields.
This interdisciplinary standard welcomes master's degree holders, doctoral alumni, practicing advocates, arbitration specialists, corporate counsel, and technology policy researchers.
Total Fees The all-inclusive fee for the program is Rs. 9,000/-. This fee covers the entire program lifecycle: admission, digital course materials, access to the learning dashboard, examination fees, and the physical printing and courier dispatch of the final completion certificate. There are no additional or hidden charges.
Mode and Study Material The program is conducted completely Online. Upon enrollment, scholars receive verified credentials to the IAI Learning Dashboard/Portal. Complete Study Material—including advanced readings, treaty texts, algorithmic governance frameworks, and research guides—is hosted directly on the portal for continuous reference.
Learning Type and Duration The program is structured as a Self-Paced learning path. The recommended completion timeline is 3 Months, but candidates have full schedule flexibility. Researchers can finish the curriculum, submit coursework, and sit for the final examination at any time according to their personal schedule.
Enrollment Enrollment remains open Any Time throughout the year. There are no fixed enrollment cycles, registration cutoffs, or semester deadlines. Applications are processed in real time, granting immediate portal access upon confirmation.
Examination Structure The course concludes with One Online Exam carrying a total of 100 Marks, comprising both Multiple Choice Questions (MCQs) and Subjective analytical questions.
Passing Marks: 40%
Re-attempt Facility: Candidates who do not secure the qualifying marks on their initial attempt are permitted up to two additional attempts at no additional cost.
Step-by-Step Procedure
Complete and submit the official Apply Now Form on the IAI portal.
Remit the program fee of Rs. 9,000/- by clicking the Pay Now button.
Select the Payment Confirmation button and submit the verification form with the required transaction details.
Log into the Learning Dashboard to access the academic modules and begin the research program.