Preview | [E-Discovery Training Course (13)] Liu Pinxin: Intelligent Review of Electronic Evidence-Starrise Law Firm

Home
About Us
- About Us
- Honor
- Culture
- Team
- Join us
Professional Field
Party Building
Blog
- Original
- News
- Performance
- Journal
Grand Defense
Network Team
Contact us

All

All
Product Management
News and Information
Introduction content
Business outlets
Frequently Asked Questions
Corporate Video
Corporate Portfolio

Home page

Editor's Note: In the wake of the digital revolution, electronic evidence has emerged as the "king of evidence" in judicial practice, while the deep integration of artificial intelligence is propelling legal operations into a new era of intelligent innovation. To align with the national call for strengthening the convergence of information technology and legal studies, Renmin University of China School of Law is officially launching the fourth session of its Advanced Training Program on Electronic Evidence and Intelligent Case Handling (2025).

This session of the training program is hosted by the Law School of Renmin University of China, with co-organization from Beijing Xinglai Law Firm. The course brings together leading experts from both theoretical and practical fields, focusing on cutting-edge topics such as electronic evidence rules, big data analytics, blockchain-based evidence preservation, and AI-driven evidence review. Through case studies and hands-on exercises, it empowers legal professionals to master the core skills needed for intelligent case management. Thirteen The upcoming course will be conducted by Professor Liu Pinxin from the Law School of Renmin University of China Lecturer: " Intelligent Review of Digital Evidence 》.

Intelligent Review of Digital Evidence

Liu Pinxin

Professor at the Law School of Renmin University of China and doctoral supervisor; part-time professor at the National Prosecutors College; Deputy Director of the Research Center for Criminal Law Science at Renmin University of China; forensic expert at the Physical Evidence Identification Center; and attorney at Beijing Xinglai Law Firm, among other roles. He is the author of a six-part series, including "The Law of Digital Evidence." 。

Preview of course content

How can legal professionals become active proponents of big data? The "Opinions of the Central Committee of the Communist Party of China on Strengthening Legal Education and Legal Theory Research in the New Era" point toward accelerating the development of emerging disciplines such as digital law.

As a long-time researcher of digital evidence, my insight is to embrace the "academic interdependence" of the digital age. And right now, the key challenge lies in making a swift decision— Intelligent Review of Digital Evidence The Road Ahead.

The core elements of this approach are a two-step method: "reviewing electronic materials rather than paper documents," "relying on model-based thinking," and "combining automated processing with human verification." The underlying principle is "there is no single standardized model"—instead, the majority opt for "digitizing human review expertise to achieve efficiency."

This lecture uses today’s diverse and impactful real-world cases as its foundation, demonstrating beginner-level techniques such as "Intelligent Review of Office Data Selection," "Intelligent Filtering by Case-Related Time Periods," and "Intelligent Filtering by Case-Specific Time Frames." It also provides hands-on practice with intermediate-level methods like "Timestamp-Based Intelligent Review," "Timeframe-Driven Intelligent Review," "Accompanying-Line Intelligent Review," "Keyword-Based Intelligent Review," "Dictionary-Database-Assisted Intelligent Review," and "High-Frequency Word Analysis for Smart Review." Finally, it showcases advanced techniques such as "AI-Assisted Intelligent Review Powered by Large Language Models" and "Smart Review Enhanced by Dedicated Platforms."

The future is here—legal professionals must leverage an intrinsic "evidence structure" combined with a human-like "proof model" to advance toward highly sophisticated, intelligent case handling.

Let's join hands and move forward into the future together!

Preview of selected course materials

Related Reading

Liu Pinxin: "Theoretical Foundations of Electronic Evidence," published in the Journal of the National Prosecutors College, Vol. 25, No. 1, 2017.
Liu Pinxin: "Techniques for Examining Electronic Evidence," published in *Chinese Procurator* No. 14, 2021.
Liu Pinxin: "On Defending with Electronic Evidence," published in Social Sciences Journal, Issue 6, 2023.
Liu Pinxin and Zhang Yizhen: "Principles and Methods of Focus-Based Examination of Electronic Evidence," published in *People's Procuratorate*, Issue 13, 2023.
Liu Pinxin, Shao Dengdi: "Experimental Review of Electronic Evidence," published in *Evidence Science*, Vol. 31, No. 3, 2023.
Liu Pinxin: "On the Theory of Electronic Evidence Reconstruction," published in *Application of Law*, Issue 8, 2024.
Liu Pinxin: "On the Exclusion of Illegally Obtained Electronic Evidence," published in *Tsinghua Law Journal*, Vol. 19, No. 3, 2025.

We sincerely invite the legal community to register and join us!

You're also welcome to help spread the word!

Training Program Overview

Course Highlights

This training course covers a comprehensive "theory + technology + hands-on practice" approach, featuring specially invited top scholars and leading experts who will jointly deliver the sessions. The content includes:

Cutting-edge technology: Large-model applications in the judiciary, standards for electronic data forensic examination, and AI system cybersecurity.

Case-handling Practice: New-style electronic evidence review, massive fund analysis, and handling cybercrime cases with advanced data tools

Tool practice: Intelligent evidence review, big data visualization analysis, and hands-on training with electronic evidence review software

Case-Based Teaching ： A comprehensive analysis of evidence and cross-examination in high-profile cases involving telecom fraud, illegal fundraising, and casino operations.

Format: Classroom lectures + Software training sessions + Academic seminars + Criminal defense gala

Course duration: July 1–5, 2025 (5 days, 4 nights)

Course location: Inside Renmin University of China

We look forward to your joining us.

Teaching Team

The course is primarily taught by the "Renmin University of China Electronic Evidence Research Team," which has long been dedicated to the interdisciplinary study of law and technology, seamlessly integrating theoretical insights with practical applications.

This training session will be led by Professor Liu Pinxin from the Law School of Renmin University of China, and will also feature other distinguished experts and scholars from both academia and practice, who are part of the team. The organizers will carefully tailor the faculty and curriculum to align with the participants' professional backgrounds and research interests, ensuring top-notch training quality and service excellence.

A Look Back at Past Highlights

Registration Process and Contact Information

1. Registration

Scan the QR code below, download the registration form, fill it out, and email it to rucfaxuepeixun@ruc.edu.cn.

2. Confirm

[Preview of Renmin University's Electronic Evidence Training Course (1)] Liu Pinxin: Principles of the Electronic Evidence Data Field and Analysis of Notable Cases

[Preview of Renmin University’s Electronic Evidence Training Course (Part 2)] Zou Jinpei: Machine Learning for Fraud Detection — A Case Study on Bitcoin

[Preview of Renmin University's Electronic Evidence Training Course (3)] Gao Xiansong: Analysis and Cross-Examination of Databases and Network Logs in Legal Cases

[Preview of Renmin University’s Electronic Evidence Training Course (4)] Zhang Peijun: Exploring Evidence Collection and Defense Strategies for Instant Messaging Chat Logs

[Preview of Renmin University's Electronic Evidence Training Course (5)] Deng Changzhi: A Comprehensive Review Method and Its Application to Financial Electronic Evidence

13260160362

[Preview of Renmin University's Electronic Evidence Training Course (6)] Wang Ran: Techniques for Reviewing Electronic Evidence & Transitioning from Big Data Case Handling to Big Data Platform Development

[Preview of Renmin University's Electronic Evidence Training Course (7)] Xu Jun: Artificial Intelligence and Its Application in Similar Case Retrieval

[Preview of Renmin University's Electronic Evidence Training Course (8)] Li Bin: How Generative AI Can Empower Legal Practice

[Preview of Renmin University's Electronic Evidence Training Course (9)] Zhao Xianwei: The Prosecutorial Perspective on Examining Electronic Data

[Preview of Renmin University's Electronic Evidence Training Course (10)] Gao Feng: Big Data Thinking, Artificial Intelligence Technology, and Reconstructing Case Facts

[Preview of Renmin University's Electronic Evidence Training Course (11)] Guo Hong: An Analysis of Forensic Examination and Review of Electronic Data and Audiovisual Materials in the Age of Artificial Intelligence

[Preview of Renmin University's Electronic Evidence Training Course (12)] Zhu Tonghui: Lexical Units, Word Vector Calculations, Intelligent Evidence, and Its Verification

The training fee is 7,980 yuan per person (including instructor fees, materials, certification costs, and other charges), but does not cover accommodation, meals, or transportation expenses.

Preferential policies:

Alumni of Renmin University of China (School of Law), or three or more individuals from the same organization (including exactly three), who register together will receive a 10% discount (CNY 7,180).

More than 10 people (including 10) from the same organization (or group) who register will receive a 20% discount (CNY 6,380).

All organizations are welcome to register collectively.

Admission Brochure Link

Enrollment Prospectus for the 4th Advanced Training Workshop on Electronic Evidence and Intelligent Case Handling (2025), School of Law, Renmin University of China