Preview | Hosted by Renmin University Law School and co-organized by Xinglai Law Firm: [Advanced Seminar on Electronic Evidence and Intelligent Case Handling (Session 4)] — Zhang Peijun Discusses Strategies for Gathering Evidence from and Defending Against Instant Messaging Chat Records-Starrise Law Firm

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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 transformation. To align with the national call for strengthening the convergence of information technology and legal studies, Renmin University of China Law School 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 School of Law at 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. Four The upcoming course will be presented by Zhang Peijun, Technical Director and Senior Forensic Expert at the Beijing Guodun Information Center Forensic Science Institute, on the topic of " Exploring Forensic Techniques and Defense Strategies for Instant Messaging Chat Logs 》.

More course details will be released soon—stay tuned!

Exploring Forensic Techniques and Defense Strategies for Instant Messaging Chat Logs

Zhang Peijun

Zhang Peijun is the Technical Director and Senior Forensic Expert at the Beijing Guodun Information Center Forensic Identification Institute. He has been deeply involved in frontline forensic work involving electronic data for many years, with extensive experience in mobile phone data recovery and authenticating the integrity of digital evidence.

Preview of course content

How can WeChat chat logs become "admissible evidence" in court proceedings?

How can we identify the authenticity of seemingly "flawless" chat screenshots and effectively challenge them in court?

Senior forensic expert and tech guru Zhang Peijun will draw on his years of hands-on experience and research in electronic data forensic examination to present… "Exploring Evidence Collection and Defense Strategies for Instant Messaging Chat Logs" Delivering a lecture on the topic. The course uses WeChat, the most widely used platform, as an example to thoroughly analyze WeChat's file directory structure from its very foundation. It delves into the unique features of WeChat text messages, voice notes, and images, while also covering advanced topics such as forensic analysis of cloud-based chat logs and recovering deleted data.

This course goes beyond mere technical forensics—it focuses squarely on real-world judicial practice. By delving into in-depth analyses of cases involving the authentication and examination of chat records, we’ll explore together the evidentiary value of WeChat screenshots, notarized documents, and electronic data preservation techniques. Building on these insights, we’ll develop rigorous and effective strategies for both evidence collection and legal defense. Ultimately, this course bridges the gap between technology and law, empowering legal professionals and forensic experts to take the lead in the dynamic battle over instant messaging and digital evidence.

The speaker provides a detailed introduction.

Zhang Peijun is Beijing's first senior forensic expert in electronic data within the public legal services sector. He has dedicated 19 years to the specialized field of electronic data forensics, during which he has handled over 3,000 cases, accumulating extensive hands-on industry experience.

He serves as a member of the Computer Security Professional Committee of the China Computer Society and a member of the Audiovisual Materials (including Electronic Data) Professional Committee of the Beijing Judicial Expertise Industry Association. He is also an expert on the Expert Committee of the National New Generation Digital Justice Technology Industry-Education Integration Consortium, and has been appointed as a mentor for the forensic science program at Beijing College of Political Science and Law, as well as the moderator for the electronic data forensic standards section of the China Forum on Evidence Collection—Sinocnc.

His career in electronic data forensics began at the First Research Institute of the Ministry of Public Security, where he worked in the Information Security Technology Division and its affiliated Forensic Evidence and Identification Technology Laboratory. Over time, he rose to become the laboratory head and executive deputy director. Later, he served as a forensic expert at the Center for Physical Evidence Technology Identification of Renmin University of China. Since November 2017, he has officially taken on the roles of Technical Director and Forensic Expert at the Beijing Guodun Information Center Forensic Science Institute.

In his research career, Zhang Peijun has served as a key researcher on several significant projects, including the National "11th Five-Year" Science and Technology Support Program and a centrally funded research project focused on forensic tools for Android-based smartphones. He has also contributed to advancing the field by proposing and refining technical standards and guidelines specific to the electronic data forensic industry, thereby addressing critical gaps in current research. Additionally, he has published numerous papers in esteemed journals such as *Journal of the China Computer Society* and *Police Technology*, exploring cutting-edge topics like computer forensics theory, mobile malware analysis, and the authentication of short message integrity.

Zhang Peijun has been recognized multiple times as the Annual Advanced Worker by the First Research Institute of the Ministry of Public Security and as the Advanced Worker in Forensic Expertise for Haidian District, Beijing, due to his outstanding performance. His achievements have also been highlighted in media coverage by publications such as Fazhi Wanbao and the China Judgments Online platform.

Related Reading

Research on the Logical Tree Model for Computer Forensics, *Journal of the China Computer Society*, 2010
Research on Android Mobile Malware Forensics Techniques, *Police Technology*, Issue 4, 2012
Methods for Retrieving and Recovering Android Phone Text Messages, *Police Technology*, Issue 3, 2013
An Exploration of Authenticity Verification for Mobile Phone Short Messages, Beijing Journal of Forensic Science, June 2013
Research on Event-Based Intelligent Terminal Forensics Technology, *Prosecutorial Technology and Informationization*, Issue 1, 2014

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 + practical application" approach, featuring specially invited top-tier scholars and leading experts jointly delivering the lessons. 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 cybercrime data-driven case handling

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 and 4 nights)

Course location: Within Renmin University of China

[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

This training session will be led by Professor Liu Pinxin from the Law School of Renmin University of China, who will also serve as the team leader. Additionally, other distinguished experts and scholars from both academic and practical fields within the team will join as instructors. The organizers will carefully tailor the faculty and curriculum based on 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 send it via email to rucfaxuepeixun@ruc.edu.cn.

2. Confirm

After receiving email confirmation of successful registration, you may proceed with payment. Participants who pay using the provided payment link to enjoy the discounted rate must call Teacher Wan at (010) 62510145 to request a system update.

3. Registration Inquiries

Teacher Wan: (010) 62510145,

13301307655 (also on WeChat)

Teacher Zhang: (010) 62510145,

13260160362

(WeChat: celi1730)

Ms. Li: (010) 62510145,

18911821663 (also on WeChat)

Fax: (010) 62514365

Email: rucfaxuepeixun@ruc.edu.cn

Address: Room 611, Mingde Law Building, No. 59 Zhongguancun Street, Haidian District, Beijing

Fee Structure

The training fee is 7,980 yuan per person (including instructor fees, materials, certification costs, and other expenses), excluding accommodation, meals, and transportation costs.

Preferential policies:

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

More than 10 people (including 10) from the same organization (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

In July, meet us on Renmin University's campus and let’s together unlock the doors to the future of intelligent case handling!

Early Forecast Compilation

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

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

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

Source: Liu Pinxin | Net-Gaze Perspective

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Wuhan Branch Office Address: Room 1001, 10th Floor, Huangpu International Center, Jiang'an District, Wuhan City, Hubei Province

Edited and Layouted by: Wang Xin

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