Preview | Hosted by Renmin University Law School and Co-organized by Xinglai Law Firm: [Advanced Seminar on Electronic Evidence and Intelligent Case Handling (Part 3)] — Gao Xiansong: Analyzing and Challenging Databases and Network Logs in Legal Cases-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 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. Three The upcoming course will be presented by Gao Xiansong, a forensic expert from the Forensic Identification Center of Beijing Yunzheng International Data Security Technology Co., Ltd., on "Analysis and Admissibility of Database and Network Logs in Legal Cases."

More course details will be released soon—stay tuned!

Analysis and cross-examination of the case's database and network logs

Gao Xiansong

Gao Xiansong is a forensic expert at the Forensic Science Center of Beijing Yunzheng International Data Security Technology Co., Ltd.

Preview of course content

How do we cut through the fog of massive electronic data to pinpoint critical clues and make silent data "speak"? And in the face of sophisticated cyberattacks, how can we meticulously unravel the evidence—building a solid, courtroom-ready case that can withstand scrutiny?

Director Gao Xiansong will deliver a lecture, drawing on his extensive hands-on experience. "Analysis and Cross-Examination of Databases and Network Logs in the Case" The course focuses on the core challenges in judicial practice, starting with the general steps of electronic data review. It systematically covers how database and network log analysis can be applied across various types of cases, along with mainstream analytical methods and essential tools.

In cybercrime cases—particularly in complex, high-profile cases involving illegal fundraising, online pyramid schemes, and internet-based gambling—legal professionals are tasked with sifting through massive databases and analyzing, identifying, and scrutinizing vast amounts of network logs. While examining the database files themselves, they must also cross-reference these findings with additional logs, such as backend database logs and control panel records. This process involves comparing the data against remote inspection reports, evidence retrieval transcripts, and relevant physical and testimonial evidence, enabling a comprehensive, comparative analysis that ultimately pinpoints critical information.

Meanwhile, Director Gao will directly address the widespread issues commonly encountered in database authentication and, from a cross-disciplinary perspective spanning technology and law, delve into how to effectively transform analytical findings into compelling evidence for courtroom cross-examination.

This course will equip participants with a clear pathway—from technical implementation to real-world courtroom practice—laying a solid foundation for effectively enhancing their skills in reviewing and utilizing digital evidence!

Preview of selected course materials

The speaker provides a detailed introduction.

Gao Xiansong, Director of the Information Security Emergency Response and Handling Center at the Beijing Internet Industry Association, Director of the Forensic Identification Center at Beijing Yunzheng International Data Security Technology Co., Ltd., and forensic expert specializing in audio-visual materials (including electronic data). Member of the Expert Group for Public Security Ministry’s Information Security Training Program, member of the NIT-Pro (Professional Level) Examination Development Committee under the Ministry of Education, and Secretary-General of the Information Engineering Committee at the Belt and Road Institute of the National Development and Reform Commission.

Since 2008, I have been engaged in forensic electronic data analysis, while also dedicating myself to research and teaching in the field of information security since 2003. I have authored the "Cybersecurity Textbook" for the Ministry of Education's NIT-Pro examination program, as well as the "Cybersecurity Lab Manual" for the same program. Additionally, I’ve developed NIT-Pro exam case studies and an extensive bank of objective questions, along with books such as the "Practical Guide to Network Management Techniques" and "Windows 2003 Network Operating System Applications."

Participating in specialized research projects and expert reviews conducted by China University of Political Science and Law, Southwest University of Political Science and Law, the People's Public Security University of China, Renmin University Law School, Peking University LawInfo, Nankai University Law School, Beijing Lawyers Association, Tianjin Lawyers Association, and other universities and social organizations.

Having participated in the development of national and industry standards organized by the Ministry of Public Security, I have dedicated over 20 years to research in the software, networking, and information security sectors. Additionally, I’ve been practicing forensic expertise in audiovisual materials—including electronic data—for 15 years, specializing in the investigation and analysis of complex and challenging cases. I also collaborate closely with legal teams, providing expert insights on evidence-gathering processes and forensic opinions specifically related to electronic data within legal proceedings.

Specializing in: Information Security, Security Incident Response, Hacker Attack and Defense Penetration Testing, Network and Information System Planning & Design—also offering training courses (CISSP, CISP, CIW, Security+, CTF, CEH, etc.).

Has previously conducted numerous computer and information security training sessions, as well as developed security solutions, for organizations including national ministry departments handling classified information, the Ministry of Public Security, the Xichang Launch Base, the Second Artillery Corps, the State Electricity Department, the Ministry of Labor, the National Tax System, the power industry, banking systems, insurance companies, Xinhua News Agency, the Zhongguancun High-Tech Industrial Park, Liaoning Mobile, Shenyang Mobile, Anshan Mobile, Microsoft, TikTok, and Dangdang.com.

Provided support to multiple internet companies in investigating, identifying, and analyzing numerous cases involving illicit activities such as hacking and cyberattacks (including incidents at ByteDance, Meituan, JD.com, Taobao, Baidu, 360, Zhaopin, and 58.com, among others).

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

You're also welcome to help spread the word!

Training Program Highlights

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 digital forensic examination of electronic data, and AI system cybersecurity and defense.

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.

[Preview of Renmin University’s Electronic Evidence Training Course (1)] Liu Pinxin: Principles of Digital Evidence in the 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

Course location: Within 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 interdisciplinary research at the intersection of law and technology, seamlessly integrating theory with practical application.

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 academic and practical fields, 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

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 (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

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 Digital 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

Source: Liu Pinxin | Mesh View Law | WeChat Official Account

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