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Automation Risk Analysis

Will “Legal Digital Analyst” be Automated?

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AI Exposure Risk

43%

“Legal Digital Analyst” will probably not be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 43% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

1%

“Legal Digital Analyst” will not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 1% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Digital Forensics Analysts, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Conduct investigations on computer-based crimes establishing documentary or physical evidence, such as digital media and logs associated with cyber intrusion incidents. Analyze digital evidence and investigate computer security incidents to derive information in support of system and network vulnerability mitigation. Preserve and present computer-related evidence in support of criminal, fraud, counterintelligence, or law enforcement investigations.

Job Title & Hierarchy Code (SOC) Digital Forensics Analysts #15-1299.06
ℹ️

Data is based on the reference occupation: “Digital Forensics Analysts”

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Core Skills & Abilities

  • Analyze log files or other digital information to identify the perpetrators of network intrusions.

  • Adhere to legal policies and procedures related to handling digital media.

  • Conduct predictive or reactive analyses on security measures to support cyber security initiatives.

  • Perform web service network traffic analysis or waveform analysis to detect anomalies, such as unusual events or trends.

  • Write and execute scripts to automate tasks, such as parsing large data files.

  • Write reports, sign affidavits, or give depositions for legal proceedings.

  • Preserve and maintain digital forensic evidence for analysis.

  • Develop policies or requirements for data collection, processing, or reporting.

  • Maintain cyber defense software or hardware to support responses to cyber incidents.

  • Write technical summaries to report findings.

  • Perform forensic investigations of operating or file systems.

  • Maintain knowledge of laws, regulations, policies or other issuances pertaining to digital forensics or information privacy.

  • Write cyber defense recommendations, reports, or white papers using research or experience.

  • Perform file signature analysis to verify files on storage media or discover potential hidden files.

  • Recommend cyber defense software or hardware to support responses to cyber incidents.

  • Recover data or decrypt seized data.

  • Identify or develop reverse-engineering tools to improve system capabilities or detect vulnerabilities.

  • Create system images or capture network settings from information technology environments to preserve as evidence.

  • Develop plans for investigating alleged computer crimes, violations, or suspicious activity.

  • Duplicate digital evidence to use for data recovery and analysis procedures.

Technologies & Software

  • IBM QRadar SIEM
  • v0 by Vercel
  • Microsoft PowerShell
  • ServiceNow
  • Single sign-on SSO
  • Cursor AI
  • Go
  • Kubernetes
  • Portswigger BurP Suite
  • C++
  • Microsoft Office software
  • Wireshark
  • Gemini Code Assist
  • Codeium
  • Bash
  • Apple iOS
  • IBM Terraform
  • Microsoft Defender Antivirus
  • Border Gateway Protocol BGP
  • Ruby
  • Microsoft Excel
  • Microsoft Access
  • Management information systems MIS
  • PHP
  • Intrusion detection system IDS
  • Microsoft Windows
  • Web server software
  • Linux
  • Microsoft PowerPoint
  • MITRE ATT&CK software
  • Enterprise application integration EAI software
  • Operating system software
  • Amazon Web Services AWS software
  • Lovable.dev
  • Perl
  • Microsoft Azure software
  • Amazon Simple Storage Service S3
  • R
  • Tabnine
  • Claude (Anthropic)
  • JavaScript
  • C#
  • Hypertext markup language HTML
  • Perplexity AI
  • Computer forensic software
  • OpenVAS
  • Firewall software
  • Splunk Enterprise
  • Metasploit
  • Graphical user interface GUI design software
  • Kali Linux
  • Python
  • Oracle Java
  • Slack
  • C
  • Microsoft Active Directory
  • Google Workspace software
  • Ansible software
  • System testing software
  • Cisco Systems Cisco NetFlow Collection Engine
  • Guidance Software EnCase Enterprise
  • Snort
  • Bolt.new
  • AccessData FTK
  • Extensible markup language XML
  • Devin (Cognition AI)
  • GitHub Copilot
  • Network directory services software
  • Security assertion markup language SAML
  • UNIX
  • Google Antigravity
  • Structured query language SQL
  • Platform as a service PaaS
  • Mistral AI (chat/models)
  • Tenable Nessus
  • Microsoft Windows Server
  • Apple macOS
  • Amazon CodeWhisperer
  • Geographic information system GIS systems