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Legal Analyst
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StoneX

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Bengaluru(Hybrid)

Employment IconEmployment Type: Full Time

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Job Description

Job Title: Legal Analyst

Company: StoneX

Years of Experience: Minimum 3 years (6+ years overall legal experience preferred)

Location: Bengaluru

Role Type: Full-Time Role

Salary: As per company standards / commensurate with experience

Eligibility: Bachelor’s or Master’s degree in Law (LLB/LLM) with prior corporate or law firm experience

Role Overview:

The Legal Analyst will be responsible for supporting StoneX’s in-house legal department with document review and eDiscovery for complex litigation and regulatory investigations. The role involves analyzing high volumes of legal documents for relevance, privilege, and accuracy, ensuring compliance with legal protocols and operational excellence across global delivery centers.

Key Responsibilities:

  • Review litigation and investigation documents for relevance, privilege, and case-specific concepts.
  • Perform quality control (QC) and quality assurance (QA) checks to maintain accuracy and efficiency.
  • Support document review projects using eDiscovery tools such as Relativity.
  • Draft decision logs, identify issues, and escalate when required.
  • Ensure adherence to standard operating procedures and project protocols.
  • Provide protocol and process training to team members as needed.
  • Participate in incident response and support ongoing legal and regulatory matters.
  • Maintain clear documentation and communication of review processes.

Skills and Qualifications:

  • Minimum 3 years’ experience in document review or eDiscovery (Relativity).
  • Strong knowledge of litigation processes and regulatory investigations.
  • Proficient in MS Office and review tools (Relativity, etc.).
  • Experience in managing large-scale document review workflows.
  • Excellent analytical, organizational, and communication skills.
  • Bachelor’s/Master’s in Law with 6+ years of total legal experience.
  • High attention to detail and ability to work with large volumes of complex data.