Job Description

The Forensic Technology practice of our client is a global data and technology team dedicated to assisting clients with complex regulatory, compliance issues, investigations, and disputes. Their team expertly handles large multi-jurisdictional investigations and disputes across diverse industries such as Aerospace and Defense, Manufacturing, Health Sciences, and Finance.

As a Senior Associate in their Forensic Technology practice, you will join a team of eDiscovery specialists that execute and deliver the full Electronic Discovery Reference Model (EDRM) process from early stages of data scoping and collection through processing, analysis, and production. This client-facing position requires a strong focus on understanding client requirements and collaborating with other specialists to devise solutions to effectively meet those demands.

Successful candidates will demonstrate meticulous attention to detail and robust technical expertise with the aim of becoming a subject matter expert in eDiscovery and legal project managemen t. You will work in a cooperative manner with internal resources, directly interact with clients and other key stakeholders, and support the seamless integration of our advisory services into broader forensic accounting and technology solutions.

Key Responsibilities

• Execute and support all phases of the Electronic Discovery Reference Model (EDRM), focusing on early case assessment, review, analysis, and production for client projects.
• Interface with internal and external stakeholders to organize document reviews, provide insights into sets of unstructured data, ensure timely completion of deliverables and client requests, and prepare client-ready reports, insights, and presentations.
• Support the collection, processing, and management of large sets of digital evidence in the form of electronic communications, documents, and records from a wide array of information systems.
• Assist in execution of e-discovery operational tasks, including remote collections, evidence management, data processing, review support, and productions, as needed.
• Leverage problem-solving approaches to overcome unexpected challenges, including combining industry-standard and bespoke software to create innovative, efficient and defensible solutions to meet client needs.
• Research and highlight potential challenges and opportunities to Forensic Technology market offerings and clients resulting from emerging technologies, market trends, and legislation.
• Identify potential process improvements and support innovation to enhance Forensic Technology’s capabilities, addressing both current and future client requirements.
• Develop client relationship and leadership skills through supervising the work of less experienced colleagues and managing various elements of allocated work activities/work streams.

Required Qualifications

• Bachelor or Master’s Degree in a STEM discipline (Computer Science, Engineering, Statistics, etc.), Accounting, Law, or other relevant field or equivalent work experience.
• A minimum of 2-3 years of professional work experience in roles related to eDiscovery, digital forensics, or similar disciplines, including usage of industry-standard eDiscovery software such as Relativity (One).
• Experience with managing the entire eDiscovery lifecycle, including document collection, processing, review, and production.
• Ability to support multiple engagements simultaneously while effectively managing and communicating priorities to ensure timely and successful delivery of projects. Preferred

Qualifications

• Achieved or working towards one or more digital forensics or eDiscovery-related certifications.
• Advanced knowledge of Relativity or similar document review platforms.
• Experience using forensic data collection, processing, and analytic tools such as Encase, FTK, Axiom, Cellebrite, NUIX, Brainspace, or similar.
• Experience in evidence seizure, chain of custody, and data collection including knowledge of performing data collection in cloud solutions such as Gmail or O365.
• Experience with analytics techniques, tools, as well as programing and database languages, such Python and SQL.
• Familiarity with one or more of the following domains: digital forensics, data analytics and visualization, data science, AI and machine learning, international compliance standards, information governance, and global data privacy laws.

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