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Litigation Technology Specialist (Computer Science / AI Background) (berkeley)

Negotiable Salary

1903 Gayley Rd, Berkeley, CA 94720, USA

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Overview We are seeking a candidate with a strong background in computer science, data management, and AI technologies to support litigation. A legal degree is not required; however, this role is essential in helping to organize, process, and analyze large volumes of case-related data and documents, as well as to provide technical support for complex litigation. Responsibilities • Organize, structure, and maintain large volumes of case files. • Assist the team with litigation support, including but not limited to legal writing and research, discovery, metadata analysis, and evidence handling. • Support motion and trial preparation by creating technical summaries, timelines, and database reports. • Ensure all digital evidence and case files are securely stored and easily retrievable. • Collaborate with the legal team to translate technical findings into clear, legally relevant reports. • Manage case deadlines. • Apply AI and machine learning techniques to identify patterns, trends, and relevant evidence within case data, etc. • Perform other tasks as needed to support litigation. Qualifications • Bachelor’s or master’s degree in computer science, Data Science, or a related field. • Strong background in computer science to assist with legal research, writing, data management, and machine learning. • Strong English language skills (written and verbal). • Familiarity with databases or digital forensics preferred. • Ability to process and organize large, complex datasets. • Strong communication skills to explain technical concepts to a legal audience. • Interest in law, litigation support, social justice, civil rights, or legal technology is a plus. • Ability to follow detailed work instructions and collaborate effectively with the legal team. We welcome applications from recent computer science graduates with a strong technical background.

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1903 Gayley Rd, Berkeley, CA 94720, USA
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