Advanced Client Data Solutions Senior Tech & Analytics AdvisorK L McKinney Consulting • Baltimore, Maryland, United States
Advanced Client Data Solutions Senior Tech & Analytics Advisor
K L McKinney Consulting
- Baltimore, Maryland, United States
- Baltimore, Maryland, United States
À propos
Our portfolio covers a large spectrum of legal tech solutions including artificial intelligence, eDiscovery, information analysis, regulatory updates, databases, deal rooms, workflow management, case management, document automation, risk assessment, reporting, and apps.
Location:
Remote; preferred in or near Baltimore, MD. Candidates must be based in the United States. Hybrids of 1–2 days per week in office preferred at one of our office locations in MD, MA, CO, TX, CA, FL, MN, NY, PA, or DC.
Compensation:
$150,000 - $175,000 per year
Minimum Education:
Bachelors
Job Type:
Full Time
Job code:
DL012
DUTIES AND RESPONSIBILITIES
Consult with case teams and clients to develop analytics and machine learning strategies and custom workflows and ensure their successful execution in complex litigation and investigations.
Consult with case teams and clients on eDiscovery technology and best practices, including drafting and advising on all aspects of ESI and TAR protocols, including machine learning and validation.
Lead even the most complex litigation support and advanced technology projects as primary point of contact and manage all activities and workflows.
Supervise the execution of projects and project tasks by Advanced Client Data Solutions Project Managers and Coordinators.
Act as a technical advisor and conduct advanced training on analytics, machine learning, and review tools for case teams and other firm personnel.
Encourage case teams to leverage internal resources and the firm’s managed services program.
Maintain and improve best practices and standard operating procedures in consultation with Advanced Client Data Solutions Team Leads.
Develop and execute on strategies for disparate data sources, including structured, unstructured, mobile, and cloud data.
Ensure eDiscovery specifications and deliverables conform to case requirements, with respect to machine learning, validation, processing and production.
Anticipate, prevent, identify, and resolve issues.
Maintain defensible documentation at all times.
Establish project milestones, provide status reports, and conduct meetings with service providers and case teams to keep projects on track.
Develop cost estimates, advise clients on minimizing costs, and ensure projects are completed on time and within budget.
Delegate appropriate tasks to vendors and internal resources.
Assist and take initiative with firm and departmental projects as required.
REQUIRED KNOWLEDGE, SKILLS AND EXPERIENCE
Proficiency with Relativity
Proficiency with with Reveal AI, Brainspace, NexLP, and/or Relativity Structured Analytics
Workflow development and execution incorporating advanced technologies
Proficiency with machine learning, AI, and TAR best practices
Proficiency in execution of standard TAR workflow
Superior understanding of eDiscovery best practices, including preservation, collection, culling, processing, review, and production protocols
Strong organizational and project management skills
Strong attention to detail and the big picture as appropriate on projects
Exceptional interpersonal, communication, and customer service skills
OTHER PREFERRED SKILLS
Ability to understand the perspective and anticipate the needs of lawyers
Ability to build rapport with lawyers, staff, clients, and vendors at all levels
Ability to work in a team setting and independently with minimal supervision
Ability to meet changing deadlines, work under pressure, and balance competing demands
Ability to anticipate and solve practical problems, dealing with a variety of variables where little standardization exists
Positive and energetic demeanor
DISCLAIMER The hiring firm is an equal employment opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, gender, national origin, age, sex, disability, veteran status, marital status, sexual orientation, gender identity or any other characteristic protected by law.
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Compétences linguistiques
- English
Avis aux utilisateurs
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