Attorney in Concord, NH

In-House

Concord, NH

Attorney in Concord, NH

Non-practicing Attorney

Min 5 yrs required

No

Job Title: Consultant, Advanced Technologies, Antitrust

Job Responsibilities:
The Consultant, Advanced Technologies, Antitrust at the company is responsible for assisting clients with their Antitrust compliance needs by utilizing advanced analytics, primarily machine learning and Artificial Intelligence (AI) leveraging Large Language Models (LLM). The role involves close collaboration with the Senior Director and the larger Antitrust practice group to provide advisory services on defensible workflows. The Consultant acts as a subject matter expert in applying machine learning and/or generative AI tools to datasets.

Key responsibilities include:
- Serving as a subject matter expert on the use of predictive coding (TAR and ) for compliance with regulatory requests, investigations, and litigation.
- Independently navigating challenges and roadblocks with creative problem-solving while collaborating within the larger Antitrust Practice Group team.
- Consulting with external stakeholders to determine appropriate analytics tools, workflows, and required deliverables.
- Creating models in **Members Only** AI Discovery Assistant (EAIDA), Reveal AI, Brainspace, and Relativity Active Learning, and advising on use-case scenarios.
- Developing prompts and instructions for AI tools (chat and classification).
- Articulating statistical measurements and considerations to clients with varying levels of technical proficiency, both in written and oral communication.
- Staying updated on changes in the regulatory environment that impact compliance.
- Demonstrating an understanding of the eDiscovery lifecycle and identifying headwinds for AI processes and critical paths for review and production.
- Drafting recommended protocols and responding to regulatory specification requests.
- Documenting and transferring applicable knowledge to Managed Review and Client Services teams to aid in efficient technology-assisted review workflows.
- Maintaining subject matter expertise through continued education and certifications in the analytics platforms deployed by the company.
- Mentoring colleagues and serving as an internal subject matter expert to broaden the company’s analytics knowledge.
- Pursuing opportunities for thought leadership through speaking roles and authorship.
- Occasionally supporting business development activities through demonstrations, training, and client presentations or meeting attendance.

Education and Experience Information:
- Bachelor’s degree required, with a preference for advanced degrees such as JD or MBA.
- Second Request (DOJ or FTC) experience is strongly preferred.
- Minimum of 5 years of client-facing experience in an eDiscovery capacity.
- Proficiency in Relativity (Server or RelativityOne) and the administration of document review databases is preferred, with certification being advantageous.
- Experience with Technology Assisted Review utilizing machine learning and/or GenAI tools for eDiscovery is required.
- Experience crafting prompts for LLMs (CoPilot, Claude, Gemini, Harvey, et al.) is necessary.
- Familiarity with Relativity Active Learning, Reveal AI, and/or Brainspace used to reduce data volumes and organize data for review is preferred, with certification being advantageous.
- Proficiency with Microsoft O365 is required.
- Experience with Power BI, Python, and SQL is preferred.
- Strong skill in synthesizing complex solutions into cogent explanations is needed.
- Exceptional verbal and written communication skills are essential.
- Excellent issue-spotting and problem-solving abilities are required.
- A willingness to exceed client expectations is vital.

Salary Information:
The compensation range for this role is 125, to 160, USD annually, and it may be eligible for an annual bonus. The specific salary will be determined based on several factors, including the location-based market rate for the role, the candidate's abilities in relation to the job specification, performance during screening and interview, and pay parity with the wider team in the considered location. Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.