Knowledge Management Analyst

Finnegan•Washington, DC

22h•$110,000 - $120,000

About The Position

Finnegan is more than just a law firm – we are a powerhouse of innovation and strategy growth. We pride ourselves on providing top-tier intellectual property services globally. Our success is rooted in our emphasis on relationships with our clients and each other. We care about every individual, and it is why many professionals have spent their entire careers at Finnegan.Role Overview The Knowledge Management Analyst will support the implementation of knowledge management across the firm. This position will provide the ability to design processes to aid in the efficient practice of law and strategic decision-making to drive innovation, analytics, and data sharing. The analyst will lead, direct, and review technical activities associated with delivering and managing knowledge systems and tools, including knowledge repositories, the firm intranet, and other new tools as needed.

Requirements

Bachelor’s degree required, preferably in Computer Science, Management Information Systems, or related field.
Strong understanding of knowledge management principles and processes.
At least two (2) years of relevant experience.
Proficient with SharePoint and Office 365.
Exceptional written and verbal communication skills, paired with the confidence to share and advocate for ideas in a collaborative environment.
A strategic mindset driven by the desire to exceed boundaries and meet deadlines.
Ability to work in a fast-paced environment with demonstrated ability to coordinate multiple projects/initiatives simultaneously while meeting deadlines and business objectives.
Strong customer service acumen.
Ability to interact with individuals at all levels of the organization and clients.
Flexibility to work overtime, as needed.

Nice To Haves

Proficiency in web service development a plus.
Familiarity with machine learning algorithms and statistical methods for complex data analysis.
Familiarity with large language models, agentic AI workflows, and legal AI platforms (e.g., Microsoft Copilot, CoCounsel, Legora, Claude) is a plus.
Familiarity with the principles and practices of data mining and data warehousing.
A keen interest in technological trends, particularly in the realm of legal tech.

Responsibilities

Develop and implement automation, document systems, and strategies for knowledge management, ensuring they are aligned with the firm's objectives and with guidance from the firm’s AI Committee and Technology Committee.
Leverage data analytics methodologies, such as regression, clustering, decision trees, exploratory data analysis, simulation, scenario analysis, modeling, and neural networks to mine, analyze, and interpret data.
Design and deliver training programs to foster knowledge sharing across practice groups, including onboarding sessions, workshops, and user guides for knowledge management tools and systems.
Compile and analyze documents and data points from the firm’s practice areas to help shape the firm’s knowledge management strategy.
Evaluate, recommend, and partake in trials of innovative KM and research tools based on firm needs.
Foster a firm-wide culture of knowledge sharing by promoting internal and external knowledge resources and technologies.
Create documentation including business requirements, user stories, acceptance criteria, feature descriptions, user guides, process flows, wireframes, and presentations.
Maintain relationships and work with vendors, both internal teams and external providers, and develop knowledge to support vendor systems.
Provide moderate technical expertise, oversight and control in communications, time management, quality assurance, quality control and management, process development and risk management.
Evaluate, recommend, and partake in trials of innovative technology tools based on firm needs.
Foster a firm-wide culture of knowledge sharing by promoting internal and external knowledge resources and technologies.
Suggest feedback regarding system and workflow improvements and developments.
Provide back-end global support and maintenance for all relevant applications, including escalating complex system issues to vendors to ensure timely resolutions.
Maintain relationships and work with vendors, both internal teams and external providers, and develop knowledge to support vendor systems.