Senior Manager improving historical legal matter data and AI-enabled pricing at Dentons, a global law firm. Building benchmarks, workflows and governance for pricing and matter analytics.
Responsibilities
Assess the quality, completeness and consistency of historical matter data across relevant firm systems
Identify gaps and inconsistencies limiting comparable-matter analysis and reliable pricing benchmarks
Clean, normalize and enrich historical matter data
Establish consistent matter classifications, attributes and taxonomies
Determine which matter characteristics are most important for pricing and analysis
Identify and resolve duplicate, incomplete, anomalous or incorrectly classified data
Use generative AI, machine learning and automation to accelerate matter-data classification and enrichment
Extract structured information from unstructured matter descriptions and other sources using AI-enabled techniques
Develop repeatable workflows for matter categorization, data enrichment and quality assurance
Design human-validation processes for AI-generated classifications and outputs
Evaluate AI tools based on accuracy, scalability, security and business value
Document methodologies, prompts, rules and validation processes
Translate pricing requirements into usable data structures with Pricing & Legal Project Management
Improve identification of relevant historical matters for new-engagement pricing
Support matter benchmarks covering fees, hours, staffing, leverage and other pricing metrics
Establish datasets for pricing models, budgeting tools and matter profitability analytics
Identify historical patterns related to matter cost, staffing and delivery
Support a foundation for AI-assisted matter scoping and pricing
Recommend standards for future matter-data capture
Develop controls and validation rules to reduce future data-quality issues
Document data definitions, taxonomies and transformation logic
Align solutions with Finance, Technology, Innovation and broader data-governance requirements
Develop a transition plan to sustain processes after the contract concludes
Requirements
5+ years of experience in data analytics, data management, legal operations, financial analytics, pricing, business intelligence or a related field
Demonstrated experience cleaning, transforming and working with complex enterprise datasets
Strong practical experience using AI, generative AI or machine-learning tools to solve business problems
Experience developing repeatable AI-enabled workflows rather than relying exclusively on manual data remediation
Strong proficiency with data-analysis tools such as SQL, Python, Power BI, Alteryx or similar technologies
Experience with APIs, data transformation tools or automation platforms is an asset
Strong analytical and problem-solving capabilities
Ability to translate business requirements into structured data and analytical solutions
Excellent attention to detail and strong understanding of data validation and quality assurance
Strong communication skills and ability to work effectively with technical and non-technical stakeholders
Experience within a law firm, professional services organization or other matter/project-based business is a significant asset
Experience with legal financial, time-entry, billing or matter-management data is a significant asset
CPA, CFA, MBA, or equivalent professional designation preferred
Working knowledge of French considered an asset
Familiarity with legal project management methodologies preferred
Prior client-facing experience with corporate procurement, legal operations, or in-house counsel teams preferred
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