Washington DC

Bracewell•Houston, TX

12d

About The Position

The Pricing Manager leads the firm’s AI-enabled pricing strategy, translating technology-driven efficiencies into profitable, competitive, client-centered fee models. The role develops pricing proposals, matter budgets, fee estimates, and alternative fee arrangements using historical matter data, market intelligence, and AI-assisted scenario modeling. It assesses how generative AI and automation affect staffing, leverage, delivery time, cost, and margin, and incorporates those impacts into pricing recommendations. Working with attorneys and teams across Finance, Business Development, Legal Project Management, Innovation, and Technology, the Pricing Manager designs scalable pricing solutions for AI-enabled legal services. The role advises attorneys and firm leaders on value-based, fixed-fee, capped-fee, subscription, portfolio, and hybrid pricing structures; supports client and rate negotiations; and leads the pricing and financial components of RFPs, competitive bids, and client proposals. It also serves as an SME on Foundation Scoping and Foundation, stays informed about market developments and legal surveys, and applies predictive analytics and matter intelligence to benchmark fees and forecast outcomes. The Pricing Manager monitors matter budgets, work in progress, realization, collections, scope changes, and profitability, using automated alerts to identify risks and recommend corrective action. The role measures the financial impact of AI adoption, including productivity gains, technology costs, margin effects, client savings, and return on investment. In coordination with firm governance teams, it establishes standards for data quality, validation, confidentiality, and human review in AI-supported pricing analyses. It also maintains and improves pricing platforms, matter-budgeting tools, templates, dashboards, and knowledge resources.

Requirements

Bachelor’s degree in a business-related field required.
Five to seven years of legal pricing experience required.
Able to draft client-facing language clearly and concisely.
Able to summarize complex quantitative concepts orally and in writing for internal and external stakeholders.
Proficient in Microsoft Office Suite, particularly Excel, Word, Outlook, and PowerPoint.
Proficient in financial modeling and spreadsheet functionality.
Able to manipulate data effectively and present findings to lawyers and firm management.
Able to proactively manage and prioritize multiple simultaneous projects and complete work within given time constraints.
Detail-oriented, with sound judgment, confidence, and interpersonal skills to communicate effectively with senior management, attorneys, and staff.
Self-motivated, with a positive, professional attitude and a progressive, consistent work history.

Responsibilities

Lead the firm’s AI-enabled pricing strategy and translate technology-driven efficiencies into profitable, competitive, client-centered fee models.
Develop pricing proposals, matter budgets, fee estimates, and alternative fee arrangements using historical matter data, market intelligence, and AI-assisted scenario modeling.
Assess how generative AI and automation affect staffing, leverage, delivery time, cost, and margin, and incorporate those effects into pricing recommendations.
Partner with attorneys, Finance, Business Development, Legal Project Management, Innovation, and Technology teams to design scalable pricing solutions for AI-enabled legal services.
Advise attorneys and firm leaders on value-based, fixed-fee, capped-fee, subscription, portfolio, and hybrid pricing structures.
Support client and rate negotiations by explaining the value, assumptions, risks, and financial implications of AI-enabled delivery models.
Lead the financial and pricing components of RFPs, competitive bids, and client proposals, including AI-related efficiency commitments and transparency requirements.
Serve as an SME on Foundation Scoping and Foundation for pricing inquiries.
Maintain ongoing communication with the Business Development team to obtain market updates.
Review legal surveys and financial results to inform pricing guidance.
Use predictive analytics and matter intelligence to benchmark fees, forecast outcomes, identify comparable matters, and recommend pricing structures.
Monitor matter budgets, work in progress, realization, collections, scope changes, and profitability; use automated alerts to identify risks and recommend corrective action.
Measure the financial impact of AI adoption, including productivity gains, technology costs, margin effects, client savings, and return on investment.
Establish data-quality, validation, confidentiality, and human-review standards for AI-supported pricing analyses and recommendations in coordination with firm governance teams.
Maintain and improve pricing platforms, matter-budgeting tools, templates, dashboards, and knowledge resources to promote consistent, data-informed decisions.