Legal · Doctoral degree
SALARY RANGE
$65,155
10th
$92,303
25th
$135,740
Median
$190,036
75th
$230,758
90th
Median hourly: $65.26/hr
Source: Bureau of Labor Statistics, 2024 OEWS (most recent release)
EMPLOYMENT OUTLOOK
Growth outlook: As fast as average
Projected change: +2.0% (+701 jobs)
Projection period: 2024-2034
Typical education: Doctoral degree
Source: Bureau of Labor Statistics, 2024-2034 Employment Projections
ORUNE'S AI ANALYSIS
Based on O*NET task data and published AI research
0
AI handles independently
6
AI assists (and growing)
2
Distinctly human
AI currently handles 0 of 8 tasks independently, assists with 6 more, and 2 remain distinctly human. The balance is shifting as AI capabilities grow.
RELATED ROLES
See how AI is changing this role in detail.
Check LawyersWhat is changing in this field
The most significant shift underway in the legal profession is the rapid integration of generative AI and machine learning into tasks that once defined junior associate and paralegal workflows, particularly research, first-draft contract language, and document review. This is prompting firms and in-house departments to reconsider staffing ratios and billing models, with some large firms publicly experimenting with flat-fee arrangements for AI-assisted work streams. At the same time, the skills that remain most distinctly human in legal practice, including courtroom advocacy, client counseling, negotiation strategy, and ethical judgment in ambiguous situations, appear relatively durable. Regulatory and malpractice frameworks are still catching up to these changes, and bar associations in multiple jurisdictions have issued guidance on competence obligations when using AI tools. The net effect is a profession in active transition, where technical fluency is becoming a competitive differentiator alongside traditional legal reasoning.
Adoption signals
AI-assisted legal research is entering mainstream practice
Tools like Westlaw AI and Lexis+ AI have moved from pilot programs into standard subscription tiers at large and mid-size firms, with survey data from the American Bar Association suggesting a meaningful share of attorneys now use some form of generative AI for research, drafting, or document review on at least a weekly basis.
Source: ABA Legal Technology Survey Report, 2023
E-discovery automation is reshaping litigation support workflows
Technology-assisted review (TAR) and predictive coding have become baseline expectations in complex commercial litigation, with courts in multiple federal districts explicitly addressing their use in case management orders. The volume of electronically stored information in large matters has made manual review economically impractical, accelerating adoption across plaintiff and defense practices.
Source: Sedona Conference Commentary on TAR, 2023 edition
Contract lifecycle management platforms are standardizing in-house legal teams
Corporate legal departments have broadly adopted CLM platforms to manage intake, drafting, negotiation, and compliance obligations at scale. Observers across the Association of Corporate Counsel membership note that familiarity with these tools is increasingly treated as a baseline competency rather than a differentiator for in-house roles.
Source: Association of Corporate Counsel Chief Legal Officer Survey, 2023
Alternative legal service providers continue expanding their market share
The market for ALSPs, which includes legal process outsourcing firms and tech-enabled staffing providers, has grown considerably over the past decade. Large law clients report routing increasing volumes of routine document review, due diligence, and compliance work to ALSP channels, which is reshaping where certain entry-level legal tasks are performed.
Source: Thomson Reuters Institute / Georgetown Law Center on Ethics ALSP Report, 2023
How this lands at different career stages
Early career (0-5 years)
Attorneys in their first few years of practice are entering a market where the traditional associate model is visibly under pressure from both AI-driven efficiency and ALSP competition for high-volume tasks. Building strong foundational skills in legal research, writing, and client communication remains essential, and professionals in this cohort who also develop comfort with AI-assisted drafting and e-discovery platforms tend to distinguish themselves more quickly. Many early-career attorneys find that boutique firms, public interest organizations, and in-house rotational programs offer hands-on exposure to a wider range of substantive matters than the largest firms, which is worth weighing alongside compensation differences. Bar passage rates and lateral mobility data suggest the entry path remains competitive, particularly in major metropolitan markets, so geographic flexibility is a pattern commonly seen among professionals who move into their preferred practice area within the first five years.
Mid career (5-15 years)
The mid-career window is historically the most consequential inflection point in a legal career, covering the associate-to-partner track decision, lateral moves into in-house roles, and specialization depth. Professionals at this stage are increasingly expected to demonstrate business development capability alongside legal competence, and many firms now explicitly weigh portable client relationships when evaluating partnership candidacy. This is also the cohort most directly navigating how to supervise AI-assisted work product, which carries its own professional responsibility obligations that courts and bar associations are still defining. Attorneys who have developed a recognized specialty in high-demand areas such as data privacy, healthcare regulatory, climate-related litigation, or cross-border transactions tend to report stronger leverage in both compensation negotiations and lateral opportunities.
Senior career (15+ years)
Senior attorneys and partners are operating in an environment where clients are applying more pricing pressure than at any point in recent memory, and where demonstrating value beyond billing hours has become a recurring theme in client relationship management. Equity partnership economics at many large firms have become more stratified, and professionals in this cohort frequently report that origination credit, practice group profitability, and administrative leadership carry as much weight as legal reputation in compensation outcomes. A growing number of senior attorneys are finding alternative paths through law school teaching, general counsel appointments, legal operations leadership, or launching boutique practices with a focused client base. The accumulated expertise and relationship capital that comes with 15 or more years of practice remains genuinely difficult to replicate, and that depth tends to be most visible in bet-the-company litigation, complex regulatory matters, and high-stakes transactional work where judgment and relationships are irreplaceable.
Demand trajectory
The BLS projects employment for lawyers to grow at a pace roughly in line with the average for all occupations through the early 2030s, driven by demand across corporate compliance, healthcare, intellectual property, and environmental regulatory work. Growth is not uniform across practice settings: public sector and legal aid roles remain constrained by budget cycles, while corporate and technology-sector legal work has shown stronger demand signals over the past several years. The expansion in overall legal services is partially offset by productivity gains from AI tools, which may reduce the attorney hours required for certain tasks without reducing the total volume of legal matters being handled. Historically, periods of regulatory complexity and economic activity tend to sustain demand for legal expertise, and current conditions in areas like data privacy legislation, antitrust enforcement, and energy transition regulation appear consistent with that pattern.
Generated module, reviewed for compliance.
Salary and employment data from the Bureau of Labor Statistics (2024 OEWS, 2024-2034 Employment Projections).
Task analysis based on O*NET occupational data and published AI research.
Learn more about our data sources