The US Legal Services Market is Segmented by End User (Legal-Aid Consumers, Private Consumers, and More), by Application (Corporate, Financial and Commercial Law, and More), by Service (Representation, Advisory and Consulting, and More), by Mode of Delivery (Traditional In-Person, Hybrid, and More), and by Firm Size (Large Law Firms, and SME Law Firms). The Market Forecasts are Provided in Terms of Value (USD).

UniCourt provides legal data on law firms that’s been normalized by our AI and enriched with other public data sets to connect real-world law firms to their attorneys and clients, judges they’ve faced and types of litigation they’ve handled across practice areas and state and federal (PACER) courts.

AI Normalized Law Firms

• UniCourt’s AI locates and gathers variations of law firm names and spelling errors contained in court data and combines them with bar data, business data, and judge data to connect real-world law firms to their litigation. • Avoid bad data caused by frequent law firm name changes due to firm mergers, named partners leaving, and firms dissolving, leading to lost business and bad analytics. • UniCourt’s unique normalized IDs for law firms let you quickly search for and download all of the litigation involving the specific firms you’re interested in. • Uncover the associations and relationships between law firms, their lawyers, their clients, judges, and their top practice areas across different jurisdictions.

Using APIs to Dig Deeper

• See a full list of all of the businesses and individuals a law firm has represented as clients in litigation. • Easily vet the bench strength of law firms by looking at the volume and specific types of cases their lawyers have handled. • Drill down into a law firm’s experience to confirm which judges they’ve appeared before in court. • Identify which law firms and lawyers a particular firm has faced as opposing counsel, and the judgments they obtained.

Bulk Access to Law Firm Data

• UniCourt’s Law Firm Data API provides you with structured, cleaned, and organized legal data that you can easily connect to your case management systems, CRM, and other internal applications. • Get bulk access to law firm Secretary of State registration data and the names, emails, phone numbers, and physical addresses for all of a firm’s lawyers. • Use our APIs to create tailored legal marketing campaigns for law firms and their attorneys with the exact practice area expertise and the right geographic coverage you want to target. • Power your case research, business intelligence, and analytics with bulk access to litigation data for all the court cases a firm has handled and set up automated data feeds to find new cases they’re involved in.

The national evaluation of the Legal Assistance for Victims (LAV) program had three main objectives: (1) to document the range of local activities and programs supported by the Fiscal Year 1998 to Fiscal Year 2000 LAV grants, (2) to conduct a process evaluation by examining and documenting LAV grantee planning and implementation efforts, and (3) to evaluate the effectiveness of LAV programs in meeting the needs of the victims they serve. A mixed method approach was developed to conduct the evaluation. The researchers used a classic triangulation framework of quantitative agency data, telephone survey interviews, mail surveys, interviews and focus groups with service providers, and case studies. The evaluation of effectiveness included (1) before-after analysis of caseload data on 88,901 clients and (2) interviews with 124 LAV clients. The range of local activities and programs was documented primarily through two mail surveys of grantees. For Part 1 (2001 Mail Survey), data include information regarding project staffing, partnerships, legal and advocacy services provided, and implementation challenges. It was completed by 156 grantees. Part 2 (2003 Mail Survey) was administered to the 2001 survey respondents who had also received continuation grants in 2001 or 2002. It was completed by 79 grantees. This survey sought information on successful practices for achieving key project objectives. It also attempted to quantify the number and types of legal services provided and gain more quantitative information on unmet needs. Part 3 (Legal Assistance for Victims Data) contains caseload data including demographics related to clients such as gender, ethnicity, and income. It also contains information regarding the case including type of case, hours worked on the case, and results of the case. There are also data related to the agency such as jurisdiction of the agency and type of agency. For Part 4 (Victims Interviews), data include demographic information, history and background of the case, legal services received, satisfaction with legal services, impact of legal services, and the victim's current situation.

Success.ai’s Legal Parties Data provides comprehensive access to verified profiles of legal professionals worldwide. Sourced from over 700 million LinkedIn profiles, this dataset includes actionable insights and contact details for lawyers, in-house counsel, legal advisors, and other professionals in the legal sector. Whether your goal is to promote legal services, recruit top legal talent, or analyze trends in the legal industry, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Legal Parties Data? Comprehensive Professional Profiles

Access verified LinkedIn profiles of attorneys, paralegals, compliance officers, corporate counsel, and law firm partners. AI-driven validation ensures 99% accuracy, reducing bounce rates and enabling effective communication. Global Coverage Across Legal Sectors

Includes professionals from corporate law, litigation, intellectual property, compliance, contract law, and legal consulting. Covers major markets across North America, Europe, APAC, and emerging legal hubs globally. Continuously Updated Dataset

Reflects real-time changes in roles, organizational affiliations, and professional achievements to keep your targeting relevant and impactful. Tailored for Legal Insights

Enriched profiles include work histories, areas of specialization, firm affiliations, and professional certifications for deeper engagement opportunities. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a global network of legal professionals in all major practice areas. 100M+ Work Emails: Communicate directly with lawyers, corporate counsel, and legal advisors. Enriched Professional Histories: Gain insights into career trajectories, case specializations, and law firm affiliations. Industry-Specific Segmentation: Target legal professionals in corporate law, litigation, IP law, and more with precision filters. Key Features of the Dataset: Legal Professional Profiles

Identify and connect with legal advisors, corporate counsel, compliance officers, and law firm executives. Engage with professionals influencing corporate decisions, legal compliance, and contract negotiations. Detailed Organizational Insights

Leverage data on firm sizes, practice areas, client industries, and geographic reach. Align outreach with the specific legal expertise and client focus of target professionals. Advanced Filters for Precision Targeting

Refine searches by region, practice area, role, or years of experience for tailored outreach. Customize campaigns to address specific needs like compliance solutions, legal tech tools, or advisory services. AI-Driven Enrichment

Enhanced datasets deliver actionable insights for personalized campaigns, highlighting notable cases, certifications, and career milestones. Strategic Use Cases: Marketing Legal Services

Promote compliance software, contract management tools, or legal advisory services to attorneys and corporate counsel. Engage with professionals responsible for legal operations and corporate governance. Recruitment and Talent Acquisition

Target HR professionals and law firm recruiters seeking attorneys, paralegals, or compliance officers. Simplify hiring for specialized legal roles and law firm expansion efforts. Collaboration and Partnerships

Identify firms and legal professionals for collaborations on compliance programs, regulatory updates, or client representation. Build partnerships with firms specializing in intellectual property, corporate governance, or international law. Market Research and Strategy Development

Analyze trends in legal services, compliance requirements, and litigation to inform strategic decisions. Use insights to adapt offerings to evolving legal needs and market opportunities. Why Choose Success.ai? Best Price Guarantee

Access industry-leading Legal Parties Data at unmatched pricing to ensure cost-effective campaigns and outreach strategies. Seamless Integration

Easily integrate verified legal data into CRMs, marketing platforms, or recruitment systems using APIs or downloadable formats. AI-Validated Accuracy

Depend on 99% accurate data to minimize wasted efforts and maximize engagement with legal professionals. Customizable Solutions

Tailor datasets to focus on specific legal fields, geographic regions, or practice areas to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

Enhance existing records with verified legal professional profiles for better audience targeting and engagement. Lead Generation API

Automate lead generation for a consistent pipeline of qualified legal professionals, scaling your outreach efficiently. Success.ai’s Legal Parties Data empowers you to connect with professionals shaping the legal industry worldwide. With verified contact details, enriched professional profiles, and global reach, your marketing, recruitment, and c...

The Public Libraries Survey (PLS) provides statistics on the status of public libraries in the United States. It is a voluntary survey conducted annually by the Institute of Museum and Library Services (IMLS). The Fiscal Year (FY) 2013 survey is the 25th in the series. The data files include all public libraries identified by state library administrative agencies in the 50 States, the District of Columbia, and the outlying areas of American Samoa, Guam, the Northern Mariana Islands, Puerto Rico and the U.S. Virgin Islands. The reporting unit for the survey is the administrative entity, defined as the agency that is legally established under local or state law to provide public library service to the population of a local jurisdiction. For Fiscal Year 2013, IMLS collected the following information via a web-based survey for the PLS: Library Data - Data on each public library, such as its name and address, population of legal service area, service outlets, collections, full-time-equivalent staff, and operating revenue and expenditures State characteristics data, including the reporting period starting and ending dates, the state total population estimate, and the total unduplicated population of legal service areas for the state. These data are contained in dataset 1 and include 9,309 records; 9,290 were public libraries and 19 were administrative entities that closed in or temporarily closed for FY 2012. State Data - Each state library agency reported these data on the "State Characteristics" record because they are not library-level data. These data are in dataset 2 and include 56 records, one for each state and outlying area. Outlet Data - Data on each public library service outlet, such as its name and address, type, county location, metropolitan status, square footage, public service hours per year, and number of weeks a library outlet is open. These data are in dataset 3 and include 17,554 total records, 17,463 are public library service outlets (central, branch, bookmobile, and books-by-mail-only outlets). The remaining 91 records are outlets that closed or temporarily closed for FY 2012. This data collection is useful to researchers, journalists, the public, and policymakers at the federal, state, and local levels. These data are used by federal, state and local officials, professional associations, and local practitioners for planning, evaluation, and policy making.

Graph and download economic data for Gross Domestic Product: Legal Services (5411) in the United States (USLEGALNGSP) from 1997 to 2024 about legal, science, professional, GSP, private industries, business, services, private, industry, GDP, and USA.

Law Enforcement Locations Any location where sworn officers of a law enforcement agency are regularly based or stationed. Law Enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Law Enforcement Management and Administrative Statistics (LEMAS) survey. Although LEMAS only includes non Federal Agencies, this dataset includes locations for federal, state, local, and special jurisdiction law enforcement agencies. Law enforcement agencies include, but are not limited to, municipal police, county sheriffs, state police, school police, park police, railroad police, federal law enforcement agencies, departments within non law enforcement federal agencies charged with law enforcement (e.g., US Postal Inspectors), and cross jurisdictional authorities (e.g., Port Authority Police). In general, the requirements and training for becoming a sworn law enforcement officer are set by each state. Law Enforcement agencies themselves are not chartered or licensed by their state. County, city, and other government authorities within each state are usually empowered by their state law to setup or disband Law Enforcement agencies. Generally, sworn Law Enforcement officers must report which agency they are employed by to the state. Although TGS's intention is to only include locations associated with agencies that meet the above definition, TGS has discovered a few locations that are associated with agencies that are not publicly funded. TGS deleted these locations as we became aware of them, but some may still exist in this dataset. Personal homes, administrative offices, and temporary locations are intended to be excluded from this dataset; however, some personal homes are included due to the fact that the New Mexico Mounted Police work out of their homes. TGS has made a concerted effort to include all local police; county sheriffs; state police and/or highway patrol; Bureau of Indian Affairs; Bureau of Land Management; Bureau of Reclamation; U.S. Park Police; Bureau of Alcohol, Tobacco, Firearms, and Explosives; U.S. Marshals Service; U.S. Fish and Wildlife Service; National Park Service; U.S. Immigration and Customs Enforcement; and U.S. Customs and Border Protection. This dataset is comprised completely of license free data. FBI entities are intended to be excluded from this dataset, but a few may be included. The Law Enforcement dataset and the Correctional Institutions dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. With the merge of the Law Enforcement and the Correctional Institutions datasets, the NAICS Codes & Descriptions were assigned based on the facility's main function which was determined by the entity's name, facility type, web research, and state supplied data. In instances where the entity's primary function is both law enforcement and corrections, the NAICS Codes and Descriptions are assigned based on the dataset in which the record is located (i.e., a facility that serves as both a Sheriff's Office and as a jail is designated as [NAICSDESCR]="SHERIFFS' OFFICES (EXCEPT COURT FUNCTIONS ONLY)" in the Law Enforcement layer and as [NAICSDESCR]="JAILS (EXCEPT PRIVATE OPERATION OF)" in the Correctional Institutions layer). Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard fields that TGS populated. Double spaces were replaced by single spaces in these same fields. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on the values in this field, the oldest record dates from 08/14/2006 and the newest record dates from 10/23/2009

Graph and download economic data for All Employees, Legal Services (CES6054110001) from Jan 1990 to Sep 2025 about legal, professional, establishment survey, business, services, employment, and USA.

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Other Professional and Technical Services, Except Legal Services: Current Portion of Long-Term Debt, Due in 1 Year or Less: Loans from Banks (QFR310549USNO) from Q4 2009 to Q2 2025 about less than 1 year, legal, fees, 1-year, professional, long-term, finance, debt, corporate, loans, banks, services, depository institutions, industry, and USA.