For the lawyers and other legal professionals who use Westlaw and LexisNexis every day, these platforms are familiar tools of the trade \u2013 essential systems for finding case law, checking citations and getting practical guidance. But behind those familiar research services is a less-familiar story. The same two corporate parents that dominate legal research have, [\u2026]<\/p>\n
For the lawyers and other legal professionals who use Westlaw and LexisNexis every day, these platforms are familiar tools of the trade \u2013 essential systems for finding case law, checking citations and getting practical guidance.<\/p>\n
But behind those familiar research services is a less-familiar story. The same two corporate parents that dominate legal research have, since the early 2000s, built a parallel business selling vast quantities of personal data to U.S. Immigration and Customs Enforcement, enabling what civil liberties advocates have described as the most extensive domestic surveillance system in American history.<\/p>\n
Between 2003 and 2021, the Department of Homeland Security awarded contracts worth more than $161 million to Thomson Reuters-related entities<\/a> and, from 2005-2024, more than $172 million to RELX subsidiaries<\/a>, according to estimates compiled by the American Friends Service Committee\u2019s Investigate project.<\/p>\n Three flagship contracts alone \u2013 two held by Thomson Reuters, one by LexisNexis \u2013 have funneled roughly $51.6 million into surveillance tools that aggregate billions of data points on large portions of the U.S. population, mostly without their knowledge or consent.<\/p>\n Now, as ICE\u2019s enforcement tactics have come under increasing public scrutiny and criticism, many in the legal profession are wanting to learn more about how ICE has been supported by tools provided by two of the profession\u2019s most essential technology vendors.<\/p>\n These questions are made even more immediate by the fact that Thomson Reuters\u2019 $22.8 million ICE contract is set to expire on May 31, 2026, and many \u2013 including many of its own employees \u2013 are wondering whether that contract will be renewed.<\/p>\n Against that backdrop, I decided to dive in and learn more about the ties between these two companies and ICE. This is the first of a two-part report examining the intersection of legal technology, mass surveillance and immigration enforcement. The second will appear tomorrow.<\/p>\n Part One explores the contracts themselves, the technology they fund, and some of the questions they raise. Part Two will examine the growing opposition \u2013 from employees, shareholders, journalists, and legal ethicists \u2013 and what it means for the legal profession.<\/p>\n In writing this report, I have relied heavily on the shoe leather of others who have investigated and written about the ICE contracts. I cite to them liberally throughout these two posts.\u00a0<\/strong><\/p>\n The two flagship products at the center of this story are CLEAR, provided by Thomson Reuters, and Accurint, provided by LexisNexis Risk Solutions. Both are investigative platforms sold primarily to law enforcement, but their capabilities extend beyond traditional criminal databases.<\/p>\n CLEAR (Consolidated Lead Evaluation and Reporting) aggregates billions of data points from public and non-public sources, including driver\u2019s license records, vehicle registrations, credit data, phone records, real estate transactions, criminal and court records, social media activity, healthcare provider information, and location-related data derived from sources such as automated license plate readers.<\/p>\n McKenzie Funk, writing in The New York Times Magazine<\/em> in 2019<\/a>, described CLEAR as offering \u201can ever-evolving, 360-degree view of U.S. residents\u2019 lives.\u201d<\/p>\n When I asked Thomson Reuters about its CLEAR product and how it is used by customers, particularly ICE, it provided the following statement:<\/p>\n \u201cWe continue to work with our customers, providing technology and services that support investigations into areas of national security and public safety, such as child exploitation, human trafficking, narcotics and weapons trafficking and financial crime. We remain committed to this mission while maintaining strong safeguards that ensure our products and services are used in accordance with our contractual terms and applicable law. We do not comment on specific customer contracts.\u201d<\/em><\/p>\n<\/blockquote>\n Accurint, the LexisNexis equivalent, aggregates similar categories of data, though its specific sources differ. According to Borderless<\/a>, the LexisNexis platform maintains records on more than 276 million U.S. residents and, through a 2021 contract expansion, added real-time jail booking data via its Appriss Insights subsidiary. As of 2021, reporting has indicated that more than 11,000 ICE personnel had access to the LexisNexis platform.<\/p>\n The scope of data available through these systems is far reaching. Per the contract statement of work obtained through records requests and reported by Maurizio Guerrero for In These Times<\/em><\/a>, CLEAR provides ICE with information that identifies possible locations of targets and tracks changes in identifying information, from addresses and phone numbers to email addresses, Social Security numbers, utility records, arrests, employment history, insurance activity, and affiliations with organizations.<\/p>\n In addition to providing data, contractor personnel associated with Thomson Reuters have, at times, worked in close coordination with ICE personnel, including providing support related to data access and analysis, according to government documents<\/a> and advocacy reports<\/a>.<\/p>\n To understand the current controversy, it helps to understand the specific contractual relationships at issue, as detailed in government spending records, FOIA disclosures, and reporting by outlets including In These Times<\/em>, The Baron<\/em><\/a> (a publication devoted to covering Thomson Reuters), the ABA Journal<\/em><\/a>, and others.<\/p>\n Thomson Reuters LEIDS-5 ($22.8 million, 2021\u20132026).<\/strong> In December 2020, ICE issued a solicitation<\/a> for its fifth-generation Law Enforcement Investigative Database Subscription, or LEIDS-5. The contract was awarded to Thomson Reuters\u2019 Special Services LLC<\/a>, a TR subsidiary, in May 2021, providing ICE\u2019s Enforcement and Removal Operations (ERO) and Homeland Security Investigations (HSI) divisions with access to CLEAR. By 2025, ICE was explicitly using the subscription to access license plate reader data for \u201cpotential arrest, seizure and forfeiture.\u201d<\/a> This contract is set to expire on May 31, 2026, and, as Kashmir Hill recently reported in The New York Times<\/em><\/a>, its renewal is now the subject of intense internal and external pressure.<\/p>\n When I asked Thomson Reuters whether it intends to renew, it replied: \u201cWe do not comment on customer contracts.\u201d\u00a0<\/strong><\/p>\n Thomson Reuters Jail Alert Service ($6.7 million, 2018\u20132023).<\/strong> Awarded to Thomson Reuters Special Services, this contract provided ICE\u2019s Detention Compliance and Removals office with a continuous monitoring and alert service for real-time jail booking data. According to Privacy International<\/a>, which publicly challenged the contract in June 2018, the system was designed to track 500,000 identities per month, scanning for FBI numbers, state IDs, credit history, insurance data, wire transfers, employment records and individual taxpayer identification numbers (ITINs).<\/p>\n The contract expired around 2023 and was not renewed \u2013 but its capabilities were effectively transferred to LexisNexis, which had expanded its own ICE contract in 2021 to include jail booking data through its Appriss Insights subsidiary.<\/p>\n LexisNexis LEIDS ($22.1 million, 2021\u20132026).<\/strong> Awarded to LexisNexis Risk Solutions<\/a>, this contract gave ICE access to the Accurint platform and, following a June 2021 expansion, to Appriss Insights\u2019 Justice Intelligence module for real-time incarceration data. The contract reached the end of its five-year base period in February 2026 and is marked as \u201ccompleted\u201d<\/a> on USASpending.gov. While DHS has historically exercised option years on similar contracts, no successor award has been publicly confirmed as of this writing.<\/p>\n Asked by me whether it has entered into a successor contract or intends to, LexisNexis did not directly answer.<\/p>\n Combined, these three contracts represent approximately $51.6 million \u2013 which is itself only a fraction of a broader data-broker ecosystem that has channeled over $333 million from DHS to Thomson Reuters and LexisNexis since 2003.<\/p>\n Some constitutional scholars and civil liberties organizations see the legal architecture that enables these contracts as a loophole in Fourth Amendment protections<\/a>.<\/p>\n The Fourth Amendment prohibits unreasonable government searches. Traditionally, if law enforcement wanted access to a person\u2019s phone records, financial transactions or location history, it would need a warrant or subpoena.<\/p>\n But by purchasing commercial database subscriptions from private data brokers, federal agencies such as ICE can access much of the same information, and even more, without judicial authorization.<\/p>\n This framework rests on what legal scholars call the \u201cthird-party doctrine,\u201d a principle holding that individuals have no reasonable expectation of privacy in data they voluntarily share with third parties such as banks, phone companies or social media platforms.<\/p>\n While the Supreme Court has begun to narrow this doctrine \u2013 most notably in the 2018 Carpenter v. United States<\/em> decision, which held that accessing historical cell-site location data constitutes a search requiring a warrant \u2013 courts have not definitively ruled<\/a> that the wholesale purchase of commercial data access constitutes a \u201csearch\u201d under the Fourth Amendment.<\/p>\n ICE has explicitly acknowledged this, stating in contracting documents<\/a> that it works with LexisNexis in part because of \u201can increase in the number of law enforcement agencies and state or local governments that do not share information about real-time incarceration of foreign-born nationals with ICE.\u201d<\/p>\n In other words, even when sanctuary cities and states refuse to cooperate with ICE, the agency can turn to private data brokers to obtain much of the same information.<\/p>\n In Cook County, Ill., officials discovered that data their agencies had provided to LexisNexis for credit-check purposes was later made available to ICE through LexisNexis data products \u2013 directly undermining the county\u2019s own ICE detainer ordinance, according to reporting cited in the AFSC\u2019s investigation<\/a> of RELX.<\/p>\n No comprehensive federal data broker regulation exists. Companies such as Thomson Reuters and LexisNexis operate under a patchwork of sector-specific laws \u2013 the Fair Credit Reporting Act, the Driver\u2019s Privacy Protection Act, HIPAA \u2013 that leave significant gaps<\/a>, particularly when it comes to reselling aggregated data to law enforcement.<\/p>\n In recent years, both companies have layered artificial intelligence capabilities on top of their surveillance platforms, raising new concerns about the scope and scale of automated decision-making.<\/p>\n Thomson Reuters has integrated generative AI features into CLEAR, including a tool called Risk Analysis Summary (RAS), which combines AI with traditional data aggregation to produce automated profiles of individuals and organizations.<\/p>\n According to the BCGEU\u2019s 2025 investor brief<\/a> \u2013 a document prepared by the British Columbia General Employees\u2019 Union for Thomson Reuters shareholders \u2013 this layering of AI over already sensitive personal data \u201craises serious concerns about accuracy, bias, and risk mitigation.\u201d<\/p>\n A person familiar with Thomson Reuters\u2019 product development described RAS to me differently \u2013 not as a law enforcement targeting tool but as a business due diligence tool that provides AI-generated summaries of existing business risk profiles in areas such as vendor procurement or supply chain analysis.<\/p>\n According to this person, the underlying reporting functionality was already available within CLEAR; the AI feature simply serves as an agent that automates the summarization of existing results.<\/p>\n Civil liberties advocates counter that, regardless of its intended design, any AI-generated risk profiling tool integrated into a platform available to more than 11,000 ICE agents can be repurposed for immigration enforcement.<\/p>\n The BCGEU brief, authored by Emma Pullman<\/a>, head of shareholder engagement and responsible investment at BDGEU, notes that Thomson Reuters has described its AI investments as \u201cmuch bigger than a few new product launches,\u201d aiming to develop \u201ctruly transformative products.\u201d<\/p>\n But civil liberties advocates warn that automated risk-scoring tools could be used to flag individuals based on routine activities \u2013 name changes, address updates, new employment \u2013 without any human review, potentially reaching millions of people.<\/p>\n The concern is not merely theoretical. As In These Times<\/em> has reported<\/a>, CLEAR\u2019s AI capabilities can automatically generate alerts and risk profiles that ICE agents use to prioritize targets.<\/p>\n Combined with the platform\u2019s access to license plate reader data, social media monitoring, and real-time incarceration information, the system approaches what some DHS materials have described as \u201cpredictive\u201d immigration enforcement.<\/p>\n The surveillance infrastructure does not operate in isolation. Government contracting documents and reporting by Oakland Privacy, The New York Times<\/em>, and the national research project American Dragnet have documented how Thomson Reuters\u2019 CLEAR integrates with Palantir\u2019s analytical platform in a system-to-system configuration.<\/p>\n Under an earlier Thomson Reuters contract with ICE\u2019s Homeland Security Investigations division, CLEAR data was fed directly into Palantir\u2019s controversial automated analysis system, which determined whom to target for investigation, as reported by Sarah Lamdan<\/a>, then a professor at CUNY School of Law and now executive director of the Office for Intellectual Freedom at the American Library Association, in her 2019 article for the NYU Review of Law and Social Change<\/em>, \u201cWhen Westlaw Fuels ICE Surveillance: Legal Ethics in the Era of Big Data Policing.\u201d<\/a><\/p>\n Lamdan, drawing on government contract documents, described how Thomson Reuters would provide the data and Palantir would conduct real-time analysis to identify targets for potential arrest.<\/p>\n \u201cThe contract specifies that Thomson Reuters will provide the data and the technology firm Palantir will conduct the real-time analysis to determine who to target through system-to-system communication,\u201d Lamdan wrote.<\/p>\n \u201cTogether with a host of law enforcement agency databases provided by Thomson Reuters, Palantir\u2019s controversial \u2018automated policing\u2019 system will determine whether people should be targeted for investigations in support of ICE\u2019s increasingly aggressive scheme to arrest noncitizens.\u201d<\/p>\n LexisNexis data is similarly integrated into ICE\u2019s National Criminal Analysis and Targeting Center (NCATC), based at the Law Enforcement Support Center in Williston, Vt. The NCATC has been described<\/a> in reporting and advocacy research as \u201cthe nerve center for ICE operations\u201d \u2013 processing vast amounts of personal data, generating target lists, and coordinating fingerprint matching between local law enforcement and ICE.<\/p>\n According to the AFSC\u2019s research on RELX, in the second quarter of 2022 alone, the center vetted over 2.3 million individuals for immigration enforcement. Critically, the NCATC\u2019s mission includes targeting not only immigrants convicted of crimes but anyone \u201cunlawfully present in the United States.\u201d<\/p>\n LexisNexis data has also been reported by AFSC to feed into Customs and Border Protection\u2019s Automated Targeting System (ATS), a tool that compares traveler, cargo, and conveyance information against law enforcement and intelligence databases, and the broader TECS platform used for border screening and law enforcement lookouts.<\/p>\n It is important to understand that the data aggregated by CLEAR and Accurint is not limited to individuals suspected of criminal activity or immigration violations. Both platforms draw from the same commercial data pools that underpin credit checks, insurance underwriting, and background screening for the general population.<\/p>\n Thomson Reuters\u2019 CLEAR database includes data collected from individuals who have never had any interaction with law enforcement. In 2024, Thomson Reuters agreed to pay $27.5 million to settle a California class-action lawsuit alleging the company had violated the privacy rights of approximately 40 million Californians by secretly collecting and selling their personal data through CLEAR without consent.<\/p>\n The lawsuit alleged that CLEAR profiles could be constructed on individuals \u2013 including those who had used paid data-scrubbing services \u2013 without their knowledge. Although it settled the case, Thomson Reuters denied liability.<\/p>\n LexisNexis profiles have also been alleged to contain errors<\/a>, including incorrect Social Security numbers and wrongly attributed criminal convictions, according to reporting by CBS News<\/a> and others.<\/p>\n An FTC complaint documented that data brokers like Thomson Reuters and LexisNexis rely on algorithms that use outdated or incorrect information to create profiles, putting immigrants \u2013 both documented and undocumented \u2013 at heightened risk of misidentification.\u00a0<\/strong><\/p>\n While the dollar values of these contracts are significant, they are modest relative to the companies\u2019 total revenues. Thomson Reuters generated more than $7 billion last year. RELX is comparably large. The $22.8 million LEIDS-5 contract represents a rounding error in Thomson Reuters\u2019 earnings.<\/p>\n But the reputational and governance stakes are disproportionate \u2013 and the implications for the legal profession are unique. Thomson Reuters and RELX are not ordinary defense contractors or surveillance startups. They are the companies that provide the fundamental infrastructure of legal research in the United States and, increasingly, a host of other law-practice tools, including AI.<\/p>\n A substantial majority of U.S. legal professionals, law schools and courts use Westlaw or LexisNexis in the course of their professional work.<\/p>\n This creates what some analysts have described as a \u201cvendor consolidation risk.\u201d The same corporations providing surveillance tools to ICE also provide core legal research infrastructure to the lawyers who represent the people ICE is targeting.<\/p>\n That tension \u2013 and the growing internal and external pressure it has generated \u2013 is the subject of Part Two, which I will publish tomorrow.<\/p>\n","protected":false},"excerpt":{"rendered":" For the lawyers and other legal professionals who use Westlaw and LexisNexis every day, these platforms are familiar tools of the trade \u2013 essential systems for finding case law, checking citations and getting practical guidance. But behind those familiar research services is a less-familiar story. The same two corporate parents that dominate legal research have, […]<\/p>\n","protected":false},"author":3,"featured_media":149694,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-149693","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lawsite"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/xira.com\/p\/wp-content\/uploads\/2026\/04\/TheLegalTechGiantsPoweringICE-Part1-FeaturedImage-1024x576-TKwBru.png?fit=1024%2C576&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts\/149693","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/comments?post=149693"}],"version-history":[{"count":0,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts\/149693\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/media\/149694"}],"wp:attachment":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/media?parent=149693"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/categories?post=149693"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/tags?post=149693"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}What CLEAR and Accurint Do<\/strong><\/h3>\n
\n
The Three Key Contracts<\/strong><\/h3>\n
A Fourth Amendment Loophole?<\/strong><\/h3>\n
The AI Amplification<\/strong><\/h3>\n
Palantir and the Integration Stack<\/strong><\/h3>\n
The Implications for Everyday Americans<\/strong><\/h3>\n
A Question of Scale<\/strong><\/h3>\n