AT&T built the LegalEdge team to reshape how in-house lawyers handle casework with AI [6]. The telecom company shared the partnership on October 8, 2026, joining OpenAI as a flagship design partner just three weeks after the AI developer introduced Astra for Law [2]. The plan does not replace lawyers with automated tools. Instead, it keeps human review at the center of every task while testing ways to search company files faster [1].
How the LegalEdge Team Began
AT&T launched LegalEdge in January 2026 after testing the idea through a small pilot of 24 to 30 people [4]. The LegalEdge team quickly grew into a permanent group of approximately 38 legal professionals, uniting lawyers, paralegals, technologists, and e-discovery specialists [1]. The unit functions as an in-house practice group rather than an experimental lab [4].
Brendan McMurrer, a VP and associate general counsel at AT&T, took charge of the group alongside Ava Guo, an assistant VP and senior legal counsel who focuses on legal tech and staff training. Guo moved her e-discovery and technology unit directly into the team. McMurrer and Guo directed staff to manage factual development, document review, and case chronologies for company disputes. They drafted filings, built privilege logs, and prepped witness packets for litigation [1].
The roles are non-supervisory. Published job postings for Lead Attorney positions set quantitative production-hour targets alongside qualitative performance standards to track daily casework, while requiring mandatory attorney verification for every single AI-generated draft before it reaches client teams [1]. In its first six months, the group resolved nearly 100 legal matters [3]. That initial run proved in-house staff could absorb demanding litigation workflows without compromising quality, allowing AT&T to pull thousands of hours of routine legal tasks away from national law firms throughout 2026 before layering in OpenAI models to expand capacity. OpenAI provided the next logical step [4].
Goals of the OpenAI Partnership
The deal closed on October 8, 2026. AT&T joined OpenAI as a flagship design partner to build custom tools that help lawyers search accumulated company files, resolve repetitive inquiries, and turn scattered research notes into reusable legal workflows across the business. David McAtee, who leads AT&T’s legal team as general counsel, said the project will modernize how legal work moves through the company [2].
McAtee framed the project as an opportunity to rethink how corporate departments operate over time. “AI gives legal departments an opportunity to do more than improve individual productivity,” McAtee said. “It gives us an opportunity to rethink how legal work moves through an organization, how institutional knowledge is retained and how our lawyers focus their time” [2]. Past answers often stay hidden. When one lawyer resolves a complex dispute, that hard-won knowledge rarely reaches colleagues facing similar contract disputes, which is why the partnership established three core priorities: opening access to company knowledge, accelerating routine tasks, and protecting lawyer capacity for strategy and advocacy [3]. Human review stays mandatory [1].
How the LegalEdge Team Manages Intake
Bill Ryan, AT&T’s senior VP and chief compliance officer, views matter intake as a prime area for tech improvement [1]. Requests arrive daily from various business units, forcing lawyers to spend hours assembling background facts before offering counsel. Ryan described plans for a natural language intake portal that will serve as an intelligent front door for incoming work, sorting requests and connecting them with company precedent [5].
The portal will present the assigned lawyer with past context and recommended starting steps before drafting begins. This system gives lawyers a structured starting point, eliminating repetitive administrative research. “What most excites me about the future is expanding our ability to provide legal judgment at greater scale,” Ryan said. McAtee also said that lawyers will always guide final outcomes [5].
Ryan stated that the company will not evaluate progress by simply counting the number of software applications deployed to staff. “Success will not be measured by how much technology we deploy,” Ryan said during an interview highlighted by Artificial Lawyer. “It will be measured by whether we improve quality, make knowledge more accessible, build reusable capabilities, and give our legal professionals more capacity for the work that requires experience and judgment” [2]. David McAtee confirmed that human discretion remains the non-negotiable bedrock of the program: “The decision making will always remain with the lawyers” [5]. The system will not deliver unvetted advice directly to business units, but gathers relevant facts so that lawyers can weigh legal risk accurately [3].
Trimming Outside Law Firm Rosters
AT&T expects its expanding in-house capabilities to produce substantial changes in how it hires outside counsel. General Counsel David McAtee announced that the company aims to reduce its roster of national law firms from approximately 30 down to 18 or 20 over the next two years. As the LegalEdge team absorbs standard casework, the telecom giant will rely less on external law firms for routine drafting and discovery. McAtee also said that AT&T plans to favor outside law firms that actively adopt AI tools within their own legal practices [4].
AT&T is not alone in seeking to curb outside legal bills through automation. In a December 2025 survey of more than 100 corporate legal departments using GC AI, respondents reported an average 14 percent reduction in outside counsel spending after automating standard drafting and contract reviews. This data fits into wider discussions surrounding the shift to AI in professional services, where corporate clients increasingly challenge traditional hourly billing models and reward firms that deliver transparent efficiency gains. By taking greater ownership of technology, in-house teams can handle routine tasks internally and hire outside counsel solely for high-stakes trials and specialized filings [3].
Other corporate counsel agree that software should support rather than replace human judgment during contract negotiations. Alexis Palmer, senior managing counsel at security software provider Snyk, summarized the operational balance: “It doesn’t replace the human element of risk assessment, it just gives me the time to focus on that part”. Snyk serves over 4,500 clients, including Google and Anheuser-Busch InBev [3]. That sentiment reflects AT&T’s core philosophy as it reshapes its legal operations [1].
Industry Context and Governance Questions
The AT&T collaboration comes during a rapid expansion of AI tools throughout the legal profession. OpenAI introduced Astra for Law on September 17, 2026, offering specialized access through ChatGPT and Codex. Jason Boehmig, general manager for legal industry at OpenAI and former co-founder of contract software provider Ironclad, praised AT&T for treating its stored legal knowledge as a valuable corporate asset. “AT&T is helping lead the way by rethinking how its legal expertise and institutional knowledge can serve the entire company,” Boehmig said. “Together, we’re exploring how AI can put that knowledge to work across the business, with lawyers’ judgment at the centre” [2].
While AT&T chose to co-develop custom workflows with OpenAI, many companies prefer turnkey platforms that avoid custom engineering. Platforms like GC AI now serve more than 2,100 legal teams, offering pre-built workflows that avoid complex software builds [3]. Legal teams deploying these tools must establish clear operational rules for AI agents to prevent unauthorized data sharing and protect confidential business records. Keeping client data secure remains a fundamental duty for any law department adopting AI tools [1].
Broader market numbers provide additional context for AT&T’s push toward internal efficiency. Financial filings from October 21, 2026, showed AT&T shares trading at $21.945, slipping 6.30% during the trading session to reach a $152.43 billion market valuation. The legal department’s modernization drive operates independently from short-term market fluctuations, but leadership faces ongoing pressure to control company overhead [1]. Whether the LegalEdge team hits its two-year targets for cutting outside law firm expenses will serve as a key test for enterprise legal automation [4].
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