Alex Su and Andy Chagui on Flexible Legal Talent, AI Pressure, and the Future of Law Firm Leverage

The Geek In Review (3 Geeks and a Law Blog)
The Geek In Review (3 Geeks and a Law Blog)May 18, 2026

Why It Matters

Flexible legal talent lets firms close AI and capacity gaps quickly, while giving attorneys sustainable, project‑based career options in a rapidly evolving market.

Key Takeaways

  • Flexible legal talent addresses firms' capacity and AI adoption gaps.
  • Latitude supplies high‑caliber, contract attorneys for short‑term, specialized projects.
  • Firms use contingent experts for knowledge‑management, AI tool training, and quality control.
  • Remote work and post‑COVID shifts enable niche, project‑based legal roles.
  • Flexible staffing offers attorneys career variety beyond traditional associate‑partner track.

Summary

The podcast explores Latitude’s flexible‑legal‑talent model as a response to law firms’ capacity constraints and the pressure to adopt AI tools. Hosts Greg Lambert and Nikki Shaver introduce Alex Hsu and Andy Chagui, who explain how Latitude places former big‑law and in‑house attorneys on contract assignments for firms and corporate legal departments.

The conversation highlights a surge in demand for contingent experts who can bridge the gap between sophisticated technology platforms and the limited internal resources of knowledge‑management and innovation teams. Latitude’s attorneys not only fill associate‑level gaps but also take on partner‑level responsibilities such as trial chairing, AI‑tool training, and quality‑control of generated outputs.

Examples cited include firms struggling to allocate billable‑time associates to non‑billable AI projects, prompting them to tap Latitude for subject‑matter expertise. The hosts note that post‑COVID remote work norms have made it easier to deploy highly experienced lawyers on short‑term, niche assignments, creating a new career pathway distinct from the traditional associate‑to‑partner ladder.

For law firms, this model offers a scalable solution to burnout, talent shortages, and AI implementation challenges, while attorneys gain flexibility and diversified experience. The shift signals a broader re‑engineering of legal service delivery, where flexible talent becomes a strategic asset rather than a stopgap.

Original Description

This week on The Geek in Review, we talk with Alex Su and Andy Chagui of Latitude about the shifting economics of law firm talent, the rise of flexible legal staffing, and the pressure AI is placing on traditional leverage models. Su, known across legal circles for his sharp commentary and creative legal industry videos, brings his background as a former Sullivan & Cromwell litigator and federal clerk to his current work leading revenue strategy at Latitude. Chagui adds the perspective of a former Carlton Fields shareholder who spent 15 years handling high-stakes federal litigation before moving into the new law space. Together, they offer a practical view of where law firm staffing is headed as clients, firms, and legal departments all face rising expectations around speed, value, and technology adoption.
Latitude’s model centers on high-end, flexible legal talent, experienced attorneys with Big Law or in-house backgrounds who step into law firms and corporate legal departments for specific engagements. Chagui explains that these lawyers often support overflow work, leave coverage, secondment requests, internal projects, and interim needs across practices ranging from litigation to corporate, labor, and employment. Su adds that staffing itself is not new, yet Latitude focuses on a segment of talent that traditional hiring models often miss, experienced attorneys with strong credentials who prefer engagement-based work over the standard full-time track.
The conversation turns quickly to why this model is gaining traction now. Remote work, post-COVID hiring shifts, and the growing acceptance of distributed teams have made it easier for firms to bring in experienced attorneys without requiring long-term headcount commitments. Chagui notes that many Latitude attorneys have 10 or more years of experience, meaning they often need less supervision than junior lawyers and move quickly into productive work. This matters as firms face inconsistent demand, intense competition for talent, and hesitation around layoffs, which in law firms often signal weakness rather than discipline.
AI adds another layer to the staffing problem. Firms have invested in tools such as Harvey, CoCounsel, and other specialized platforms, yet many knowledge management and innovation teams lack enough subject matter experts to train users, review outputs, build use cases, and handle quality control. Chagui describes Latitude lawyers helping firms train internal AI tools, review AI-generated work, and support practice-specific rollout efforts. Su points out that while some firms offer associates credit for AI training or innovation work, associates under billable hour pressure often choose client work first. Flexible talent gives firms another way to support AI adoption without asking already-stretched associates to carry the full load.
Su also frames flexible talent as a new form of leverage. Clients still trust senior partners and often accept premium rates for high-value judgment, but they are increasingly skeptical of paying top-tier rates for junior-level work. In that middle layer of legal work, AI, technology, and experienced flexible attorneys give firms more options. Su calls this “outsourced leverage,” a way to support the partner-client relationship while rethinking who performs the work underneath. The discussion also highlights a career-path shift for attorneys who prefer specialized, project-based work, especially in areas like knowledge management, AI implementation, and innovation support.
Looking ahead, both guests see uncertainty as the defining feature of the next phase of legal services. Chagui expects the traditional model to keep changing as firms and legal departments seek more flexible options. Su predicts continued upheaval around staffing, AI capabilities, and outside counsel relationships, especially as foundational AI models move further into in-house legal workflows such as NDA review, contract review, and eventually parts of diligence. Yet Su also offers a reminder for law firm leaders: premium legal judgment still has value. The rates for top partners are unlikely to fall simply because AI improves. The pressure will land instead on how firms structure the work beneath them.
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[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠
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