Beckett Labs partnered with a mid-sized law firm with offices in New York City and Washington, D.C. to modernize how work flows through the firm. Rather than treating AI as another tool layered onto old habits, Beckett led partners, associates, and staff through a focused business process review, then embedded intelligent AI agents directly into three critical areas: client intake and conflict checking, matter preparation and document review, and timekeeping and billing. Beckett’s proprietary agents now sit inside the firm’s day-to-day workflows—handling entity extraction, conflict analysis, document clustering, and draft time-entry generation—replacing manual, inconsistent, and slow steps with consistent, auditable automation.
As one legal partner noted, “We didn’t need another tool—we needed a better way to work. Beckett helped us rethink how the firm actually runs.” Intake cycles dropped from days to minutes as AI agents parse inbound emails and forms, pre-populate PMS records, and run first-pass conflict checks across prior matters and parties. Contract and case preparation time fell by more than 50%, with lawyers relying on AI to surface key documents and generate concise summaries so they can focus on strategy, not search. On the back end, AI-assisted timekeeping and narrative drafting reduced write-offs and billing disputes while improving clarity for clients. As Beckett Labs Partner Andre Hill states, “AI isn’t replacing lawyers—it’s replacing friction.” The result is a faster, more confident firm with a scalable operating model—designed to grow without requiring a linear increase in headcount.
Beckett Labs partnered with a fast-growing software startup struggling with lengthy cycle times and inconsistent code quality, to modernize its engineering operations and accelerate product delivery. Rather than introducing AI as a developer add-on, Beckett Labs conducted a full workflow assessment and redesigned how code moves from idea to production. The initial engagement focused on deploying AI copilots and automated CI/CD systems to support engineers in writing, testing, and reviewing code more efficiently. These systems, trained on the company’s specific codebase and development standards, immediately enabled consistent quality, 40% faster pull requests, and a significant drop in production defects.
As engineering velocity increased, Beckett Labs expanded the partnership to focus on product innovation—helping the company design and build new features using AI-assisted development workflows. As the company’s CTO noted, “Our developers didn’t want more tools. They wanted fewer problems. Beckett delivered that.” Release cycles accelerated, quality improved, and engineers shifted from repetitive implementation to higher-value design and innovation.
The result is a more productive team, faster, higher-quality delivery, and a product/engineering organization designed to scale.
Beckett Labs partnered with a regional property management company to modernize resident service operations by embedding AI directly into its maintenance and support workflows. Rather than layering technology onto existing ticket systems, Beckett Labs conducted a full process review and redesigned how service requests are received, prioritized, and fulfilled. The engagement began with deploying AI-driven triage for resident requests—automatically classifying issues by urgency, elevating safety-related incidents first, and prioritizing outages such as heating and water above routine maintenance. What was once managed manually by overworked coordinators is now handled in real time, with every request assessed consistently and intelligently.
From there, Beckett Labs extended AI across field operations by improving routing and technician readiness. Work orders are now enriched with contextual details, automatically assigned based on skill and location, and validated against parts inventory—ensuring technicians leave with the right tools and materials for the job. As the Maintenance Director noted, “We stopped reacting and started running a system.” Response times fell, first-time fix rates improved, and team utilization increased across the portfolio. The result is a more reliable property operation, happier residents, and a new service mode for our dispatchers and technicians.
Beckett Labs partnered with a leading national accounting firm, spanning offices in New York City, Atlanta, and Austin, to fundamentally redesign their internal operations. Instead of simply bolting on new software, Beckett Labs led the firm through a business process review and then integrated AI directly into core workflows. The initial transformation targeted key process bottlenecks: client onboarding, document ingestion, and reconciliation. By replacing error-prone manual data entry and fragmented systems with intelligent automation, the firm eliminated fragmented handoffs and boosted internal efficiency.
The integration continued across critical audit and advisory functions, where teams now utilize AI for anomaly detection, workpaper review, and extracting data from unstructured financial documents. This shift enables earlier identification of compliance risks. As the firm noted, “We didn’t want to use AI to go faster—we wanted to go better.” The outcome is a scalable operating model that has significantly shortened turnaround times and increased accuracy. By moving staff from manual validation to high-value client strategy, the firm is positioned for growth without relying on linear increases in headcount.
