The inefficiencies aren’t hidden. The path out of them is.
The research that takes a week could take an hour. The request that routes through three people should need one. The process repeated manually every time should run in the background. The work is visible. What’s missing is the path from “this shouldn’t take a person – or this many people” to “this work is happening in the background.”
Before defining the path forward, you have to understand the current state. Knox Design Strategy works with law firms to map existing workflows, identify opportunities for agentic AI, and define how people, processes, and technology should work together.
AI Opportunity Assessment – Which legal and business processes are candidates for AI agents or workflow automation, and which aren’t. Knox Design Strategy reviews how work runs across the firm, sorts the repeatable work from the work that requires judgment, and prioritizes the processes where automation would reduce effort rather than relocate it.
Current-State Workflow Mapping – Before a workflow can be redesigned, it has to be understood as it actually runs. Knox Design Strategy maps the process end to end – decision points, handoffs, approvals, and workarounds – including the steps that never made it into any documentation.
Future-State Workflow & Agent Design – How the work should run, and what an agent handles within it. Knox Design Strategy designs agent-first workflows that make decision paths explicit, define how information moves through the process, and determine where automation creates value and where it doesn’t belong.
Human-in-the-Loop Design – What an agent can decide on its own, what requires a person, and what happens when something falls outside the expected path. Knox Design Strategy defines decision rights, approval points, and escalation paths so oversight is designed into the workflow.
Data & Knowledge Source Mapping – An agent is limited by what it can reach. Knox Design Strategy identifies the systems, documents, and knowledge sources a workflow depends on, where they live, and where the gaps are – so the design accounts for what exists rather than what’s assumed to exist.
AI Roadmap & Requirements – Translating the design into documentation for implementation. Knox Design Strategy defines business and technical requirements, sequences the work into phases, and sets the outcome metrics that measure meaningful results – not just activity.
Each step of the new workflow is documented: the decision points and who owns them, the information each step needs, and where an agent takes on some or all of the work. The design also defines where people stay in the loop – what an agent can do on its own, what needs review, and what happens when something falls outside the plan. The result is an annotated diagram that guides implementation, testing, and training – and the baseline for judging whether it delivers.
AI creates value when it improves the way work gets done. Knox Design Strategy helps law firms identify opportunities for agentic AI, redesign workflows, and create implementation roadmaps that balance efficiency with appropriate human oversight.
Let’s discuss how AI strategy and workflow design can support your firm’s goals.
