07 · Legal & procurement
AI Consulting for Legal and Procurement
Practical help planning, building, and testing AI projects, inside or outside your CLM.
Problem
Your team has questions about AI, a tool to evaluate, or a project under way. You need to know what fits the task, how to test it, and what people still need to review.
Approach
We define the job with your team, compare approaches, and help build and test a focused solution. That can include document intake, search over approved sources, contract-data extraction, and legal or procurement workflows. Each project sets clear inputs, expected outputs, review steps, and ownership.
What you get
Use-case assessment and project requirements
Tool comparison and workflow design
Scoped prototype, test cases, and recorded limits
Implementation support, team training, and handoff
QUESTIONS
Answers to the common ones.
Koho helps legal and procurement teams plan, build, and test AI tools and workflows. That can start with a best-practices question, a tool you are considering, or something your team is already building. Examples include document intake, finding information in approved sources, contract-data extraction, and review workflows that keep a person responsible for the result. We start with the specific job and the systems you use, then define the inputs, expected outputs, and checks before choosing an approach. Depending on the project, the work can include requirements, tool comparison, a prototype, test cases, implementation support, and operating instructions. The scope and deliverables are agreed for your project. This is technology and process consulting; your legal team remains responsible for legal advice, policy decisions, and approval of legal work.
You do not need a CLM platform or a finished AI plan to talk with Koho. The work can sit inside your contract system or elsewhere in your legal or procurement process. Bring the task you want to improve, the tools you already use, and an example of the result you need. We can help turn an open question into a defined project or review an existing approach before you commit to more work. Early planning covers what information the tool may use, who reviews its output, how you will test it, and who will own it after launch. A small test can help identify errors and limits before a wider rollout. The next step is a conversation about your project, followed by an agreed scope rather than a preset tool, price, or implementation promise.