Advisory engagements for law firms, in-house teams, and legal-adjacent organizations — AI strategy, build-vs-buy decisions, governance frameworks, and change management to actually adopt what gets recommended.
AI Automation Consulting is the advisory practice at AI Direct. The work is engagement-based — typically four to twelve weeks — and ranges from "what does our AI roadmap look like" to "we already bought three tools and they aren't getting used." The deliverable is always a defensible decision and a path to execution, not a generic deck.
Engagements draw on the same operating experience that built the LexGo product family, so the recommendations come from people who have shipped legal AI in production — not from a research analyst who summarizes vendor pitches.
Each engagement starts with a scoping conversation — what's the actual problem, who's the decision-maker, what would success look like. From there, the work follows a structured pattern: interviews and observation, current-state mapping, opportunity sizing, build-vs-buy and vendor evaluation, and a written recommendation with implementation milestones.
Where the recommendation is "buy and integrate," the engagement can transition into AI Legal Services for execution. Where it's "build something custom," the same hand-off applies. Where it's "don't do this yet," that's also an answer worth paying for.
Multi-quarter roadmap for legal AI adoption — what to build, what to buy, what to wait on, and how to measure progress.
Vendor evaluation against a specific use case — stack analysis, total cost of ownership, integration risk, and a written recommendation.
Privilege, confidentiality, model selection, audit trails, and policy guardrails — drafted to your firm's risk posture, not borrowed boilerplate.
The reason most AI projects don't get adopted isn't the technology — it's the rollout. Stakeholder mapping, training plans, and adoption metrics built in.
Quantified opportunity sizing for the matters and workflows AI actually moves — not vendor-supplied savings claims.
RFP drafting, vendor negotiations, security review coordination, and contract review for AI tooling and managed services.