AI Advisory · Los Angeles
AI for Law Firms. From adoption to structural advantage.
Most law firms have started their AI journey. Very few have converted that start into durable competitive edge.
The firms that pull ahead are not the ones with the most tools. They move deliberately from AI‑assisted work to AI‑embedded workflows — where AI constructs, organizes, and surfaces, and attorneys advise, judge, and conclude.
We currently support multiple U.S. law firms with AI strategy, oversight committee design, workflow redesign, and agentic readiness across practice groups.
We don't start with the tool. We start with where your work is slow, expensive, or under-monetized — and build from there.
Three arguments that compound
The case for moving now.
I — Capacity
Capacity without headcount.
Agentic workflows automate structural execution like timelines and diligence. Attorneys oversee higher matter volume and redirect freed hours into high-value, billable judgment.
II — Margin
Margin recovery.
Real-time time capture and OCG scanning deliver 5–8% revenue recovery while preventing write-downs, turning administrative leakage into bottom-line margin.
III — Positioning
Positioning.
Enterprise clients now factor AI maturity into panel selection. A documented AI architecture turns compliance into your firm's sharpest client-facing narrative.
Seven service tracks
What we do for law firms.
AI Strategy & Operating Model
Set a clear direction for how AI advances the firm — not as a technology project, but as an operating model decision.
- —AI posture and house view definition
- —Readiness across people, process, and technology
- —Roadmap with sequenced pilots and success criteria
AI Governance & Risk Framework
Build the governance architecture that lets attorneys use AI confidently — and gives clients reason to trust the output.
- —Tool taxonomy — approved, pilot, prohibited
- —Court filing disclosure protocols
- —Engagement letter AI provisions
AI Oversight Committee Enablement
A recurring governance rhythm that keeps the firm informed, aligned and ahead.
- —Committee agenda design and governance rhythm
- —Market and regulatory intelligence: courts, regulators, client demand, AmLaw activity
- —Tool approval logic and policy update cadence
- —Training priorities and workflow sequencing
- —Escalation triggers and risk triage
Workflow Redesign & Agentic Readiness
Move from attorneys using AI when it occurs to them, to AI as the embedded default first step — and beyond, into agentic workflows.
- —High-frequency task identification across practice groups
- —Workflow mapping and current-state baselining
- —Agentic workflow design with human authorization gates
- —Prompt-based to systematic deployment transition
- —Capacity model and KPI framework
Billing, OCG & Revenue Protection
Apply AI directly to the workflows where revenue leaks — and recover it.
- —Pre-bill review and time entry quality
- —Outside counsel guideline detection and compliance scanning
- —Invoice rejection reduction and billing narrative guidance
- —Realization improvement and write-off prevention
- —Revenue leakage analysis and KPI modelling
Firmwide Training & Adoption
Build the capability, confidence, and habits that make AI adoption stick — firm-wide and role by role.
- —Role-specific training: foundational literacy through agentic workflows
- —Practice-group sessions grounded in real work product
- —Responsible use training from day one
- —Client communication: answering “do you use AI?” with precision
- —Champions network and annual reinforcement model
Business Development Transformation
Use AI to make your attorneys better at winning and growing client relationships.
- —AI-enabled bios, pitch materials and matter retrieval
- —Client targeting and industry intelligence
- —Personalised outreach and relationship development
- —Knowledge system grounded in existing pitch materials
- —RainmakerGPT — a structured AI interface for law firm BD