[ AI IMPLEMENTATION FOR LAW FIRMS ]
Roughly 95% of law firm AI pilots never deliver measurable impact — not because the model is wrong, but because no one ran the implementation. We take your firm from intent to adoption: workflow audit, pilot, build, rollout, and ABA 512 governance. One team, in-house.
30 min with a co-founder. No sales pitch.
95%
of pilots fail without this
8 wk
embedded support
ABA 512
governance built in
[ THE PROBLEM ]
Firms buy tools and expect adoption. It almost never works that way. Here is what actually goes wrong.
01
A tool, not a use case
02
One demo is not a rollout
03
Partners never trust it
[ THE PROGRAM ]
Four phases. We measure adoption, not installation.
We map how your firm actually works and pick the 3-5 highest-impact use cases. You get a prioritized roadmap and honest ROI estimates before a line of code.
We build the integration into the systems you already use — Clio, MyCase, DMS, billing — and prove it on a real workflow with real data before rolling wider. The technical integration is handled in-house.
Embedded support during rollout: office hours, workflow refinement, new templates as attorneys surface needs. This is the phase that makes adoption stick, and the one most vendors skip.
ABA 512 audit trail, attorney verification gates, and adoption metrics you can show the partnership. Governance is designed in from day one, not retrofitted.
[ WHAT GETS ADOPTED ]
We implement the workflows with a clear ROI and a clean compliance story — the ones that survive past the pilot.
Drafting from the file: consult memos, status reports, engagement letters, and clause libraries generated from your templates and matter data, landing back in the file for attorney review.
Intelligent intake that routes, categorizes, and pre-populates matter records — cutting intake from hours to minutes and feeding your existing case management cleanly.
Multi-step pipelines that turn case records into medical and fact chronologies, deposition summaries, and damages tables — every entry cited to its source document.
RAG over your own document library with traceable citations, and Elasticsearch for sub-100ms search across 1M+ documents where volume demands it.
Agents that run multi-step firm workflows under attorney control. For the full architecture and pricing, see AI agent development and legal AI automation.
The verification gates, append-only audit log, and privilege-safe deployment that make partners comfortable signing off — implemented alongside every workflow, never after.
[ FREE TOOL ]
15 questions across four risk dimensions: data lock-in, document search gaps, AI exposure, cost bleed. You get a consultant-grade PDF with dollar-value gap estimates and a prioritized starting point.
Take the free assessmentTakes 3 minutes. No account needed. PDF downloads instantly.
[ FAQ ]
AI implementation is the end-to-end program that takes a firm from intent to adoption: auditing your workflows to find the highest-impact use cases, running a scoped pilot, building the technical integration, training the people, and putting the governance and audit trail in place so it holds up under ABA Opinion 512.
It is broader than integration. Integration is the plumbing that connects AI to Clio or MyCase; implementation is the whole program that makes sure the firm actually uses it and can defend it. See Legal AI Integration for the technical build.
The common failure is buying a tool without an implementation plan. Roughly 95% of AI pilots fail to deliver measurable impact, and the reason is rarely the model — it is no workflow fit, no integration into the systems attorneys already use, one training session instead of embedded support, and no governance so risk-averse partners never trust it.
We treat implementation as the product: the tool is a component, adoption is the deliverable.
Integration is a technical service: we connect AI to your practice management, document, and billing systems through APIs and MCP servers. Implementation is the program around it: use-case selection, pilot, change management, training, governance, and measurement.
Most firms need both, and we do both in-house, but they are different scopes. If you already know exactly what to build and just need it wired up, that is an integration engagement. If you have AI ambitions but no adoption, that is implementation.
A typical program runs a 1-week workflow audit, a 4-6 week build-and-pilot phase, and 8 weeks of embedded support during rollout. The embedded phase is the part most vendors skip and the part that determines whether adoption sticks.
We stay in the firm through rollout: office hours, workflow refinement, and new templates as attorneys surface real needs.
Yes — governance is built into the program, not bolted on. Every AI action is logged append-only, AI-generated content is flagged for attorney review before any client-facing use, and the deployment runs on commercial AI terms with training disabled and Zero Data Retention so privileged content is not used for training or retained.
That verification-and-audit layer is what satisfies ABA Opinion 512 competence and confidentiality duties.
Scope and pricing are tailored to the firm — the drivers are how many workflows you want live, which systems we integrate, and the depth of governance required. Simple integrations start at $1,700; full builds are fixed-price in the $17,000–$53,000 range depending on scope.
We provide a fixed-price proposal within five business days of the discovery call, and we do not quote before we understand the full scope. Book a 30-minute call to walk through what your firm actually needs.
[ GET STARTED ]
30 minutes with a co-founder. We'll map your highest-impact workflows, tell you honestly what's worth implementing, and scope a program that ends in adoption — not shelfware.
Accepting 1 new implementation
