AI Readiness Audit
Honest read of stack, workflows, and risk before you buy tools
Public site — beta pass in progress. Copy and layout may shift; About is the stable anchor for who we are.
For partners, GCs, and legal ops
Systems architects and implementers for law firms—integration, vendor diligence, and rollout beside your ethics counsel and IT, not slide-deck AI.
Industry benchmarks—not Firm Leverage promises
Context and caveats — your mileage depends on practice, data, and governance.
We aren't attorneys—we're systems architects who stay through rollout, not the kickoff deck. We match pace to how your firm decides: confidentiality, privilege, supervision, and what vendors may do with matter-adjacent data.
We don't sell “AI transformation.” We help you pick what to adopt, in what order, with architecture that still holds after the first hard matter and the first vendor surprise.
Vendor diligence on us—insurance, contracting, how we show up—lives on About and Terms; ask direct questions on a call if you're past exploratory reading.
One model, scaled to your firm—every path starts with an honest readiness read.
Honest read of stack, workflows, and risk before you buy tools
Private models on boundaries your ethics counsel can defend
Connect legacy systems to the AI layer without demo-day fragility
One throat when vendors, specialists, and your IT all touch the work
ToS, retention, and privilege exposure before you sign
Written supervision rules that match how your firm actually works
Pilot shapes in Reads; in the room via city meetups (Boulder and Ottawa announced).
We don't claim certifications we don't hold. We do map tools and vendors to what ABA guidance, bar rules, and privacy law expect—so your ethics and ops leads aren't guessing in procurement.
Attorneys must make reasonable efforts to prevent unauthorized disclosure of client information. We scope every AI tool recommendation to this standard — what's sufficient, what's overkill, and what's a liability.
Judge Rakoff's February 2026 ruling: AI-generated content is not privileged if the vendor's ToS allows data retention, training, or third-party disclosure — regardless of who typed the prompt. Vendor ToS is now a privilege question, not just a procurement one. We audit it. PAP addresses this at the protocol layer →
The ABA's AI governance guidance for law firms covers competence, confidentiality, and supervision of AI-assisted work. We help firms build practices that hold up against it — without theater.
The first international standard for AI Management Systems (established December 2023). Increasingly the benchmark for how responsible AI adoption is evaluated. We know what it asks for and what it doesn't.
The de facto vendor attestation standard for security, availability, and confidentiality. We help firms understand what to require from AI vendors — and how to read a SOC 2 report rather than just accept that one exists.
Colorado's Office of Attorney Regulation Counsel and the Colorado Rules of Professional Conduct set the confidentiality and competence floor for Colorado-admitted attorneys. The rules on client trust apply to your AI stack whether your vendors know it or not.
The Law Society of Ontario and the Federation of Law Societies of Canada set the professional conduct framework for Canadian lawyers. Confidentiality obligations under these rules extend to every tool and vendor in your workflow — AI included.
Canada's Personal Information Protection and Electronic Documents Act governs how client data is collected, used, and disclosed — including by AI systems processing that data on your behalf. Provincial equivalents (PIPA, Law 25) add additional requirements in some jurisdictions. We help firms understand where their AI stack creates exposure.
We can draft and produce website content, client-facing documentation, and internal policy language regarding your firm's compliance posture — written for the legal industry, not lifted from a SaaS template.
Published benchmarks from legal and vendor sources. Your mileage depends on practice, data, and governance—we use these to set honest expectations, not to promise outcomes.
Leading firms are reducing first-draft turnaround for standard agreements by up to 80% using modern AI frameworks.
Source: ABAAutomated clause analysis has achieved identification accuracy exceeding 90% in bench-mark legal risk audits.
Source: LexCheckIntegrated AI flows reduce total document lifecycle times by over 60%, removing bottlenecks in partner review.
Source: Industry BenchmarksWhen retention, training, or cross-border routing is the issue, we design for local execution and clear data boundaries—so "innovation" doesn't outrun what your duties allow.
If you're hiring us: skip this block—use Book a Call or Locations (meetups and cities).
If you're a contributor: we're independent humans (no W-2 ladder): city hosts, architects, legal ops, sales, vendor relations, peers. If you care about getting AI right in law, there may be a lane for you.
Book a free 30-minute intro, email us, or sit in on an AI for Lawyers session—whichever fits how your firm buys advice.
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