Pharmakon Consulting
Knowledge management, verification infrastructure, and AI adoption for law firms
Only 8.6% of companies have moved AI from pilot to production. Anthropic and OpenAI partner with Deloitte and McKinsey to close that gap — at Fortune 500 prices. We close it for law firms, at a fraction of the cost, with the dual fluency of a practicing litigator who builds production AI systems.
The Problem
71% of solo lawyers say they use AI. Only 17.7% actually do. Enterprise legal AI tools cost $288K+/year and don't search your own work product. 716+ documented cases of AI-hallucinated citations have been filed in court. Firms that adopt AI without verification infrastructure find it's actually more expensive and more dangerous than what they were doing before.
The gap isn't technology. It's implementation, knowledge management, and verification. Software engineers solved this with tests and compilers. The legal profession has no equivalent — until now.
Anthropic and OpenAI have had to partner with Deloitte ($200K+ engagements) and McKinsey to bridge this gap for enterprises. We bridge it for law firms — with the same rigor, at 5–20x lower cost, built by someone who actually practices law.
"These sound like things really big law firms have had for a long time."
— Managing partner, Texas litigation firm, upon seeing Pharmakon's knowledge management system
Services
Provision-level searchable databases of local rules, standing orders, and judge preferences for any jurisdiction. Deterministic retrieval with source-linked citations — no hallucination risk. Delivered as API + Claude Code skill.
Live today: Texas (175 counties, 14,045 provisions) · New York (13 districts, 354 judges) · Federal (8 districts, 3,597 provisions) · Criminal defense variant in development
Subscription: $50–$100/month per jurisdiction
Bespoke per-matter intelligence applications. Every filing, motion chain, citation network, party relationship, and legal theory — synthesized into a navigable web application that opens in any browser. No infrastructure required.
Demonstrated across mass tort (4,300+ filings), complex commercial litigation (68 filings, 13 motion chains, 999 citations)
Per matter: $3,000–$12,000
Transform your firm's institutional knowledge — closed files, SharePoint, work product — into queryable, AI-accessible systems. Taxonomy design, file governance, semantic search deployment, and the change management your team needs to actually adopt it. What Deloitte builds for Fortune 500 companies at $200K+, we build for law firms starting at $15K.
Deployed at production scale: 7,892 files across 62 matters, 60+ AI governance documents, 44% documented productivity gain
Project: $15,000–$75,000 · Retainer: $2,500–$5,000/month
Pilot programs that prove value before commitment. Workflow design for your actual practice areas. AI governance frameworks. CLE-eligible training on production AI orchestration — not "how to use ChatGPT" but how to deploy agent teams for litigation workflows. Change management that gets adoption to stick.
12–15 battle-tested AI workflows: document processing, case intelligence swarms, citation verification, motion practice automation, filing QA
Pilot: $5,000–$20,000 · Training: $2,500–$10,000
Approach
Pull material from relevant matters — case files, motions, research, correspondence, institutional knowledge wherever it lives.
Use AI to pull key data, summaries, arguments, and precedents from raw documents — structured, not summarized.
Attorney review of every output for accuracy, relevance, and privilege. Human verification is the product, not an afterthought.
Store in searchable, AI-accessible infrastructure that any attorney on the team can query — permanently. Knowledge that compounds.
Who This Is For
You're competing against BigLaw resources with a fraction of the headcount. Your institutional knowledge is your edge — if you can find it. We make it searchable, structured, and permanently accessible.
550+ documents per complex case. Standing orders that change by judge. Discovery obligations that vary by court. We build the systems that make navigating this second nature.
You've seen the demos. You've heard the promises. What you need is someone who has actually deployed these systems in active litigation — not a vendor, but a practitioner who understands the risk.
Founder
Pharmakon is built by an attorney who spent a decade in federal courts — civil rights cases, pharmaceutical mass torts, complex commercial litigation — and then built production AI systems for a litigation practice. Not as an experiment. In active cases, at production scale, with real stakes.
The legal industry's AI adoption gap is the same gap that led Anthropic to invest $100M in a partner network and OpenAI to hire hundreds of Forward Deployed Engineers. It's not a technology problem — it's an implementation problem. Solving it requires someone who understands both the legal risk and the technical architecture. The market has plenty of IT consultants who don't understand litigation and lawyers who can't build systems. That intersection is rare. It's where Pharmakon lives.
Every engagement starts with a conversation. No pitch. No demo you didn't ask for. Just a clear-eyed look at what AI can and can't do for your practice — and an honest assessment of where to start.