Trusted by leading brands
Law firms are falling behind their own clients
Your clients are not waiting for outside counsel to figure out AI. They are already using it. For contract review, legal research, matter management, and spend analysis.
The firms winning right now are not buying more tools. They are building the AI layer on top of the tools they already have — iManage, Relativity, Ironclad — custom to their workflows, compliant with their data governance.
The firms losing are still running manual document review, email-based intake, and partner estimates that are off by 50%.
The AI Pathfinder Assessment tells you which one you are, and exactly what to do about it.
35%
reduction in unplanned downtime at manufacturers with AI deployed
$5M+
average annual efficiency gain from production scheduling AI
75%
of manufacturers cite data readiness as their top AI barrier
6 Phases. Every Gap. One Roadmap.
Phase 1
Business positioning
Where does your firm stand competitively? Which practice areas are most vulnerable to AI displacement? Which clients are already pushing for AI-enabled service delivery?
Phase 2
Strategy
Is your firm's growth strategy aligned with AI capabilities? Which AI investments support your target client profile? Build vs. buy vs. partner: what's right for your situation?
Phase 3
People & process architecture
How does legal work actually flow through your firm? Where are the manual handoffs that create delay and error? Partner resistance mapping: where are the adoption blockers?
Phase 4
Data architecture
Where does your matter data live? Document management (iManage, NetDocuments, SharePoint)? Time and billing (Aderant, Elite, Clio)? eDiscovery (Relativity, Logikcull)? Is your data structured enough to train on?
Phase 5
System architecture
Full technology stack assessment. What you have, what you're paying for, what you're actually using. Where the AI layer needs to be built, and where it can plug in.
Phase 6
External vendors
Legal tech vendors in your current stack. Contract terms and data portability. Which relationships support AI expansion and which create lock-in.
Deliverables
Current State Audit
- Complete map of your systems, data, workflows, and technology spend
- Where AI is already in use and whether it is working
- Gap analysis against leading firms in your practice area
Technical Roadmap
- Sequenced implementation plan
- What to build first, second, and third — and why
- Build vs. buy vs. partner recommendations for each use case
- Integration requirements with your existing systems
Prioritized Opportunity Portfolio
- Ranked list of AI use cases by ROI and feasibility
- For each opportunity:
- Expected time savings
- Cost reduction
- Data requirements
- Implementation complexity
- Estimated investment and payback period
- Top opportunities for legal firms:
- Contract review automation
- Document classification for eDiscovery
- Matter cost prediction
- Client-facing AI tools
Financial Model
- 3-year cost, savings, and ROI projection
- By use case and in aggregate
- Sensitivity analysis (best case, base case, conservative)
- Investment justification for partnership committee presentation
"Cadwalader Connect allows us to leverage powerful tools to efficiently manage our business, strengthen internal and external relationships, provide efficient access to data, and deliver exceptional legal services to our clients."
Patrick Quinn, Managing Partner, Cadwalader
Three ways to engage
Strategic Assessment
2-3 weeks
Initial exploration, leadership alignment
Outcomes:
- Phase 1-2 assessment
- High-level opportunity identification
- Executive summary
Comprehensive Pathfinder
4-6 weeks
Full diagnostic before committing AI budget
Outcomes:
- All 6 phases
- Prioritized opportunity portfolio
- Technical roadmap
- Financial model
Pathfinder + Pilot Design
6-8 weeks
Firms/operations ready to move immediately after assessment
Outcomes:
- Everything in Comprehensive
- Scoped pilot design for top use case with success metrics and team requirements
Why DOOR3?
We know legal systems
iManage. NetDocuments. Relativity. Aderant. Elite. Clio. Ironclad.
We have integrated and built on these platforms. We know where the data lives, how it flows, and where the AI layer needs to connect.
Generic consultants learn your systems during the engagement. We already know them.
We have the client logos
Kirkland & Ellis. Paul Weiss. Cleary Gottlieb. Wilson Sonsini.
We have built systems that AmLaw firms run their operations on.
When we assess your readiness, we benchmark against what the leading firms are actually doing, not what vendors are pitching.
Principal-led engagements
No junior consultants running the assessment while a partner shows up for the readout.
The people who assess your firm are the same people who would build in it.
Every Pathfinder engagement is led by DOOR3 principals with legal technology experience.
AI built for industries, where the stakes are too high to guess.
Most AI fails in production because it wasn't built for your industry's regulatory, legacy, and operational realities. We've spent 20+ years building the enterprise systems you run your business on. That's the difference.
AI Pathfinder for Insurance
AI built for your actual environment, not a demo. We map opportunities across claims, underwriting, and core ops, integrated with Duck Creek, Guidewire, and legacy systems.
See the Pathfinder for insurance
AI Pathfinder for Manufacturing
AI that works on the floor, not just in a pitch deck. We map opportunities across quality detection, predictive maintenance, and production planning, integrated with your ERP and MES.
See the Manufacturing PathfinderRequest legal pathfinder
30-minute confidential discussion with DOOR3's legal practice leadership. Your operational priorities, current challenges, preliminary assessment of opportunities.
