CLM selection, migration, and 18-month operating retainer
For an infrastructure conglomerate operating across six business units and two jurisdictions. Three integrations built in-house. Adoption stable at 87 percent twelve months after go-live.
Legaltech · End-to-end
Legaltech & AI
Strategy, architecture, build, integration, deployment, governance, and managed operations across CLM, DMS, e-discovery, document automation, knowledge management, and AI. Informed by inchambers.ai, the product we operate under the same roof.
Strategy, architecture, build, integration, deployment, governance, and managed operations across CLM, DMS, e-discovery, document automation, knowledge management, and AI. Informed by inchambers.ai, the product we operate under the same roof.
What we deliver.
Strategy and architecture
Roadmaps, technology architecture, build-versus-buy decisions, and the rationale that defends them. We separate the question of what to do from the question of which vendor to use.
Vendor and AI evaluation
Independent shortlisting and scoring against criteria the client owns. CLM, e-discovery, contract AI, document assembly, knowledge management, generative AI, agentic systems.
Build and integration
Custom development where the off-the-shelf product does not fit. API integrations across DMS, matter management, billing, and CRM. Workflow automation in Power Automate, n8n, and bespoke services. RAG pipelines, prompt engineering, and BYOK AI architectures.
Deployment and adoption
Pilot scoping, change management, training, and 30, 60, 90-day adoption tracking. Most deployments fail in the quarter after go-live. That is where we stay.
Governance and risk
AI governance frameworks, approved-use catalogues, data classification, retention, residency, and audit. Aligned to DPDP, GDPR, and sector-specific obligations.
Managed operations
Standing legaltech operations on retainer. CLM stewardship, AI prompt and pipeline maintenance, vendor renewal management, and the second-line operating cadence most teams do not have the headcount to run.
Representative work.
AI governance framework and approved-use catalogue
Spanning six legal workflows for a listed enterprise. Risk taxonomy, training curriculum, and an audit cadence that survives the original team rotating out.
BYOK AI legal assistant rollout
For an in-house team of forty lawyers, on a privacy-first architecture built on inchambers.ai. Eight document workflows automated. Full audit trail. Keys held by the client.
Document automation programme
For a regional disputes firm, on a Figma-to-PDF document automation stack with a custom review workflow built for legal. Two hundred and forty templates productionised, with managed maintenance on retainer.
What clients ask.
What is the scope of an engagement?
Varies. A strategy engagement might run six to ten weeks. A CLM selection and migration runs four to nine months. A managed-operations retainer is open-ended and reviewed at twelve-month intervals. Each engagement is scoped against a deliverable, a date, and a measurable outcome before we start.
Do you write code, or just advise?
Both. The bench is split between advisors and engineers, and the line between the two is porous. A single engagement can move from a vendor evaluation into a custom integration into managed operations without changing teams.
What is the relationship with inchambers.ai?
inchambers.ai is a product operated by Eutin Warren. Not a separate company. The firm’s advisory work is methodologically independent of the product. We hold no commission, no resale margin, and recommend the platform that best fits the client context, whether that is inchambers.ai or another vendor.
Do you sell software?
No. The advisory is fee-for-service. Software licensing relationships are direct between the client and the vendor.
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