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.

In this practice

What we do in Legaltech & AI

Governance · before it expands

AI Governance

The framework that lets a firm expand AI without creating exposure: an acceptable-use policy, input restrictions, output-review standards, and vendor due diligence, written for your obligations rather than lifted from a template.

Explore → MCP · connect the stack

MCP & Software Integrations

We connect Claude and other AI to the software a legal team runs on: DMS, CLM, practice management, and Microsoft 365. Using the Model Context Protocol, the AI works inside your systems instead of beside them in a separate window.

Explore → Review · due diligence at scale

AI Document Review

AI-assisted review for due diligence, disclosure, and contract analysis, set up so the output is checkable against the source, the privilege risk is contained, and a junior can stand behind every call the system makes.

Explore → Claude · deployed and governed

Claude for Law Firms

We stand up Claude for law firms and in-house teams, wired into the systems you already run, governed against privilege and confidentiality rules, and adopted by the people who actually have to use it. Not a browser tab the firm forgets about by month two.

Explore →

Capabilities

What Legaltech & AI delivers

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.

Engagements

Representative Legaltech & AI work

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.

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.

Common Questions

Common Legaltech & AI questions

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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