AI-Native Technology Consulting

Let AI do
your proposal drafts.while your team
focuses on what matters.

Decades of deep engineering experience. End-to-end AI systems built into how your firm already operates.

90% of legal grunt work automated — attorneys stay in the loop on every output.

Book a Free Legal AI Discovery Call See how it works

80%

Average task time reduction across engagements

30d

First measurable outcomes delivered within 30 days

100%

Team adoption - built into tools your team already uses

0Downtime

Downtime. Phased rollout - your business never stops.

Taking on 3 new engagements this quarter - discovery calls open

Experience earned in complex environments

The problem

Your attorneys are spending most of their day on work that shouldn't require a JD.

The legal industry is at an inflection point. Growing firms have nearly doubled revenue since 2020 with only a 50% increase in headcount — by automating what shouldn't need a lawyer. Your attorneys are still drafting the same proposal from scratch for the fifth time this month. That's not lawyering. That's administration.

The tools exist. The problem is that nothing has been built for how your firm actually works.

01 — The Repetition Problem

Your attorneys are rebuilding the same documents over and over.

Proposals, contracts, legal memos — 80% of any new document already exists in something your firm has written before. Yet every one gets drafted from scratch, reviewed from scratch, billed from scratch. That's not expertise, that's inefficiency.

02 — The Data Privacy Problem

Your clients' data can't go into ChatGPT. So your team uses nothing.

41% of lawyers cite data privacy as their top AI concern. Generic tools require feeding in confidential client data to get useful output. So most firms end up not using AI at all — or using it in ways that create liability.

03 — The Adoption Problem

Every new tool your firm buys sits unused within 90 days.

Legal teams don't have time to learn new platforms. If the AI doesn't work inside the tools they already use — their email, their document editor, their existing templates — it won't get used.

"Growing firms leverage automation nearly three times more than shrinking firms — without adding headcount."

That's from Clio's 2026 Legal Trends Report, based on data from tens of thousands of US law firms. The divide is already happening. The firms pulling ahead aren't hiring more associates. They're building AI into how their work actually gets done — on their data, in their workflow, with human sign-off on every output.

How we work

From case intake to client delivery — AI handles the assembly. Your attorneys handle the judgement.

Every engagement starts with understanding your business from the inside - your processes, your tools, your team. Then we build phase by phase, so you see real outcomes fast without betting the whole operation on a single rollout.

Phase 01

Days 1 - 5

Discover

We map every repeating document and workflow in your firm. Proposals, contracts, legal Q&A, entity registration. We identify which 80% is repetition — and build the strategy to automate it.

Deep-dive interviews with your team

End-to-end process mapping

Prioritised opportunity identification

Phased AI strategy with clear ROI targets

Phase 02

Phased Rollout

Build

We ingest your existing documents, contracts, and client comms into a private data pipeline. Fine-tuned models + RAG on your firm's own data. Everything works inside Gmail and Google Docs — or whatever your team uses today. No new software.

Custom AI agents, not off-the-shelf

Embedded into tools you already use

Deterministic pipelines where possible

Human approval on every AI output

Phase 03

Ongoing

Evolve

Every approval and rejection trains the system. Real-time law citation APIs keep outputs current. Human review stays in the loop — always. The system gets smarter every week.

User testing and rapid iteration

Learns from approvals and rejections

Continuous new data ingestion

Real-time integrations with live data

Work

Built, shipped,
measured.

Healthcare Technology

BrainCompass by Intelliscape

Built a HIPAA-compliant AI platform replacing a 40-minute manual clinical process — embedded directly into existing workflows. Same engineering approach we apply to legal document automation.

View project

Research-backed impact

“Harvard Law School CLP research found that AI-assisted complaint response systems reduced associate time from 16 hours to 3–4 minutes on high-volume litigation matters.”

Source: Harvard Law School Center on the Legal Profession, 2026

Open slot

Mid-market law firm engagement active.

Automated proposal generation, contract assembly, legal Q&A — 90% of grunt work eliminated. Case study publishing Q2 2026.

Start a conversation

Engineering depth

We don't advise on tech.
We build it.

AI & Agents

LLM Fine-tuningRAG PipelinesAgent OrchestrationGuardrailsOpenAIAnthropicLlamaLangChainVector DBs

Cloud & Infrastructure

AWSGCPAzureKubernetesDockerTerraformMicroservicesServerless

Engineering

PythonJavaNode.jsReactFastAPIREST / GraphQLPostgreSQLRedis

Security & Compliance

HIPAASOC 2On-Prem AIData GovernanceEncryptionAccess ControlAudit Logs

Data & Analytics

Data PipelinesETLKafkaSparkSnowflakeBigQuerydbtAirflow

Integrations

Google WorkspaceMicrosoft 365SalesforceHubSpotSlackEHR SystemsBrowser AgentsCustom APIs

MLOps & Deployment

Model DeploymentHybrid CloudCI/CDMonitoringA/B TestingModel VersioningRollbacks

Workflow Integration

Zero New ToolsExisting UIGmail AgentsDocs AgentsCRM AgentsVoice AgentsWeb Scrapers

The team

Builders who've been on
both sides of the table.

Vaarun Sinha

AI & Product Engineering

A serial builder with multiple startups shipped and deep, hands-on AI and agent engineering experience. Has seen the gap firsthand - mid-market companies with real AI budgets and no trusted partner to actually build what they need. Combines startup execution speed with production-grade engineering standards.

AI AgentsLLM EngineeringStartupsFull StackProduct

Vinod Sharma

Enterprise Architecture & Cloud

30+ years inside the world's most demanding technology environments - IBM, Morgan Stanley, PepsiCo, Northwestern Mutual, Bank of Tokyo Mitsubishi. Knows what breaks at scale, what decisions age badly, and what it takes to build systems that last. Brings enterprise-grade architecture thinking to every engagement.

IBMMorgan StanleyCloud ArchitectureEnterprise Systems30+ Years

Our guarantee

You don't commit until
you've seen it work.

Proof of concept first. Payment later.

Every engagement starts with a focused proof of concept - we take one real problem from your business and solve it. If you're not satisfied, we return the consulting fee. No conditions. No questions.

You see real results before committing to a full engagement

Unsatisfied with the POC? Full refund, no questions asked

Phased rollout - you control the pace and the risk

First outcomes visible within 30 days of engagement start

We don't give you a deck and disappear.

We're engineers. We stay in the build until the system is running, adopted, and improving. Strategy without execution is just a slide.

Your data stays yours, always.

All data governed in-house. Hybrid architecture - your sensitive information never leaves your control, even when runtime is in the cloud.

No adoption risk.

We build into tools your team already uses. If they use Gmail, the AI agent uses Gmail. Zero new software. Zero resistance to change.

Ready to see what AI can take off your attorneys' plates?

We'll map one legal workflow in your firm — proposals, contracts, or client Q&A — and show you exactly how we'd automate it. You see results before you commit.

Free 30-min discovery call

We map one process and show you the opportunity

Proof of concept first

We solve one real problem before you commit

Satisfaction guaranteed

Not satisfied with the POC? Full refund, no questions

Book Your Free Discovery Call

Let AI doyour proposal drafts.while your teamfocuses on what matters.