AtlasAI Services

Custom AI from AtlasAI engineers

Client teams receive custom agents built on client matters, precedents and procedures, and approve every output.

3-day free trial on one matter. No setup fee.

Context AtlasAI reads

FromiManageiManageSharePointSharePointNetDocumentsIntapp
MatterQ1 Vendor MSA ReviewIntapp
Firm positionLiability cap at 12 months of feesSharePointSharePoint
PrecedentMeridian Cloud Services MSAiManageiManage
AttorneyDana Chen, Partner, Private EquityIntapp

The attorney asks

Answer, with the source passage cited

Saved workflow on each new MSA, with the cited review placed in the morning queue

1Vendor_MSA_Playbook.docx · Clause 122Q1_Vendor_MSA_Review_memo.pdf · Section 3
Ready for attorney review
Production software

Production software in your environment

The team delivers software on the AtlasAI platform, so the client moves to production without a second purchase.

Cited search

The team builds private search with a citation on every answer.

Procedure workflows

The team encodes the documented procedure in agent workflows.

Model integration

The team integrates OpenAI, Anthropic and Azure models.

Beyond legal

Operations, finance and compliance teams

The team builds cited, logged systems for operations, finance, compliance, clinical, revenue and government teams.

Procurement workflows

The team builds procurement and SOP workflows.

Control evidence

The team builds policy mapping and control evidence systems.

Proposal drafting

The team builds proposal drafting and incoming MSA redlines.

How we work

Four phases to production

The team runs discovery, delivers a roadmap, builds for production and optimizes after launch.

Discovery workshops

The team runs discovery workshops and stakeholder interviews.

Evaluation criteria

The team delivers a roadmap with evaluation criteria.

Phase depth

The depth of each phase changes with the size of the organization.

How AtlasAI works

Understand the work

The team reviews the data, systems and workflows in workshops and interviews.

Set the strategy

The team delivers milestones, a target architecture, evaluation criteria and an integration plan.

Execute the build

The team builds from prototype to production with CI/CD and secure data patterns.

Optimize after launch

The team monitors performance, refines prompts and tools, and builds governance.

Questions attorneys ask

Which AtlasAI capabilities does the team adapt?

The team adapts tabular review, drafting and redlining in Word and on the web backed by client playbooks, model integration, and role-based training and rollout plans.

Where does the team deploy?

The team deploys on Azure, AWS, Vercel, on premises or in a hybrid environment.

Describe your daily work

An AtlasAI engineer assesses where AI can help and where AI cannot help yet.

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