Legal

Turn Legal Into an AI-Native Decision Function

Production-grade AI agents that connect contracts, precedents, policies, legal knowledge, and team judgment to help legal teams review faster, manage risk more consistently, and make better decisions.

See How It Works

Production-grade · Human-controlled · Built around your legal standards

A CRM account card, calendar, call waveform, documents, intent signal, and pipeline connected around a central orb.

One intelligence layer across your legal stack

Shared legal context for every contract, decision, and workflow. Your existing legal systems remain the source of truth. The AI layer connects the context, precedents, workflows, and judgment around them.

Modern glass business headquarters at dusk with blue and violet light.

Contracts & Matters context


  • Contract Repository
  • Matter Management
  • Document Management
  • Signature Platforms
  • Legal Intake

Business Systems context


  • CRM
  • Procurement
  • ERP
  • HRIS
  • Finance Systems

Communication context


  • Email
  • Team Messaging
  • Meetings
  • Calendar

Legal Knowledge context


  • Historical Contracts
  • Approved Clauses
  • Policies & Playbooks
  • Past Negotiations
  • Legal Opinions
  • External Legal Sources

From Contract Review to Legal Intelligence · Review · Risk · Precedent · Drafting · Negotiation · Legal Operations

AI that helps legal teams understand what matters, what is unusual, and what should happen next.

Contract Review

Analyze incoming agreements, identify important clauses, surface deviations, and focus legal attention where it matters most.

  1. Analyze incoming agreements
  2. Identify important clauses and surface deviations
  3. Focus legal attention where it matters most
Precedent Intelligence

Search across historical contracts and past decisions to identify relevant precedent, including unusual and rarely encountered cases.

  1. Search historical contracts and past decisions
  2. Identify relevant precedent, including unusual and rarely encountered cases
Redlining

Generate context-aware redlines directly from your preferred language, policies, historical positions, and risk standards.

  1. Use preferred language, policies, historical positions, and risk standards
  2. Generate context-aware redlines
Risk Analysis

Identify legal, commercial, operational, and policy risks and explain why they matter.

  1. Identify legal, commercial, operational, and policy risks
  2. Explain why they matter
Negotiation Support

Prepare fallback positions, alternative clauses, negotiation rationale, and decision options.

  1. Prepare fallback positions and alternative clauses
  2. Prepare negotiation rationale and decision options
Legal Operations

Support intake, routing, knowledge capture, approvals, matter tracking, and recurring legal workflows.

  1. Support intake, routing, knowledge capture, and approvals
  2. Support matter tracking and recurring legal workflows
Representative workflow

Contract Review

  1. Analyze incoming agreements
  2. Identify important clauses and surface deviations
  3. Focus legal attention where it matters most

Action routing stays conditional. Policy and available evidence determine whether work can proceed, needs review, or should pause.

AutoReviewEscalate

The Legal operating layer

See how your Legal AI agents work together.

Connected contracts. Shared legal context. Precedent intelligence. Human-controlled decisions.

Connected Systems / Integrations

external context

Contracts & Matters

  • Contract Repository
  • Matter Management
  • Document Management
  • E-Signature
  • Legal Intake

Business Context

  • CRM
  • Procurement
  • Finance
  • HR
  • ERP

Communication

  • Email
  • Team Messaging
  • Meetings
  • Calendar

Legal Knowledge

  • Historical Agreements
  • Clause Libraries
  • Negotiation History
  • Policies & Playbooks
  • Legal Opinions
  • External Legal Sources

Representative examples we build for legal teams

Core Agent Architecture

A connected operating layer across your legal function.

Contract Intelligence Agents

1
Contract Review Agent

Key terms, deviations, missing protections, and areas for legal attention.

2
Precedent Intelligence Agent

Relevant historical contract and decision precedents for a negotiation.

3
Rare Precedent Agent

Unusual or infrequent historical cases that may affect the legal position.

Drafting & Negotiation Agents

4
Smart Redline Agent

Suggested redlines based on approved language, precedent, and business context.

5
Clause Drafting Agent

Alternative wording, fallback positions, and options aligned with legal standards.

6
Negotiation Support Agent

Deviation explanations, response suggestions, and negotiation rationale.

Risk & Decision Agents

7
Legal Risk Agent

Contract risks across legal, commercial, privacy, security, operations, and finance.

8
Escalation Agent

Deviations for standard playbooks, senior legal judgment, or business approval.

9
Legal Decision Support Agent

Contract language, precedents, policies, risks, and trade-offs for legal decisions.

Legal Operations Agents

10
Intake & Triage Agent

Legal request classification, missing information, routing, and prioritization.

11
Legal Knowledge Agent

Reusable intelligence from contracts, opinions, negotiations, and team knowledge.

12
Legal Reporting Agent

Summaries of risks, negotiation patterns, deviations, matter status, and workload.

Shared Legal Platform

Workflow orchestration

Coordinates intake, routing, approvals, matter tracking, and recurring legal workflows.

Shared legal context

Connects contracts, precedents, policies, business context, and team judgment.

Prompting & reasoning

Applies approved language, legal standards, risk logic, and negotiation positions.

Testing & QA

Validates outputs against experienced lawyers.

Human review

Lawyers accept, edit, reject, or escalate suggested changes.

Rollout controls

Keeps sensitive legal knowledge governed and important decisions traceable.

Actions can run automatically, request review, or pause for an exception based on policy and available evidence.

What each agent does12 full descriptions

Contract Intelligence Agents3 agents

  • 1
    Contract Review Agent

    Reads incoming agreements, identifies key terms, deviations, missing protections, and areas requiring legal attention.

  • 2
    Precedent Intelligence Agent

    Searches historical contracts and decisions to identify the most relevant precedent for the current negotiation.

  • 3
    Rare Precedent Agent

    Surfaces unusual or infrequent historical cases that may materially affect the legal position.

Drafting & Negotiation Agents3 agents

  • 4
    Smart Redline Agent

    Generates suggested redlines based on approved language, precedent, business context, and the legal team’s preferred negotiation position.

  • 5
    Clause Drafting Agent

    Creates alternative wording, fallback positions, and negotiation options aligned with internal legal standards.

  • 6
    Negotiation Support Agent

    Explains why a deviation matters, suggests the appropriate response, and prepares the legal rationale for negotiation.

Risk & Decision Agents3 agents

  • 7
    Legal Risk Agent

    Evaluates contractual risks across legal, commercial, privacy, security, operational, and financial dimensions.

  • 8
    Escalation Agent

    Determines which deviations can follow standard playbooks and which require senior legal judgment or business approval.

  • 9
    Legal Decision Support Agent

    Assembles the relevant contract language, precedents, policies, risk factors, and trade-offs around an important legal decision.

Legal Operations Agents3 agents

  • 10
    Intake & Triage Agent

    Classifies legal requests, identifies missing information, routes matters, and prioritizes based on urgency and risk.

  • 11
    Legal Knowledge Agent

    Turns contracts, legal opinions, negotiation outcomes, and team knowledge into reusable institutional intelligence.

  • 12
    Legal Reporting Agent

    Creates summaries of open risks, negotiation patterns, recurring deviations, matter status, and legal workload.

Primary Users & Outcomes

Representative legal workflows

Users

  • General Counsel
  • Chief Legal Officer
  • Legal Operations
  • Commercial Lawyers
  • Privacy & Compliance Teams
  • Procurement Legal
  • Business Stakeholders

Outcomes

  • Faster contract review
  • More consistent legal decisions
  • Stronger risk management
  • Better negotiation preparation
  • Greater legal capacity
  • Institutional knowledge retention
  • More efficient business support

The Digital Lawyer Persona

Turn your legal team’s judgment into reusable intelligence.

The goal is not to create a generic AI lawyer. It is to build a Digital Lawyer Persona that learns how your legal team works.

How does the team evaluate risk?

Which clauses are usually acceptable?

Which deviations trigger escalation?

Which precedents matter most?

How aggressive or conservative is the team in negotiation?

What language does the team prefer?

Which trade-offs are acceptable in different business situations?

Over time, the system becomes increasingly aligned with the way your lawyers actually think and work. Historical contracts → legal decisions → team judgment → reusable legal intelligence The AI prepares. The lawyer decides.

From Incoming Contract to Review-Ready Redlines

Turn contract review into a connected intelligence workflow.

Legal workspace
Shared context
Decision view

Context before the next step

  • Incoming contract

    The system reads the agreement and identifies the relevant document structure, clauses, commercial context, and key obligations.

  • Compare

    It searches historical contracts, legal standards, approved clauses, and negotiation history.

  • Find precedent

    It identifies both common patterns and rare precedents that may be relevant.

  • Assess risk

    It evaluates deviations against the legal team’s risk model and escalation rules.

  • Draft

    It prepares suggested redlines and alternative language.

  • Explain

    It shows why each change is recommended and which precedent or policy supports it.

  • Review

    The lawyer accepts, edits, rejects, or escalates.

  • Learn

    The final decision becomes part of the system’s future legal context.

Grounded work. Sources and action context stay visible beside the decision.

The lawyer remains in control of every change.

How We Work

Start with one legal workflow. Build the intelligence to scale.

Choose one high-value legal workflow, connect shared legal context, and validate outputs through real decisions.

  1. 01
    One workflow connected to the shared foundation

    Start

    Choose one high-value legal workflow. Map the contracts, systems, policies, precedents, decisions, escalation rules, and human approval points.

  2. 02
    Additional workflows connected to the same foundation

    Expand

    Connect shared legal context and activate additional agents and workflows on top of the same foundation.

  3. 03
    Connected workflows running together

    Run

    Validate outputs against experienced lawyers, refine the system through real decisions, and expand automation as quality and trust are proven.

Human + Machine, One Intelligence.

AI prepares the legal intelligence. Lawyers own the judgment.

AI agents read, compare, search, analyze, draft, and recommend. Lawyers interpret context, weigh risk, negotiate, approve, and make the final decision.

  • Lawyers remain in control
  • Redlines remain reviewable
  • Recommendations remain grounded in precedent
  • Sensitive legal knowledge stays governed
  • Important decisions remain traceable

Evidence sets the route

Automation is conditional. The action, its sources, and the team’s policy determine what happens next.

Human control stays visible
Grounding checkApproved context & evidence

Check that the source is relevant, current, and sufficient for this action.

Source Policy Confidence

Auto

Within policy and grounded in approved context.

Proceed within the agreed boundary

Review

A person is required for this action or audience.

Route to the right owner

Escalate

Evidence is missing, conflicting, or outside policy.

Pause and surface the exception

Insufficient source? Pause the action, surface what is missing, and send the case for resolution.

Traceable outcomeEvidence → route → decision → result
EvidenceAction pathOwnerOutcome

A system design example. Review is required only when the action or policy calls for it; source failures follow an exception path.

Build an AI-Native Legal Function

What would change if every lawyer had access to the team’s best judgment?

Tell us the legal workflow you want to transform. We’ll map the opportunity, connect the relevant contracts, precedents, and legal knowledge, and build the first production AI workflow around measurable business impact.

See How We Work