Solutions/Legal/Legal AI Agent

IND-06Agent 01 of 00

Legal AI Agent

Scans every contract, watches every regulation — so your lawyers focus on what only a lawyer can do.

Days → minStandard contract review
Up to 70%Lower e-discovery review cost
Spec sheetIND-06-01
Industry
Legal
Channels
Document management · Email · Matter system
Deploys
Cloud, hybrid or on-premise
Control
Human approval where it matters
Pilot
Measured proof in 4 weeks

01 — The challenge today

Where the
time goes.

  • Manual contract review can't keep pace with deal volume.
  • Missed clauses create costly legal exposure.
  • Regulatory changes go untracked until it's too late.
  • E-discovery costs spiral on large matters.

02 — How the agent works

It acts —
not just answers.

Every step runs inside your systems and under your rules — with a person approving anything that matters.

  1. Ingests contracts and flags risky clauses against your approved playbooks.

  2. Surfaces relevant case law and statutes in seconds.

  3. Monitors regulatory feeds and auto-alerts on policy gaps.

  4. Classifies e-discovery documents by relevance and privilege.

03 — Business value

What it
pays back.

Outcomes your team can measure — not a demo that never leaves the lab.

Outcome 01

Faster review

days to minutes on standard contracts.

Outcome 02

Lower risk

no clause slips through unreviewed.

Outcome 03

Compliance coverage

regulatory changes caught automatically.

Outcome 04

E-discovery savings

review costs reduced by up to 70%.

A tireless legal analyst that works around the clock — so your team shows up for the work that actually needs a lawyer.

04 — Getting started

Proof in
four weeks.

We would rather prove one use case properly than describe five. Pick the process that hurts most — we will run it on your own data in four weeks.

  1. Week 1 · Scope

    One process, one team, one measure. Agree what “better” means — in hours, days or cost — and measure it before anything changes.

  2. Weeks 2–3 · Shadow

    The agent runs alongside your team on live work, with a person approving each action. Its output is compared honestly with what your team produced anyway.

  3. Week 4 · Measure

    Report against the baseline, agree the guardrails that stay and document what your team owns. Then decide whether the next process follows.

Three operating principles

Principle 01

Acts inside your systems

Works where the work already is — your core systems, documents, inboxes and channels. No new tool for your team to copy things into.

Principle 02

Bounded by your rules

Limits are set per process: what the agent may do on its own, what needs human approval and what it may never do. Anything outside the boundary goes to a person.

Principle 03

Reviewable and reversible

Every step is logged — what it read, what it changed, who was notified and when. Evidence you can use in audit and compliance reviews.

05 — FAQ

Questions,
answered.

The short answers buyers ask us most about the Legal AI Agent.

What does the Legal AI Agent do?

Scans every contract, watches every regulation — so your lawyers focus on what only a lawyer can do. Ingests contracts and flags risky clauses against your approved playbooks. Surfaces relevant case law and statutes in seconds.

Which problems does it solve for Legal teams?

Manual contract review can't keep pace with deal volume. Missed clauses create costly legal exposure. Regulatory changes go untracked until it's too late. E-discovery costs spiral on large matters.

What business value can we expect?

Faster review: days to minutes on standard contracts. Lower risk: no clause slips through unreviewed. Compliance coverage: regulatory changes caught automatically. E-discovery savings: review costs reduced by up to 70%.

Does a person stay in control?

Yes. The agent works within limits you set for each process: what it may do on its own, what needs human approval and what it may never do. Every action is logged, reviewable and reversible.

How quickly can it be deployed, and where does it run?

Most teams start with a four-week pilot: scope one process in week 1, run the agent alongside your team with human approval in weeks 2–3, and measure the results against the baseline in week 4. It works across Document management · Email · Matter system, and can be deployed in the cloud, hybrid or fully on-premise.

Your move

Specify
your agent.

Tell us the process that hurts most. We'll have an agent working on it within weeks.

Book a demo