In-House Matters: A Complete Handbook for the Modern General Counsel. Explore the book

 
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We make Legal AI
work for you.

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CONTEXT

From access to capability.

Most in-house teams already use some form of AI for work. The challenge is to make it effective and demonstrate value to the business and the Board.

THE JOURNEY

From understanding to scale.

1

UNDERSTAND

Ascertain organisational needs and its readiness towards legal AI

2

IDENTIFY

Explore options to identify the right AI tool or platform

3

ASSESS

Assess fitment towards identified tools — technological, cultural, and financial

4

IMPLEMENT

Pilot and validate outcomes

5

ADOPT & SCALE

Expand value

01

PLATFORM PARALYSIS

Specialist AI or generic AI with plug ins? Deciding between models can take up more time than the work the platform is expected to do.

02

CAPABILITY MISMATCH

Assistive, agentic, and autonomous AI solve different problems. Choosing the wrong capability creates complexity without value.

03

ADOPTION GAP

A tool alone changes nothing. The challenge is getting lawyers to use it, trust it, and incorporate it into workflows.

04

HIDDEN RISKS

Responsible AI is more than a policy. Teams need governance and guardrails to manage confidentiality, compliance and organisational risk.

WHY US

The Counselect advantage.

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COMPLETE PICTURE

Legal workflows, AI capability, Privacy & Responsible AI. Most providers focus on one. We bring all three together.

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VENDOR NEUTRAL

No tools to sell and no quotas to meet. We track the market through Legal Tech Tracker, but we always start with the problem, not the product.

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PROCESS FIRST

AI fits a process; it cannot fix a broken one. We improve the way work gets done before introducing technology.

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SOLVING FOR LEGAL

Our background is in legal ops, not software sales. We understand how in-house teams work, the pressures they face, and what it takes to make change stick.

cisco
linked-in
uber
airbnb
exonmobil
gsk

CASE STUDIES

Success stories.

50% reduction

in deviation handling time

AI-Powered Contract Playbooks for a Global Tech Company

Challenge

Client had invested in tools but lacked negotiation positions and institutional knowledge for consistent high-volume negotiations.

Solution

Built three AI-ready contract playbooks combining market-standard positions with third-party contract analysis. Designed for both lawyers and AI tools.

Result

Faster, more consistent negotiations. 50% reduction in time handling deviations. Three playbooks in two months. Fully integrated by month four.

3,500 contracts

digitised in 90 days

AI-Enabled Contract Digitisation for a Global SaaS Leader

Challenge

CFO needed commercial obligations and legal risk data extracted from 3,500 contracts. Legal team had no tooling, no process, no capacity.

Solution

Selected the right legal AI platform, designed repository structure, defined 95 metadata fields, built extraction methodology.

Result

3,500 contracts transformed into structured, searchable data in 90 days. Legal team stayed focused on their day jobs.

Within weeks

governance framework established

AI Risk and Governance Readiness for an AI-Powered Fintech

Challenge

AI-powered fintech moving quickly into live engagements without legal team or governance framework. AI risk scrutiny increasing from clients.

Solution

Ran AI governance sprint, mapped AI across product and development process, created visual blueprint of AI footprint. Identified key risks.

Result

Clear AI landscape view, prioritised action plan, and shareable AI governance policy — all without a legal team.