NEWLAW.COM
AI Strategy & Advisory

Your firm deserves AI that actually works

The AI landscape in legal is evolving faster than any firm can track alone. Built-in AI features, standalone foundational models, purpose-built legal tools β€” the options are overwhelming and the marketing is relentless.

We sit at the bleeding edge of what works and what does not. Our advisory ensures your firm adopts the right AI capabilities β€” without paying twice for overlapping features or exposing yourself to unnecessary risk.

The Problem

Most firms are getting AI wrong

The rush to adopt AI has created a market full of overlapping tools, inflated promises, and firms paying for capabilities they already have. Without independent guidance, it is easy to waste budget, create compliance risks, and end up with tools nobody uses.

Buying AI tools your existing software already includes

Most modern practice management systems now include AI-powered features like document summarisation, email drafting, and matter analysis. Firms frequently purchase standalone AI tools that duplicate these capabilities β€” paying twice for the same functionality.

Adopting AI without governance or disclosure policies

Using AI to draft client communications or analyse matters without proper policies creates regulatory risk. Firms need clear frameworks for when AI can be used, how output is reviewed, and what clients are told.

Rolling out AI firm-wide without a structured pilot

Firm-wide AI deployments without testing lead to low adoption, wasted spend, and frustrated staff. A structured pilot with clear metrics lets you prove value before scaling β€” and gives your team time to build confidence.

Choosing AI tools based on marketing rather than fit

The legal AI market is saturated with impressive demos that do not reflect real-world performance. We help firms cut through the noise and evaluate tools based on accuracy, integration, and genuine workflow improvement.

0%

Average savings on AI-related spend after audit

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Per lawyer per week saved with optimised AI workflows

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Faster document review with the right AI tools

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Of firms overpay for overlapping AI features

What We Cover

Eight pillars of AI strategy

Our AI advisory engagements are tailored to your firm's maturity and ambitions. We work across eight interconnected areas β€” each designed to deliver measurable value while managing risk.

AI Readiness Assessment

Before investing in AI, you need to know where you stand. We audit your current technology stack, data maturity, and team capabilities to build a clear picture of your firm's AI readiness β€” identifying quick wins and foundational gaps that need addressing first.

Key Outcomes
Current-state AI maturity scorecard
Data quality & readiness report
Quick-win opportunity register

Built-in AI vs Standalone Evaluation

Most practice management and document systems now ship with AI features baked in. Before you buy a separate AI tool, we evaluate what your existing platforms already offer β€” ensuring you are not paying twice for the same capability under a different name.

Key Outcomes
Feature overlap analysis
Licence cost comparison
Build vs buy recommendation

Foundational Model Strategy

GPT, Claude, Gemini, Llama β€” the foundational model landscape changes monthly. We help your firm understand which models suit which use cases, how to evaluate accuracy and risk, and when to use a general-purpose model versus a legal-specific one.

Key Outcomes
Model comparison matrix
Use-case mapping by model
Accuracy & hallucination risk assessment

Cost Optimisation & Feature Overlap

AI vendors are bundling features aggressively, and firms are unknowingly paying for the same capabilities across multiple subscriptions. We map every AI feature across your stack and eliminate redundancy β€” often saving firms 30–50% on AI-related spend.

Key Outcomes
AI spend audit
Redundancy elimination plan
Optimised licensing structure

AI Governance & Ethical Use

Using AI in legal practice carries real regulatory and ethical risks. We help your firm develop clear policies on AI use, client disclosure, data handling, and quality assurance β€” ensuring you stay compliant with your professional obligations and ahead of emerging regulations.

Key Outcomes
AI acceptable use policy
Client disclosure framework
Quality assurance protocols

Pilot Programme Design & ROI

The best way to evaluate AI is to test it in a controlled environment. We design structured pilot programmes with clear success metrics, helping your firm measure real productivity gains before committing to a full rollout β€” no hype, just data.

Key Outcomes
Pilot programme blueprint
KPI & measurement framework
Go/no-go decision criteria

Staff Training & Adoption

AI tools are only as effective as the people using them. We design role-specific training programmes that build confidence and competence β€” from partners who need to understand AI's strategic value to associates who will use it daily in their workflows.

Key Outcomes
Role-specific training curriculum
Internal champion programme
Adoption tracking dashboard

Prompt Engineering & Workflow Integration

Getting useful output from AI requires more than typing a question. We build custom prompt libraries, integrate AI into existing workflows, and design quality-check processes that ensure AI output meets the standard your clients expect.

Key Outcomes
Custom prompt library
Workflow integration blueprints
Output quality assurance process
Our Approach

Vendor-agnostic. Evidence-based. Practitioner-led.

We do not sell AI tools. We do not take commissions from vendors. When we recommend a solution, it is because the evidence supports it β€” informed by hands-on experience across every major legal AI platform and foundational model.

Our advisory team includes practising lawyers, former law firm technology directors, and AI specialists who have evaluated and implemented AI tools across firms of every size β€” from boutique practices to national firms with hundreds of staff.

We test every tool we recommend in real legal workflows before suggesting it to clients. If it does not deliver genuine productivity gains in practice, it does not make our shortlist β€” regardless of how impressive the demo looks.

01

Audit Your Current State

We map every AI feature across your existing stack β€” identifying what you already have, what you are paying for, and what is actually being used by your team.

02

Identify Genuine Gaps

We separate real productivity opportunities from vendor marketing. Not every firm needs every AI tool β€” we identify the specific capabilities that will move the needle for your practice.

03

Design a Practical Roadmap

We deliver a clear, phased AI adoption plan with specific tool recommendations, cost projections, governance requirements, and expected ROI β€” no jargon, no hype.

04

Pilot, Measure & Scale

We run structured pilots with clear success metrics, train your team, and only recommend scaling when the data proves the value. If a tool does not perform, we pivot β€” fast.

Real-World Scenarios

Where AI strategy makes the difference

The Duplicate Spend Problem

A 60-person commercial firm was paying for three separate AI tools β€” a standalone document review platform, a legal research assistant, and an AI drafting tool. After our audit, we discovered their practice management system already included comparable features for document summarisation and drafting.

Outcome

Eliminated two redundant subscriptions, saving $45,000 annually while improving adoption by consolidating to fewer tools.

The Governance Gap

A family law practice had associates using ChatGPT to draft client correspondence without any firm policy or quality review process. Partners were unaware of the extent of AI use and the potential risks around confidentiality and accuracy.

Outcome

Implemented an AI acceptable use policy, client disclosure framework, and quality review process β€” turning unmanaged risk into a competitive advantage.

The Failed Rollout

A mid-tier firm purchased an enterprise AI contract review platform after an impressive sales demo. Six months later, adoption was below 10% β€” the tool did not integrate with their document management system and required significant manual effort to use.

Outcome

We helped the firm exit the contract, identified a better-fit solution that integrated natively with their existing stack, and ran a structured pilot before committing.

Who We Help

Built for firms ready to adopt AI strategically

Mid-size & National Firms

Firms with 20–200+ staff who want to adopt AI strategically β€” maximising productivity without creating compliance risks or duplicating spend across practice groups.

Boutique & Specialist Practices

Smaller firms that want to leverage AI to compete with larger competitors β€” using the right tools to punch above their weight without the overhead of a dedicated innovation team.

In-house Legal Teams

Corporate legal departments looking to integrate AI into their workflows, improve reporting to the business, and demonstrate the efficiency gains that justify further technology investment.

Interactive Assessment

How AI-Ready Is Your Firm?

Take our 2-minute assessment to discover where your firm stands on the AI readiness spectrum and get personalised recommendations for your next steps.

AI Readiness Assessment

Answer 7 quick questions about your firm's current AI capabilities. You will receive a personalised readiness score with tailored recommendations β€” takes about 2 minutes.

2 min
7 questions
Personalised report

 

Start with a free, no-obligation AI strategy conversation. We will review your current stack, identify quick wins, and outline how a structured AI advisory engagement could help your firm work smarter.