Introduction: The New Mandate for Legal Ops
You’ve been tasked with “finding AI efficiencies” for your in-house legal team. It sounds simple enough - until you open the floodgates of vendors, buzzwords, and marketing that over-promises and under-delivers.
In reality, the AI tools marketplace for legal and compliance teams is chaotic. Everyone’s selling “AI transformation,” yet tech solutions on their own rarely actually deliver measurable business value. Under pressure to move fast, many legal operations leaders risk wasting spend, eroding trust, and missing the chance to lead strategically.
But done right, AI adoption can turn Legal Ops into one of the most valuable strategic partners in the business - accelerating compliance, enabling smarter risk management, and freeing your team to focus on higher-value work.
Our “Buying Bible” cuts through the noise. You’ll find practical frameworks, questions, and examples to help you:
Identify the right use cases for AI in your legal function
Evaluate and select vendors with confidence
Build the business case and measure ROI
Drive adoption and demonstrate impact
In other words, this is your guide for buying (and seamlessly implementing)
AI tools that actually work.
Watch the full podcast episode on YouTube
You’ve Been Told to Find an AI Tool - Where Do You Start?
Before you buy anything, get clear on the problem you’re solving. Too many teams start with a tool in mind instead of a pain point - and end up with shelfware instead of solutions that drive step-change.
Step 1
Define Your Problem Clearly
Start by interviewing your GCs or senior stakeholders. What’s the single most time-consuming, repetitive, or error-prone task draining your team’s time?
Here are a couple of common use cases identified in Haast’s enterprise clients:
Reviewing marketing materials for compliance deviations
Organizational self service for contracts and documents
Reviewing third-party contracts
Legal knowledge and contract data management
Contract intelligence
Step 2
Prioritize Use Cases for Quick Wins
From these initial conversations - hone in on one repeatable, measurable workflow.
Look for:
Low-risk
Doesn't expose sensitive or novel legal areas
Step 3
Quantify ROI Before You Start
Many legal teams struggle to have a clear discussion about ROI because their current challenges are largely manual. Measuring the “before” state accurately, especially when work is ad hoc or undocumented, can be difficult.
While AI solutions can unlock significant efficiencies, it’s important to set realistic expectations. AI is not a magic wand that instantly transforms legal operations. It still depends on sound processes, quality data, and human oversight to deliver value.
Teams that achieve the strongest ROI are those that start with:
A role for human judgement
Design AI to augment, not replace, people
Doing this analysis upfront not only strengthens your business case but also supports rollout and adoption - because you’re clear on what success looks like and how you’ll measure it.
Finally, set a simple ROI framework early. You might calculate two baselines:
This provides a tangible way to demonstrate value as automation and efficiencies take effect.
A few example formulas we’ve seen work for our clients:
And increasingly, legal teams are pairing these efficiency gains with revenue-linked metrics. Faster approvals and fewer bottlenecks allow customer-facing teams to launch campaigns, offers, and product updates earlier - which directly influences commercial outcomes. For example:
Even directional numbers help anchor expectations and demonstrate that Legal isn’t just reducing cost -it’s actively enabling growth.
Cutting Through the Noise: Understanding the Legal Tech and AI Marketplace
Over the past 12 months, the legal tech market has exploded. It’s become impossible for any Legal Ops function to keep up, plus be able to easily decipher loud marketing vs. tools that will actually deliver value.
An easy framework to begin assessing the marketplace is to split solutions into ‘Generic AI’ and ‘Domain specific AI for legal.”
Generic AI refers to large language models (LLMs) and general-purpose AI platforms that can be applied to multiple use cases. Popular foundational models include: Open AI’s GPT, Anthropic’s Claude, Google’s Gemini, Microsoft’s Copilot
Domain Specific AI for legal is when a tool is built for distinct legal workflows and use cases.
Some examples of legal agents that can be used are for:
Information retrieval (surface material from large datasets)
Drafting assistance (generate first-pass contracts, clauses and legal docs)
Reviewing documents (checking for organization and regulatory compliance.)
Generic AI vs. Fit-for-Purpose Legal AI
The legal world isn’t short on AI tools - but not all AI is created equal. While large language models (LLMs) like ChatGPT or Microsoft Copilot have transformed general productivity, they fall short when applied to the precision, risk sensitivity, and contextual nuance of legal and compliance work.
Legal Ops leaders often learn this the hard way: what starts as a promising proof of concept quickly stalls in production when generic AI struggles to understand the fine print - literally.
Why Generic AI Falls Short for Legal and Compliance Teams
1. Random or Irrelevant Risk Flagging
General AI tools aren’t trained to understand your organization’s unique risk profile. They often flag harmless language while missing subtle regulatory red flags. This inconsistency creates more manual reviews, not fewer - undermining the very efficiency AI was meant to deliver.
2. No Memory of Prior Decisions
Generic AI models start from scratch each time you use them. They don’t retain previous feedback or learn your organization’s approval logic. For compliance teams, that means re-teaching the same rules over and over again, making consistent analysis impossible at scale.
3. Workflow Disruptions and Manual Handoffs
Most general-purpose AI tools sit outside established review systems. Users end up copying and pasting text between platforms - breaking process continuity and creating audit gaps. In regulated environments, this isn’t just inefficient; it’s risky.
"Generic copilots are built for general productivity, not precision. Legal teams need AI that can reason in the language of risk."
Kunal Vankadara
Co-founder, Haast
Purpose-built AI (like Haast for marketing compliance) is fine-tuned to your organization’s rules, tone, and risk appetite -delivering far higher accuracy and trust.
A Glimpse at the Legal Tech Market
Choosing the Right Vendor: How to Run a Smart RFP
Even experienced Legal Ops leaders can get overwhelmed during vendor evaluation. The key is to keep your use case as your north star - and don’t get drawn into an endless feature list.
5 Questions to Ask Every Vendor
1. What’s your typical time-to-value post-implementation?
Why? Speed matters - especially when building internal credibility.
2. What’s included in onboarding and change management support?
Why? Adoption often fails because enablement is thin.
3. What integrations are available out of the box?
Ask about your core systems - Matter management, enterprise workflow, contract management, Slack, SharePoint, Teams, digital asset management (DAM)
4. Can we speak with current enterprise clients directly?
Why? Real feedback beats polished case studies.
5. How do you measure client ROI?
If they can’t quantify success, that’s a red flag.
Hidden Costs to Watch For When Assessing Vendors
Remember, subscription costs are not the final price tag. Implementing new software comes with a lot of required internal resource, so also consider:
Implementation effort and internal IT dependencies
Data preparation and migration
Change management and user training
Decision Matrix Template
Use our decision matrix table below to help with vendor assessment.
Clear ROI Metrics
15%
5
4
3
Encourage teams to score collaboratively - then document rationale. It keeps selection transparent and defensible.
Driving Adoption and ROI
Even the smartest legal tech tool fails without people, process, and purpose. And a business’s Legal Ops function sits at the heart of adoption - you’re not just a tech buyer; you’re the internal change manager.
Securing formal project approval at the outset is essential for any legal-tech implementation, but it becomes especially critical when the organization is planning a staged rollout. Clear approval establishes ownership, budget certainty, and executive sponsorship - each of which is needed to overcome the inertia that often slows technology projects in legal teams. Without alignment from key stakeholders early on, even highly valuable solutions can stall due to competing priorities, risk concerns, or unclear accountability. Anchoring the project in an agreed-upon business case and governance structure ensures that every stage of deployment has the authority and resourcing required to progress.
A structured implementation plan is equally vital. Staged rollouts only deliver their intended benefits - controlled risk, iterative learning, and rapid early wins -when the roadmap is deliberately designed and communicated across the organisation. This includes defining scope for each phase, selecting pilot groups, identifying success measures, and outlining how learnings will feed into subsequent stages. A well-sequenced plan also helps manage change fatigue by giving users a clear view of what is coming next and why. Ultimately, strong project approval supported by a disciplined rollout plan turns legal-tech adoption from an aspirational initiative into an achievable, measurable transformation.
Here are five key tips to help you drive adoption and build a group of internal champions.
Tip 1
Build a Clear Test Group
Before full rollout, start small. Choose a pilot group who represent the real day-to-day workflow you’re trying to improve.
Tip 2
Communicate Early, Clearly, and Often
Consider and plan for your internal comms strategy as early as possible in advance of the rollout. Work with your internal marketing/comms team to define:
Transparency builds trust. So does honesty about hiccups.
% Reduction in review time
Hours saved per workflow
Accuracy or error rate improvement
Faster sign-offs
Share “win stories” in internal channels - not just with the pilot group, but wider. It reinforces credibility and sustains buy-in.
Tip 5
Scale with Structure
When your pilot works - pause before scaling. Capture lessons, refine your rollout playbook, and repeat the same disciplined approach. Here are four key steps:
1. Document feedback
2. Standardize templates and comms
3. Define next workflow to automate
4. Repeat the ROI framework
This approach compounds over time - each successful rollout makes the next one easier.
