Core Features
What It Does
Centralized contract repository
Intelligent database with full-text search, metadata filtering, and single source of truth for all contracts across the organization.
Template Management and Clause Libraries
Pre-approved templates and reusable clause libraries that capture institutional knowledge and ensure consistency
Workflow Automation and Approval Routing
Automated routing of contracts through predefined approval chains based on contract value, risk level, or other criteria.
Electronic Signature Integration
Built-in or integrated e-signature capabilities for legally binding execution without leaving the platform.
Version Control and Redlining
Automatic tracking of every version, change, and contributor with side-by-side comparison capabilities.
 Feature
Details
 Present  Missing
Parties and Scope of Work
Defines who is bound by the contract and the exact obligations or deliverables involved.
Parties and Scope of Work
Defines who is bound by the contract and the exact obligations or deliverables involved.
Parties and Scope of Work
Defines who is bound by the contract and the exact obligations or deliverables involved.
Parties and Scope of Work
Defines who is bound by the contract and the exact obligations or deliverables involved.

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AI in legal is rapidly becoming essential to how modern legal teams protect the business, accelerate work, and stay aligned with corporate strategy. Yet, even as enthusiasm grows, legal operations leaders still face the same challenge: competing priorities and limited budgets.

At Beacon Live, New York, grey skies and incessant rains did not dampen the enthusiasm of a group of leaders who came together to catch-up, brainstorm, and network. The roundtable added a bright spot with legal and technology leaders discussing AI budgets for Legal teams.  Kevin Cohn, Chief Customer Officer, Brightflag, Tommie Tavares Ferreira, Chief Strategy Officer, LawTrades, Stephanie Palmieri, Chief Director of Legal Operations, CyberArk, and Sumeet Chugani General Counsel. Cloaked, broke down how they evaluate, prioritize, and secure investment for AI initiatives in legal.

Here are some takeaways that we think stood out.

Prioritize What Matters Most: to the Business, Not Just Legal

Legal may identify a hundred potential AI opportunities. But the organization only cares about the ones that:

  • Reduce revenue friction
  • Mitigate business-critical risk
  • Scale operational output
  • Support strategic growth milestones, IPO or Series B etc.

Stephanie advises starting with a legal maturity assessment and gap analysis,  mapping where AI drives the biggest business impact:

“Is this going to impact a thousand people or two? Does it help us increase speed, reduce risk, or unlock analytics? That drives prioritization.”

Sumeet reinforced this through a CFO lens:

If it doesn’t connect directly to valuation, growth, or revenue velocity in the current stage of the business, it won’t get prioritised.

A Strong Narrative Wins Budget. Can't Get Stronger Than AI.

Tommie framed it simply:

What story is your legal team telling? Are you an AI-powered legal department? If so, that narrative helps justify where you need to invest.

Legal Ops shouldn’t just pitch a tool - they should pitch transformation:

  • AI is how we avoid headcount dependency
  •  AI is how we meet executive productivity expectations
  • AI is how legal becomes a speed enabler for sales and product

If AI becomes part of the legal brand and expectation , it self-sells.  

Proof of Value > Promise of Value

AI is new. CFOs are wary. The panel agreed:

  • Run a proof-of-concept before budget approvals
  • Compare tools apples-to-apples
  • Validate performance, adoption, and security

Stephanie put adoption front and center:

“Longevity matters. Roadmap matters. Ability to integrate matters. Can your people actually use it?”

Procurement will care about risk posture. Finance will care about the payback period. And  Legal Ops must be ready for both.

Pitch the Upside And Be Honest About the Risk.

Executives expect bold bets right now, but grounded ones.

Sumeet shared the balance:

“Start with top-line outcomes. But be clear on potential risks and whether the business can accept them right now.”

The tone depends on the room:

  • When the business is missing revenue → Position AI as speed/no-deal-left-behind
  • When mistakes have happened → Position AI as safeguard/net for future exposure

Great legal operators understand that timing is everything.

Sometimes… It’s Just Not Priority (And That’s OK)

Every guest in the room raised a hand when asked if they’d ever walked into leadership confident their initiative was the most important, only to discover that… it wasn’t.

Budget doesn’t flow to isolated priorities; budget flows to portfolio-wide strategy.

Which means Legal Ops leaders must:

  • Know what keeps the CEO awake
  • Show empathy for business realities
  • Fit into the highest-value company initiatives

AI is accelerating the pace of business. But that only makes prioritization more cut-throat.

Key Playbook to Win AI Budget 

What to Do Why it Works
Start with a legal maturity and gap mapping Shows strategic thinking and avoids random AI buys
Tie every request to revenue, valuation, or strategic goals Aligns to CFO language
Run proof-of-concepts Removes uncertainty and strengthens the pitch
Measure impact and adoption early Ensures success isn’t hypothetical
Stay flexible; avoid long lock-ins AI is evolving fast; don’t handcuff innovation

Legal Ops finally has a moment  and a mandate to transform how legal works. But great outcomes require great business cases. So while AI may be the fuel, strategy remains the ignition. 

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