Harvey FORUM London: What Legal Teams Should Expect
Harvey is hosting its first FORUM in London on February 23-24, bringing together law firms and in-house leaders to discuss how AI is changing legal work. The agenda centers on productizing agentic workflows, new revenue lines, hiring and retention, and how client-firm collaboration is evolving.
If you lead a practice, a legal function, or innovation, here's a practical briefing to help you get value from the event-and turn ideas into measurable outcomes.
Agentic workflows: from pilots to products
"Agentic" means multi-step, goal-driven workflows that move a matter from intake to output with minimal handoffs. The opportunity is to standardize repeatable work and package it as reliable services.
- Examples: NDA review and negotiation, litigation summarization packs, regulatory change tracking, first-draft contracts with clause playbooks, eDiscovery issue tagging, matter intake triage.
- Productize with intent: define scope, sources of truth (DMS/CLM), approval paths, SLAs, and QA gates. Track accuracy, cycle time, escalations, and user satisfaction.
- Own it end-to-end: name a product manager, set a release cadence, and publish a change log so lawyers trust the system.
For foundational know-how and training paths, see AI for Legal.
Revenue and pricing: grow beyond hours
AI-enabled delivery opens new commercial models that clients already expect.
- Fixed-fee or subscription packages for high-volume work (NDAs, DPAs, vendor diligence, playbooked contracts).
- Outcome-based tiers anchored to turnaround time, scope, and escalation rates.
- Managed services that combine human experts, data, and AI workflows under one SLA.
- White-label toolkits for clients who want internal enablement with your oversight.
Leaders weighing firmwide strategy and adoption frameworks can explore AI for Executives & Strategy.
Talent, hiring, and retention: build the new mix
Roles and skills are shifting, but the core is still legal judgment. Pair it with product, data, and change operations.
- Key roles: AI product counsel, legal data engineer, AI ops lead, practice innovation manager, and change champions within each group.
- Upskill priorities: prompt design for legal tasks, playbook engineering, data quality stewardship, review standards, and variance analysis.
- Retention move: give associates ownership of AI-enabled products-clear metrics, visible wins, and credit for efficiency and quality.
In-house priorities: measurable impact with risk under control
Corporate legal teams will press for proof, not hype. That means defensible controls and metrics that tie to business goals.
- North-star metrics: cycle time to signature, % auto-resolved matters, accuracy vs. gold standard, write-offs reduction, and stakeholder satisfaction.
- Risk controls: human-in-the-loop checkpoints, data minimization, prompt/output logging, vendor assessments, and DPIAs where required.
- Useful frameworks: the ICO's guidance on AI and data protection (ICO AI guidance) and the NIST AI Risk Management Framework (NIST AI RMF).
Client-firm collaboration: new operating standards
Expect more shared systems and data contracts between clients and firms.
- Shared taxonomies and clause libraries to reduce friction across matters and vendors.
- APIs into client CLMs and knowledge hubs for clean handoffs and auditability.
- Joint governance: model cards, evaluation sets, and escalation paths agreed upfront.
What investors may read between the lines
The FORUM signals a push to make Harvey a core platform in AI-driven legal delivery. If adoption accelerates among decision-makers, expect stronger enterprise traction, deeper integrations, and new recurring revenue streams tied to standardized workflows.
Signals to watch at the event
- Credible case studies with baseline vs. post-implementation metrics.
- Reference architectures for data, security, and approvals within legal.
- Pricing models aligned to value, not effort.
- Governance playbooks that address bias, confidentiality, and audit trails.
- Change management plans that scale beyond a single champion.
Action steps for your team
- Pick two workflows per practice to productize in Q1-Q2; write the SLA and QA rules first.
- Stand up an evaluation set (50-100 examples) per workflow; measure accuracy and variance weekly.
- Define human-in-the-loop checkpoints and escalation criteria; document them in your matter playbook.
- Pilot a value-based price on one high-volume service; track margin, speed, and satisfaction.
- Run a 4-week enablement sprint: training, role definitions, and a go-live calendar with owners.
Bottom line
The firms and legal departments that win this year will ship real products, quantify outcomes, and manage risk in plain sight. Use the FORUM to collect patterns you can apply on Monday, not theories you'll shelve by Friday.
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