Just as BW Legal World explores the evolving role of technology in the legal sector, Rajesh Kumarsenior correspondent, sitting together Mark RiddickVice President of Sales at Findability Sciences. Riddick has extensive experience helping organizations leverage AI for operational excellence and discusses how artificial intelligence can transform legal teams from reactive cost centers to strategic business partners. In this conversation, he reflects on the practical applications of AI in contract reviews, intellectual property management and compliance.
How does AI convert legal departments from reactive cost centres to strategic business partners?
Mark Riddick: AI is transforming the legal department from reactive cost centres to strategic business partners by fundamentally reshaping how legal work is done. Instead of straining manual time-intensive tasks, in-house lawyers are now leveraging AI to automate drafting, streamline research and enable real-time decision support. These tools do not replace legal expertise. They amplify it, remove bottlenecks, and increase the speed, accuracy and consistency of legal achievements.
AI also enables legal teams to become smarter, more data-driven contributors towards their business. By extracting insights from contracts, tracking the evolution of clauses, and benchmarking the performance of external lawyers, the legal department can make more informed decisions and provide measurable value. This shift not only drives operational efficiency, but also increases legal teams' ability to negotiate, allocate resources and align legal strategies with business goals. The result is a more agile, insight-driven legal function that actively contributes to growth, risk mitigation and competitive advantage.
What practical ways can legal teams start AI integration, such as contract reviews and NDA automation?
Mark Riddick: Below is an example of AI support in IP management.
- Automated patent launch: AI tools can generate first draft patent applications based on structured disclosure, time savings and improved consistency.
- Office action response suggestions: AI can analyze examiner history and precedents to generate tailored draft responses, promote turnarounds and improve quality.
- Real-time docket trigger: An integrated AI system can track deadlines, jurisdiction-specific requirements, and trigger alerts for updates or filing windows.
- IP Due Diligence Support: AI can accelerate red flag reviews and clause extraction in licenses or M&As, reducing human workloads while increasing visibility.
- Innovation Mining: AI can analyze R&D data, lab notes, and publications to identify gaps in unprotected inventions or portfolios.
- Conflict monitoring: AI models can scan global patent applications, track market signals, and flag potential IP threats or collaboration opportunities.
How can adoption of AI in legal capabilities help reduce workload-related stress and improve legal professional retention?
Mark Riddick: AI has excellent legal capabilities in three areas: speed, standardization and scale. It does not make legal decisions, but it sorts out the confusion. Sieve through thousands of documents to find what's important. It flags unusual clauses that could otherwise slip through. It provides a summary of the first draft, proposes precedent-based litigation strategies, highlighting potential risk areas for third-party papers.
For lean teams, this is a lifeline. For a global team, it is a multiplier of force. Companies and departments that see the greatest profits are not necessarily the biggest spenders. They start at the best friction points. Think about it: vendor agreements, policy updates, and jurisdictional compliance checks.
And it's not just a contract work. AI has proven useful even before the lawsuit. It interferes with similar past judgments, recommends discussion based on jurisdictional outcomes, and identifies inconsistencies in findings. For businesses with high IP, AI tools can now help map the scope of patents and identify risks in your filing strategy.
Can we share examples of how AI-driven legal automation can increase compliance and reduce operational risk?
Mark Riddick: AI-driven legal automation significantly enhances compliance and reduces operational risks for legal departments across the industry. One of the main areas of impact is monitoring regulatory compliance. AI can track legal and procedural changes across jurisdictions, including patent application requirements, data localization obligations, and grace periods, and organize legal teams in real time, reducing the risk of missing deadlines and violations. It also allows for surveillance of contract clauses, scan contracts in non-standard or high-risk languages, assigning risk scores, and flagging deviations from approved templates. This ensures consistent enforcement of internal standards while reducing review times.
In the area of litigation preparation, AI supports automated auditing of document sets, ensuring consistency between contracts, emergence of abnormalities, or lack of clauses that could put the company at risk. It also helps to organize documents more efficiently for potential disputes and regulatory audits. Additionally, AI can automate dockets and global regulatory applications, reducing the chances of management errors. This is an intelligent alert and a pre-filled form of procedural due to missed renewal deadlines and jurisdiction-specific compliance failures.
Finally, AI will enhance compliance with internal policies by monitoring unauthorized disclosures, flagging improper use of generation tools, and ensuring that contracts or confidential documents are routed and properly tracked. In all these applications, AI acts as a force multiplier, reducing the manual burden on legal teams, raising potential risks early, and enabling compliance at scale without sacrificing speed or accuracy.
How will the role of internal legal advisors evolve as AI becomes crucial to legal strategy and decision-making?
Mark Riddick: As AI becomes crucial to legal strategy and decision-making, the role of internal legal advisors has evolved from a reactive risk manager embedded within the business to an active strategic advisor. AI is released to focus on more strategic responsibilities by handling many everyday large numbers of tasks, including contract reviews, clause comparisons, dockets, and legal research. This includes shaping IP protection strategies, guidance on regulatory visions, supporting high-stake negotiations, and advice on complex M&A or compliance issues. Legal teams are becoming more data-driven to influence enforcement decisions and improve legal practices using insights generated in contracts, filings, and AI from internal systems.
In-house lawyers are considered operational leaders, working closely with departments like it, procurement and compliance to integrate legal technology and automate workflows. At the same time, they are stepping into the role of ethical stewards in AI. In particular, we are responsible, transparent and compliant with these tools across our organization, especially as questions about data privacy, IP ownership and AI-generated content.
Ultimately, AI will not replace in-house lawyers. It is elevating their role. By removing manual bottlenecks and emerging actionable insights, AI can help legal experts promote greater business value, influence corporate strategy, and become a deeper, integrated partner in innovation and growth.
