Nearly 69 percent of legal professionals now use general-purpose AI tools, and their presence in legal practice continues to grow. Lawyers use them to summarize documents, assess risk, and prepare for negotiations. The appeal is understandable. They promise speed and efficiency in a demanding profession.
At Hodges Law Group, the approach to mediation and ADR is shaped by David W. Hodges’ decades of civil and employment work on both sides of the courtroom, giving him a grounded, realistic view of what drives disputes toward resolution. His work reflects a clear-eyed view of where technology can assist and where it can quietly undermine the process.
Where AI Falls Short in ADR
Mediation and arbitration rely on details that resist easy categorization. A fractured business relationship, a credibility problem with a key witness, or unspoken workplace tension can shape a dispute more than the formal claims suggest. Experienced lawyers and neutrals read these dynamics in real time. AI tools do not.
Models trained on large datasets find patterns. They do not understand people. When counsel rely too heavily on AI-generated risk assessments or negotiation frameworks, they may produce recommendations that look precise but miss what actually drives a particular case toward resolution.
Confidentiality and Data Security
Parties enter mediation expecting privacy. They share information they would never put in a public filing. Introducing AI tools into that environment can threaten the confidentiality that makes ADR work.
When lawyers feed mediation statements, draft agreements, or client communications into external platforms, they may not know where that data goes. Many providers retain information or use it to improve their systems. Without careful vetting, sensitive dispute details can end up stored well beyond the life of the mediation itself.
The Problem of Embedded Bias
AI systems reflect the data that trained them. If that data carries historical inequities or uneven enforcement patterns, those biases carry forward into the tool’s output. In an ADR setting, it can quietly shape case valuations, suggested outcomes, or ranked arguments in ways not visible to the parties.
Even when lawyers treat AI outputs as a starting point, parties may question whether unseen factors influenced a recommendation. Neutrals work hard to maintain confidence in the fairness of the process. Opaque tools can erode that confidence without anyone recognizing why.
Risks to Independent Judgment
AI output often looks authoritative. Neatly formatted predictions and confident language can make it tempting to accept suggestions rather than work through the harder analysis independently. That is a real risk when facing deadline pressure.
Effective ADR demands more than pattern matching. Lawyers must weigh client goals, insurance dynamics, reputational concerns, and non-monetary interests. These considerations rarely appear in any dataset. When counsel defer too much to automated tools, they risk losing the independent judgment that makes for effective advocacy and durable settlements.
Key Risks Counsel Should Keep in Mind
When evaluating AI use in ADR preparation or execution, consider the following:
- Confidentiality gaps may arise when external platforms with broad data retention policies process client or case information.
- Embedded bias in training data can skew case valuations and recommended strategies without any visible indication.
- Overreliance on AI outputs can erode the independent judgment that effective mediation and arbitration require.
- Errors in live sessions, such as hallucinated legal citations or inaccurate summaries, can slow momentum and damage credibility.
- Clients may not know AI tools are being used, creating informed consent and trust issues if sensitive details are later traced to third-party systems.
- Professional responsibility obligations still apply fully, regardless of whether a tool contributed to a strategic recommendation.
Ethical and Client Relationship Concerns
Lawyers remain accountable for supervising all assistance, protecting client confidences, and exercising independent judgment. AI involvement does not shift that responsibility. When a tool quietly shapes recommendations, the line between support and delegation can be hard to discern.
Clients who later discover that systems processed sensitive information they did not know about may feel blindsided. Clear, upfront conversations about what tools are used and how the lawyer remains fully in control of all decisions can help build and maintain that trust.
Practical Problems During Live Sessions
Using AI in real time during a mediation or arbitration creates its own risks. Tools that draft offers or summarize positions may slow momentum when outputs need constant correction. Fabricated citations or awkward language in proposed settlement terms can derail productive negotiation.
There is also a perception issue. If other participants notice a lawyer repeatedly turning to a screen for guidance, they may question that lawyer’s preparation. In a setting where presence and credibility matter, that perception can weaken the client’s position.
Hodges Law Group and Responsible ADR Practice
AI may assist with narrow, low-risk tasks, such as organizing information or producing rough drafts for careful human review. Even then, every output should be treated as a starting point. Human judgment, experience, and the ability to read people remain at the core of effective dispute resolution.
Hodges Law Group brings that standard to every mediation and ADR engagement. David W. Hodges’ civil and employment background shapes how he works through difficult negotiations, one rooted in courtroom reality rather than theory. Contact Hodges Law Group to discuss how experience, not algorithms, can move your next dispute toward resolution.