The strongest starting point for parole boards looking to improve operations through technical modernization is with systems that reduce paper-heavy review cycles while giving board members more time to make informed parole decisions.
Takeaways
- AI cannot automate human judgment.
- A single decision to grant parole rests on hundreds of case documents pertaining to an inmate.
- Paper-based processes make it harder to prepare cases, route materials, review complete records, and explain decisions after the fact.
- Boards improve outcomes by creating digital case files, searchable records, structured case management, decision audit reports, and repeatable workflows.
TL;DR
The objective of systems integration in parole boards is not to automate judgement, but to improve a decision maker’s access to information, surface auditable history of past decisions, and maximize a decision maker’s available time to analyze and make life-changing calls.
Parole is a decision of liberty
Parole board members work tirelessly to review and make decisions on cases of inmates eligible for parole. It is a heavy burden of a task, as a decision impacts the liberty or continued incarceration of a single inmate while also affecting families, communities, public safety, victims, and broader reform and reintegration efforts.
Each decision involves processing, reviewing, and understanding hundreds of case documents pertaining to an individual’s institutional behavior, criminal history, rehabilitation progress, mental and physical well-being, release plan, prior parole history, and much, much more.
For many reasons, government agencies are hesitant or restricted from adopting technology without significant review of the systems involved, their benefits, and possible alternatives. AI is absolutely no different, particularly when human freedom is on the line.
As described by the Council on Criminal Justice in its user decision framework, AI includes:
“Automated systems that generate predictions, recommendations, classifications, decisions, actions, or content that influence actions and decisions.”¹
KeyMark’s position is not a controversial one. AI doesn’t automate judgment, especially the judgment required in life-altering decisions.
Start with the case files — not AI use-cases
Many boards assessing AI use-cases lack the technical foundation for responsible adoption and could benefit from far simpler systems like digital case files, decision audit reports, and case management.
That’s because in many cases, the hundreds of pages in an inmate report are still confined to paper documents, scanned packets, disconnected systems, email threads, handwritten notes, or unstandardized summaries. And that creates a significant problem that needs to be addressed before AI adoption.
The cost of paper in parole review
The burden of paper parole review is substantial when staff must manually collect, copy, ship, route, and assemble case files to make a review.
By the time a board member receives paper case files, they may only have hours to review hundreds of pages before a scheduled hearing.
Manual processes multiply when the decision requires more than one vote. If board members are scattered across the state, physical case files may need to move from office to office before a decision can be finalized. In paper-heavy environments, the full process of collecting materials, routing files, reviewing the record, collecting votes, and communicating an answer can stretch to six or eight weeks.
The cost of paper in auditing decisions and on the human brain
According to statistics by CSG Justice Center, over 200,000 inmates are past their parole eligibility.² Those numbers have only grown year over year, while the number of parole approvals has shrunk. The reasons why aren’t always clear, as debriefing and auditing of why a decision was made rely on retrieving any number of scattered files, action summaries, hearing notes/materials, etc. And Prison Policy Initiative reports that most parole boards fail to produce even basic statistics about grants and denials.³ In reality, boards need to report:
- What documents were reviewed?
- Who reviewed them?
- Was anything missing or were corrections made?
- Was the same information available to every reviewer?
- How did the case move from preparation to decision?
- Was the decision consistent with previous similar cases?
Answering these questions is a matter of fairness. If one board member received a complete and well-organized packet while another reviewed scattered or incomplete material, are both decisions equal in accuracy and fairness to the case?
Finally, take into account that board members are making hundreds of these decisions a month. Providing a structured decision framework with reliable referencing to past cases can reduce the mental and emotional fatigue for the person making daily, life-altering decisions.
Solving paper problems with replicable progress
Boards need agile control over all the information used in a case, so naturally, case file digitization is an obvious first step. Modern capture technology like intelligent document processing captures accurate and reliable content from unstructured documents by understanding not just the words on the page, but the context in which they are used.
Equally as important is creating a central case management system — a single source of truth that integrates with file systems and databases to quickly access eligibility status, prepare and deliver case prep, schedule hearings, review case notes, vote, and store decision reasoning.
Paper parole to progress
When a digital case file is routed to multiple authorized reviewers at the same time, when missing documents are flagged earlier, when staff can see where a case sits in the process, when board members can search the record instead of paging through stacks of paper — the clearest win isn’t just time saved.
It’s better decisions made.
It’s one less person waiting in anxiety while their case is reviewed.
It’s decisions made with confidence because the parole approval and successful reintegration of a former inmate is documented and auditable.
And it’s a more sustainable process for board members that reduces burnout and helps keep parole boards staffed.
AFTER these easily addressable baseline improvements, parole boards can start to consider purpose-built use cases for artificial intelligence.
No. AI should not decide whether a person is released, denied parole, revoked, or placed under restrictive supervision conditions. Parole is a liberty decision and requires accountable human judgement.
Yes, in supporting roles. AI can help organize case information, summarize long records, identify missing documents, surface prior decision history, and improve access to information. Any AI-generated output should be reviewed by a human before use.
Start with digitized case files, IDP, structured case management, standardized document types, and decision audit trails. Boards need control over records before evaluating AI.
Remove physical handoffs. Digital case packets can be routed to multiple authorized reviewers at the same time. Missing documents can be flagged earlier. Board members can search records directly. Staff can track case status without waiting for paper files to move between offices.
Intelligent Document Processing converts unstructured content into searchable text using a combination of optical character recognition, natural language processing, and machine learning to recognize and translate content and context. For parole boards, IDP helps staff and board members find names, dates, program completions, violations, prior decisions, and other information inside scanned records.
Paper records often lack a clear chain of review. It may be unclear which documents were reviewed, which version was used, who handled the file, what was missing, or how the decision moved from preparation to final action.
