10 Software Evaluation Criteria for PI Firms

The fastest tool isn't always the safest choice. A polished demo can make a legal AI platform look ready for production while hiding how it handles incomplete medical records, scanned documents, psychiatric notes, conflicting treatment dates, or sensitive PHI. Personal-injury firms need more than speed. They need evidence that the software preserves medical-record accuracy, protects client information, fits the firm's existing process, and creates measurable value without weakening attorney oversight.

Use software evaluation criteria as a weighted buying process, not a feature-counting exercise. Rank case-critical requirements first, test vendor claims against representative files, document every limitation, and establish pass/fail conditions before procurement. A platform that drafts quickly but invents facts, loses citations, or creates unclear data obligations shouldn't survive the shortlist.

The criteria below turn that standard into practical checkpoints. Ask each vendor to demonstrate the workflow using your typical records, not a carefully prepared sample. Require human review for consequential outputs, especially medical summaries, causation narratives, demand letters, and anything that could influence settlement strategy.

1. Functional Requirements and Case Processing Capabilities

A PI platform must handle the work your team performs. Start with medical-record ingestion, OCR for scanned files, provider identification, diagnosis extraction, treatment chronology, case summaries, and demand-letter preparation. A tool that performs well on clean digital documents but struggles with handwritten notes, poorly scanned charts, or records from multiple providers won't reduce the burden that matters most.

Ask vendors to process a representative set of cases covering auto injuries, workplace injuries, and premises liability. Include records with duplicated pages, inconsistent provider names, imaging reports, laboratory results, billing material, and gaps in treatment. Test whether the platform identifies key medical events and preserves the source context needed for attorney verification.

Ares describes workflows for extracting dates, diagnoses, treatments, providers, and symptom chronology from medical records, then turning those materials into organized summaries and demand drafts. That approach fits a firm that needs to move from unstructured documents to a reviewable case narrative without relying on manual sorting alone.

Turn the demo into a workflow test

Require the vendor to show:

Document handling: Upload scanned and native files, then inspect OCR results and page-level references.
Medical organization: Check whether the output separates providers, diagnoses, procedures, medications, and symptoms.
Causation support: Test whether the system distinguishes documented facts from inferences rather than presenting every pattern as established causation.
Export quality: Confirm that summaries and drafts can move into your document-management and case-management systems without extensive reformatting.

Practical rule: A feature qualifies only when your paralegals can use it on a real case and attorneys can verify the result quickly.

Show one output to the person who'll use it every day, not only to the partner who attended the demo. The right system should make complex records easier to inspect, not create another layer of administrative review.

2. HIPAA Compliance and Healthcare Data Security

Security isn't a checkbox beneath usability. A PI firm sends medical records into a system that may contain diagnoses, psychiatric evaluations, addiction-treatment information, genetic details, and other sensitive PHI. Evaluate whether the vendor can protect that information across ingestion, processing, storage, access, export, deletion, and support.

Request the vendor's HIPAA documentation, Business Associate Agreement, security architecture, incident-response policy, access-control model, encryption details, and audit-log capabilities. Review whether the BAA covers every processing activity and subcontractor. A vendor's marketing statement that it's “HIPAA compliant” doesn't tell you whether your contractual protections, deletion obligations, breach procedures, and support access are adequate.

Independent evaluation guidance identifies controls such as encrypted communications, audit logs, role-based access, and SOC 2 Type 2 evidence as important safeguards for healthcare platforms. Use those controls as questions, then verify the answers in actual documentation rather than accepting a slide presentation.

Questions your security review must answer

Access control: Can administrators restrict access by role, matter, office, or need to know?
Auditability: Can your firm see who viewed, changed, exported, or deleted a record?
Incident response: Does the contract set a clear breach-notification process and responsibility?
Vendor assurance: Will the vendor provide relevant third-party assessments and maintain cyber liability coverage?
Data boundaries: Can the vendor explain where PHI is processed and which subprocessors can access it?

For a practical comparison of document controls, use this guide to HIPAA-compliant document management while reviewing the platform's own policies. You can also compare the vendor's file-transfer process with this guide to secure client file exchange.

Test the permission model with fictional roles that resemble your firm. A system that protects data in theory but gives broad default access in practice creates unnecessary exposure.

3. Artificial Intelligence Accuracy and Reliability

AI accuracy has to be measured against the errors your attorneys can't afford. Missing a treatment date, confusing providers, omitting a diagnosis, or blending two patients' records can distort a case narrative. A fluent paragraph isn't evidence of reliability. The firm needs traceable outputs that reviewers can compare with source documents.

Build an evaluation set from difficult, representative files. Include narrative reports, charts, laboratory results, imaging reports, bills, scanned pages, duplicated records, and records with conflicting dates. Ask the vendor to explain how it validates extraction quality by document type and how it handles uncertainty, missing information, conflicting entries, and low-quality source material.

The Ares guidance on AI medical-record review offers a useful lens for assessing whether a platform can turn medical records into organized, reviewable information. Treat any vendor benchmark as a starting point, not a substitute for your own validation.

Measure correction work, not just output speed

During a pilot, reviewers should record:

Missed facts: Important dates, diagnoses, providers, treatments, or symptoms absent from the output.
Added facts: Statements that don't appear in the source records.
Classification errors: A symptom, procedure, or diagnosis assigned to the wrong provider or time period.
Citation weaknesses: Claims that lack a clear page or document reference.
Consistency problems: Different outputs for materially similar records or repeated runs.

Have attorneys review the highest-risk outputs, while paralegals assess whether the extraction reduces their work. Establish an internal quality-assurance process before broad adoption. Human review remains mandatory for causation conclusions, liability theories, damages narratives, and demand-letter language.

A useful standard is simple: the AI should help your team find and organize facts faster, but it must never become the unexamined source of truth.

4. Integration and Interoperability with Existing Legal Systems

A standalone tool can create a new silo even when its individual features are strong. Map every system involved in your PI workflow before you compare vendors, including case management, document management, billing, CRM, email, calendaring, trial preparation, and secure file exchange. Then identify where staff currently retype names, dates, medical events, expenses, and status updates.

Ask each vendor to demonstrate the integration using actual firm data in a controlled environment. Don't settle for a statement that an API exists. You need to know what data can move, how often synchronization occurs, how errors are reported, how duplicate records are handled, and who supports the connection when something breaks.

Test the handoffs

A practical integration test should follow one matter from upload to attorney review:

Ingest: Add the source records and confirm that matter identifiers remain attached.
Process: Generate the medical summary and inspect links or references back to source pages.
Export: Move the output into your document-management system using the format your team already uses.
Update: Change a matter field and confirm whether the connected systems reflect the change.
Recover: Create an intentional error and see whether the user receives a clear correction path.

Compatibility means more than importing a PDF. The exported information should preserve useful structure, naming conventions, and metadata. A demand draft that requires manual copying into the firm's existing workspace may erase much of the claimed efficiency.

Request API documentation, rate limits, sync frequency, authentication requirements, sandbox access, and integration support terms. Include IT or operations staff in the test. They'll identify maintenance risks that a product demo usually avoids.

5. Data Ownership, Privacy and Portability Rights

Your firm should control its case data, understand how the vendor may use it, and retain a practical way to retrieve it. Don't rely on a privacy-policy summary or a salesperson's assurance. Review the service agreement, data-processing terms, BAA, acceptable-use policy, and any machine-learning provisions together.

The contract should state whether the firm owns uploaded records, extracted information, summaries, drafts, annotations, and matter metadata. It should also identify whether the vendor can use those materials for product improvement, analytics, or model training. If consent is required for secondary use, make sure the contract describes how consent works and whether the firm can refuse without losing core functionality.

Demand an exit path before signing

Ask for written answers to these questions:

Retrieval: Can the firm export all source records, generated outputs, metadata, and audit information?
Formats: Are exports available in practical formats such as PDF, CSV, JSON, or native files?
Deletion: What happens to active data, backups, cached files, and subprocessors' copies after termination?
Residency: Where are records stored and processed, and can the vendor meet your location requirements?
Privilege: Do the contract terms preserve confidentiality and restrict unauthorized vendor access?
Failure planning: What happens if the vendor suffers an extended outage or stops operating?

Use the vendor's answers to assess switching risk, not just privacy risk. Data portability matters because a firm can't make a defensible long-term purchase if leaving requires rebuilding every matter by hand.

Put critical protections in the signed agreement. A promise made during procurement is difficult to enforce if the contract says something else.

6. Cost Structure and Return on Investment

Price should be evaluated as total cost of ownership, not as the subscription line alone. Include implementation, migration, integrations, training, support, storage, additional users, usage-based processing, custom development, renewal increases, and internal quality assurance. A low entry price can become expensive if staff must clean outputs, reformat documents, or maintain workarounds.

Build the business case from your own workflow. Establish a baseline for the time spent collecting records, sorting pages, building timelines, drafting summaries, preparing demand letters, and correcting avoidable errors. Then define what the platform must change to justify the purchase. Possible outcomes include reduced review time, greater case capacity, faster partner review, improved record completeness, or stronger consistency across demand packages.

Ares' publisher information says firms report eliminating 10 or more hours of manual review and drafting per case, but treat that as a claim to validate in your own pilot, not as a guaranteed result. Your firm's file complexity, staffing model, review standards, and adoption rate will determine the actual outcome.

Tie payment to evidence

Ask vendors for:

Comparable references: Speak with firms that resemble yours in size, case mix, and workflow.
Transparent pricing: Confirm whether fees are per user, matter, document, page, or processing event.
Implementation scope: Identify what's included in onboarding, integration, configuration, and training.
Renewal terms: Review price-adjustment language and termination rights.
Pilot economics: Determine whether a limited trial can produce reliable internal measurements.

Calculate ROI with conservative assumptions. Don't assign value to a potential settlement increase unless your attorneys can explain how the software would produce and verify that improvement. Efficiency gains should also account for review time, because PI firms still need qualified people to validate consequential outputs.

7. User Experience and Ease of Adoption

The person who uploads records and checks the timeline determines whether the software delivers value. A partner may approve a platform after a polished presentation, but paralegals and case managers will expose its real usability within the first week. Put those users in the evaluation room and give them realistic tasks without coaching from the vendor.

Test account setup, matter creation, file upload, processing status, review navigation, correction workflows, collaboration, export, and support access. Watch where users hesitate. Count the steps required to complete common actions, but don't confuse fewer clicks with better control. A fast interface that hides source citations can be less useful than a slightly slower interface that makes verification straightforward.

Run an adoption rehearsal

Give a new or less technical team member a short set of instructions and observe whether they can:

Start a matter: Create the correct workspace and apply the firm's naming conventions.
Upload records: Add files without losing order, provenance, or matter association.
Review results: Find extracted dates, diagnoses, providers, and source references.
Correct errors: Fix an extraction without creating a confusing duplicate.
Share work: Send an attorney a clear, export-ready summary or draft.

Evaluate onboarding materials, documentation, support responsiveness, accessibility, and remote use. Ask whether updates change the workflow and how the vendor communicates those changes. Reviews on platforms such as G2 and Capterra can reveal recurring usability concerns, but verify review claims with your own hands-on testing.

Software adoption is an operational requirement. If the workflow feels harder than the old process, staff will create informal workarounds and your data quality will deteriorate.

Choose the product your team can use correctly and repeatedly. Familiarity and trust are more valuable than a long feature list that nobody uses.

8. Scalability and Performance Under High Volume

A platform that works for one matter may fail during a settlement push, bulk intake period, or firm expansion. Evaluate performance across users, file size, document quantity, concurrent processing, storage, and peak demand. Ask the vendor to define capacity limits instead of offering a general assurance that the system “scales.”

Use a workload that resembles your firm's busiest operating conditions. Upload multiple matters, include large medical records and scanned documents, and have several users review outputs at the same time. Measure queue behavior, processing visibility, response times, export reliability, and recovery after an interrupted upload.

Require operational evidence

Request:

Service levels: Review uptime commitments, exclusions, service credits, and maintenance notices.
Capacity planning: Understand user limits, file limits, batch-processing capability, and storage rules.
Resilience: Ask about redundancy, backups, disaster recovery, and recovery testing.
Peak support: Learn how the vendor handles incidents when your firm has urgent deadlines.
Cost scaling: Model how fees change as matters, users, and processing volume grow.

Don't accept a benchmark that doesn't match your workflow. A vendor may test clean documents under light load while your firm handles fragmented records and simultaneous users. Have an operations lead sign off on the result, because performance problems often appear first as delays, duplicate uploads, or staff abandonment rather than as a visible outage.

Scalability also includes organizational growth. Confirm that permissions, templates, integrations, reporting, and training can support additional offices or practice groups without forcing the firm to rebuild its process.

9. Customization and Workflow Flexibility

Every PI firm has preferred demand-letter structures, review standards, provider categories, injury classifications, naming rules, and escalation points. A rigid platform can force unnecessary process changes. A highly customizable platform can create maintenance obligations that outlast the original implementation team.

Identify your most important workflows before requesting configuration. Show vendors how your firm organizes a matter, flags treatment gaps, reviews chronology, prepares a demand package, and moves work from paralegal to attorney. Then ask which changes administrators can make themselves and which require vendor development.

Separate useful configuration from risky complexity

Prioritize customization that improves consistency:

Templates: Adapt demand-letter language, headings, disclaimers, and firm branding.
Field mapping: Match extracted information to your case-management fields.
Rules: Set review prompts for missing records, conflicting dates, or unusual entries.
Permissions: Align workflows with roles, offices, and matter sensitivity.
Exports: Preserve the structure your litigation and document systems already expect.

Avoid custom features that only one person understands. Document every configuration, identify its owner, and ask how updates affect it. A customization that breaks after a product release can create more work than it saves.

Test whether the platform supports your actual case types without forcing unnecessary coding. Flexibility should help the firm preserve sound practices while standardizing repetitive work. It shouldn't become an excuse to automate an unclear process.

10. Vendor Stability, Support and Long-Term Viability

A software purchase creates dependence. Your firm will invest time in configuration, training, integration, data preparation, and staff habits. Evaluate whether the vendor can support that relationship through security incidents, product changes, staffing transitions, growth, and eventual migration.

Look beyond the sales team. Ask for customer references, support escalation procedures, roadmap visibility, release practices, security-response history, and contractual protections if the vendor becomes unavailable. Speak with current customers about response quality, unresolved defects, onboarding, billing, and whether promised integrations work in daily use.

Review the vendor as a business partner

Check:

Support model: Identify support hours, escalation paths, response commitments, and ownership of critical incidents.
Product direction: Compare the roadmap with your firm's priorities, especially security, integrations, and AI controls.
Customer evidence: Look for patterns across reviews and ask references about issues, not only successes.
Continuity planning: Confirm how you'll retrieve data if the vendor fails, is acquired, or discontinues the product.
Contract protection: Align service levels, security obligations, notification duties, and exit rights with operational risk.

A vendor's size alone doesn't prove suitability. A larger provider may offer broader support but less flexibility. A smaller provider may respond quickly but present greater continuity risk. Score the evidence you can verify, then require contractual remedies for the risks you accept.

For background on the role of a legal technology provider, review Ares' legal technology company guide. During diligence, you can also use this ITAD partner risk assessment checklist to structure questions about continuity, controls, and vendor dependence.

10-Point Software Evaluation Matrix

Item	Implementation complexity	Resource requirements	Expected outcomes	Ideal use cases	Key advantages
Functional Requirements & Case Processing Capabilities	Medium, setup, OCR and workflow training required	Moderate, paralegals for validation, sample records for testing	Faster document review, organized timelines, ready-to-edit demand letters	High-volume PI case review, multi‑provider medical files	Automated extraction, standardized narratives, large time savings
HIPAA Compliance & Healthcare Data Security	High, security config, BAAs and audits needed	High, IT, legal review, ongoing security audits	Regulatory compliance, reduced breach risk, audit trails	Firms routinely handling PHI and sensitive medical data	End-to-end encryption, RBAC, audit logs, BAAs
Artificial Intelligence Accuracy & Reliability	Medium, validation, ongoing QA and retraining	Moderate, test datasets, human verification workflow	Precise extractions and summaries (with oversight), consistent analysis	Scaling document analysis, complex multi‑provider cases	High-speed extraction, pattern detection, confidence scoring
Integration & Interoperability with Existing Legal Systems	Medium–High, API mapping and connector setup	High, developers or vendor integration support, sandbox testing	Single source of truth, reduced duplicate entry, automated syncs	Firms with established PMS/DMS/CRM ecosystems	REST/connectors, two‑way sync, webhook and export support
Data Ownership, Privacy & Portability Rights	Low–Medium, contract negotiation and verification	Low, legal review of agreements and export tests	Clear ownership, exportable data, reduced vendor lock‑in	Firms sensitive to privilege, portability, and compliance	Explicit ownership clauses, export formats, data residency controls
Cost Structure & Return on Investment (ROI)	Medium, pilot, pricing modeling and negotiation	Moderate, finance analysis, pilot cases, implementation cost	Predictable costs, measurable time and cost savings over months	Budget-conscious firms and high-volume practices	Transparent pricing tiers, clear ROI examples, pilot options
User Experience & Ease of Adoption	Low, quick onboarding and in‑app guidance	Low, minimal training, access to support resources	Rapid adoption, lower training overhead, faster time‑to‑value	Small teams, paralegals, solo practitioners	Intuitive UI, drag‑and‑drop, guided tutorials, fast onboarding
Scalability & Performance Under High Volume	Medium, performance testing and SLA review	Moderate, higher‑tier plans, load testing resources	Consistent responsiveness at scale, reliable uptime	Growing or enterprise firms with heavy document volumes	Cloud auto‑scaling, batch processing, high uptime SLAs
Customization & Workflow Flexibility	Medium–High, configuration or custom development	High, implementation budget, possible developer resources	Tailored workflows, better fit to firm processes, preserved templates	Firms with specialized workflows or branding needs	Configurable templates, rule‑based automation, API access
Vendor Stability, Support & Long-term Viability	Low, due diligence, reference checks, contract clauses	Low–Moderate, time for research, legal review, SLA negotiation	Reduced business continuity risk, dependable support and updates	Firms prioritizing long‑term partnerships and data safety	Funding/retention evidence, SLAs, export guarantees and support

Turn the Checklist Into a Defensible Buying Decision

A list of software evaluation criteria becomes useful only when it controls the decision. Assign the greatest weight to functional fit, AI accuracy, HIPAA and PHI controls, data ownership, portability, and integration. Those criteria affect medical-record integrity, client confidentiality, workflow continuity, and the firm's ability to defend its process. Give lower weights to preferences that don't affect case integrity, such as cosmetic interface choices or nonessential features.

ISO/IEC 25010 provides a recognized foundation for this approach. First published in 2011 and updated in 2023, it defines a product quality model with nine characteristics for ICT and software products, including functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The framework's purpose is to create common terminology for specifying, measuring, and evaluating software quality, which supports a multi-criteria procurement process rather than an anecdotal decision. ISO/IEC 25010 is useful as a quality vocabulary, but your firm still needs PI-specific tests.

Create a scorecard with weighted categories and documented evidence. Separate mandatory pass/fail requirements from scored preferences. A vendor should be removed from consideration if it can't provide acceptable PHI protections, clear data rights, reliable source traceability, or a workable export path. Don't let a strong score in usability compensate for a fundamental confidentiality or accuracy failure.

Run a controlled pilot

Choose Ares or another qualified platform and test it with representative, permissioned files. Measure review time, correction rates, missed facts, citation quality, adoption by paralegals, export quality, integration behavior, and support responsiveness. Keep a record of the original files, generated outputs, reviewer corrections, and unresolved questions. Don't use vendor-selected examples as your primary evidence.

The pilot should include attorneys, paralegals, IT or operations staff, and firm leadership. Each group sees a different risk. Attorneys assess legal usefulness and defensibility. Paralegals assess daily effort. IT reviews security and integration. Leadership evaluates cost, continuity, and capacity.

One July 2025 survey of enterprise software decision makers found that 40.6% named generative AI capabilities as a top purchase criterion, while 39.6% prioritized breadth and depth of features and functionality, according to Futurum Group's buyer research. That result reinforces the need to evaluate AI, but it shouldn't turn AI into a reason to ignore security, evidence quality, or workflow fit.

Trust deserves its own review. A 2025 buyer study reported that 78% of buyers consider a vendor's security-incident history before purchasing, while TrustRadius analysis found that 80% used personal research to define criteria and 35% of enterprise buyers had difficulty aligning internally, as summarized by SoftwareSuggest's buyer behavior report. Use those findings as a reminder to document evidence and resolve disagreement before signing, not as a substitute for your own diligence.

Finish with a contract review. Put security obligations, data ownership, permitted data use, deletion, portability, service levels, breach notification, support, renewal terms, and termination rights in writing. Then schedule a post-pilot review with the same scorecard. If the platform can't demonstrate safer, more reviewable, and more efficient case processing on your records, don't buy it because the demo looked fast.

Ares offers personal-injury firms AI-powered medical-record review and demand-letter drafting, with organized case insights designed for attorney and paralegal review. Visit Ares to evaluate the platform against your own software evaluation criteria and request a practical product demonstration.